Tootfinder

Nvidia's app gets global DLSS override and more control panel features, including anisotropic filtering, anti-aliasing, and ambient occlusion (Tom Warren/The Verge)
https://www.theverge.com/news/760488/nvidia-app-dlss-override-control-panel-features…

Nvidia’s app gets global DLSS override and more control panel features
Nvidia is adding more features to its latest PC app. A new global DLSS override feature is coming, alongside more legacy control panel features.

We have to fight with everything we have against the awful "Chat Control" proposal. It is very easy to explain why it is a very bad idea but because the subject is child abuse, everybody loses rational thinking capabilities it seems. https://www.patrick-breyer.de/en/posts/chat-contr…

Chat Control: The EU's CSAM scanner proposal
🇫🇷 French: Traduction du dossier Chat Control 2.0 🇸🇪 Swedish: Chat Control 2.0🇳🇱 Dutch: Chatcontrole The End of the Privacy of Digital Correspondence Take action to stop Chat Control now! The Chat Control 2.0 proposal in detail Changes proposed by the European Parliament

I'll gonna take some time today to personalize the message and send out emails from my own account to hopefully ditch filtering on the target side and make my voice heard. Allowing chat control does not only put privacy and democracy in danger. At times of constant digital attacks from rogue states like Russia, the US, North Korea and China etc. it should be obvious that having weak encryption and standard backdoor access to secure communications channels is an invitation for any malici…

Fight Chat Control (@chatcontrol@mastodon.social)
Angehängt: 1 Bild Germany's position has been reverted to UNDECIDED. Despite expressing concerns about breaking end-to-end encryption, Germany refrained from taking a definitive stance on the Chat Control proposal during the September 12th LEWP meeting. A willingness to negotiate and compromise remains. This is an unfortunate development as Germany is crucial to defeating Chat Control. Please make your voices heard! https://fightchatcontrol.eu/ Source: https://netzpolitik.org/2025/chatko…

Safety Critical Model Predictive Control Using Discrete-Time Control Density Functions
Sriram S. K. S. Narayanan, Sajad Ahmadi, Javad Mohammadpour Velni, Umesh Vaidya
https://arxiv.org/abs/2509.13257

Safety Critical Model Predictive Control Using Discrete-Time Control Density Functions
This paper presents MPC-CDF, a new approach integrating control density functions (CDFs) within a model predictive control (MPC) framework to ensure safety-critical control in nonlinear dynamical systems. By using the dual formulation of the navigation problem, we incorporate CDFs into the MPC framework, ensuring both convergence and safety in a discrete-time setting. These density functions are endowed with a physical interpretation, where the associated measure signifies the occupancy of syst…

"Going around in Circles: Interrogating Librarians’ Spheres of Concern, Influence, and Control"
https://www.inthelibrarywiththeleadpipe.org/2025/circles/
"The practice placing one’s anxieties into circles of concern, influence, and control can be found…

3 members of federal control board in Puerto Rico sue Trump and others for illegal firings | Financial Post
https://financialpost.com/pmn/3-members-of-federal-control-board-in-puerto-rico-sue-trump-and-others-for-illegal-firings

A Synthetic Data Pipeline for Supporting Manufacturing SMEs in Visual Assembly Control
Jonas Werheid, Shengjie He, Aymen Gannouni, Anas Abdelrazeq, Robert H. Schmitt
https://arxiv.org/abs/2509.13089

A Synthetic Data Pipeline for Supporting Manufacturing SMEs in Visual Assembly Control
Quality control of assembly processes is essential in manufacturing to ensure not only the quality of individual components but also their proper integration into the final product. To assist in this matter, automated assembly control using computer vision methods has been widely implemented. However, the costs associated with image acquisition, annotation, and training of computer vision algorithms pose challenges for integration, especially for small- and medium-sized enterprises (SMEs), whic…

Appreciate the WSJ essay from Lauren Powell Jobs on Philanthropy/Giving https://www.wsj.com/us-news/laurene-powell-jobs-beware-of-philanthropists-who-want-control-in-exc…

AgentCTG: Harnessing Multi-Agent Collaboration for Fine-Grained Precise Control in Text Generation
Xinxu Zhou, Jiaqi Bai, Zhenqi Sun, Fanxiang Zeng, Yue Liu
https://arxiv.org/abs/2509.13677

AgentCTG: Harnessing Multi-Agent Collaboration for Fine-Grained Precise Control in Text Generation
Although significant progress has been made in many tasks within the field of Natural Language Processing (NLP), Controlled Text Generation (CTG) continues to face numerous challenges, particularly in achieving fine-grained conditional control over generation. Additionally, in real scenario and online applications, cost considerations, scalability, domain knowledge learning and more precise control are required, presenting more challenge for CTG. This paper introduces a novel and scalable frame…

Whole-body Motion Control of an Omnidirectional Wheel-Legged Mobile Manipulator via Contact-Aware Dynamic Optimization
Zong Chen, Shaoyang Li, Ben Liu, Min Li, Zhouping Yin, Yiqun Li
https://arxiv.org/abs/2509.14010

Whole-body Motion Control of an Omnidirectional Wheel-Legged Mobile Manipulator via Contact-Aware Dynamic Optimization
Wheel-legged robots with integrated manipulators hold great promise for mobile manipulation in logistics, industrial automation, and human-robot collaboration. However, unified control of such systems remains challenging due to the redundancy in degrees of freedom, complex wheel-ground contact dynamics, and the need for seamless coordination between locomotion and manipulation. In this work, we present the design and whole-body motion control of an omnidirectional wheel-legged quadrupedal robot…

The EU (still) wants to scan
your private messages and photos
it’s not too late to act:
Reach out to your Representatives.
#chatcontrol #privacy #CSAM

In 1999, 307 people were killed in Moscow apartment bombings that propelled putin into control of russia.
Perhaps we should be glad that as potus moved toward control of the U.S., fewer people were immediately killed?
USAID cuts alone have already lead to tens of thousands of preventable deaths.
Gosh, this post got dark.

Active Inference Framework for Closed-Loop Sensing, Communication, and Control in UAV Systems
Guangjin Pan, Liping Bai, Zhuojun Tian, Hui Chen, Mehdi Bennis, Henk Wymeersch
https://arxiv.org/abs/2509.14201

Active Inference Framework for Closed-Loop Sensing, Communication, and Control in UAV Systems
Integrated sensing and communication (ISAC) is a core technology for 6G, and its application to closed-loop sensing, communication, and control (SCC) enables various services. Existing SCC solutions often treat sensing and control separately, leading to suboptimal performance and resource usage. In this work, we introduce the active inference framework (AIF) into SCC-enabled unmanned aerial vehicle (UAV) systems for joint state estimation, control, and sensing resource allocation. By formulatin…

🇺🇦 #NowPlaying on KEXP's #MorningShow
Yeah Yeah Yeahs:
🎵 Y Control
#YeahYeahYeahs
https://pentafonica.bandcamp.com/track/yeah-yeah-yeahs-y-control
https://open.spotify.com/track/5tryzDT3iMMcONq3YHWgC9

Complete Decentralization of Linear Quadratic Gaussian Control for the Discrete Wave Equation
Addie McCurdy, Emily Jensen
https://arxiv.org/abs/2509.13446 https://

Complete Decentralization of Linear Quadratic Gaussian Control for the Discrete Wave Equation
The linear quadratic Gaussian (LQG) control problem for the linear wave equation on the unit circle with fully distributed actuation and partial state measurements is considered. An analytical solution to a spatial discretization of the problem is obtained. The main result of this work illustrates that for specific parameter values, the optimal LQG policy is completely decentralized, meaning only a measurement at spatial location $i$ is needed to compute an optimal control signal to actuate at …

The Quantum Control Hierarchy: When Physics-Informed Design Meets Machine Learning
Atta ur Rahman, M. Y. Abd-Rabbou, Cong-feng Qiao
https://arxiv.org/abs/2509.12832 https://

The Quantum Control Hierarchy: When Physics-Informed Design Meets Machine Learning
We address a wide spectrum of quantum control strategies, including various open-loop protocols and advanced adaptive methods. These methodologies apply to few-qubit scenarios and naturally scale to larger N-qubit systems. We benchmark them across fundamental quantum tasks: entanglement preservation/generation, and directed quantum transport in a disordered quantum walk. All simulations are performed in a challenging environment featuring non-Markov colored noise, imperfections, and the Markov …

See, Think, Act: Teaching Multimodal Agents to Effectively Interact with GUI by Identifying Toggles
Zongru Wu, Rui Mao, Zhiyuan Tian, Pengzhou Cheng, Tianjie Ju, Zheng Wu, Lingzhong Dong, Haiyue Sheng, Zhuosheng Zhang, Gongshen Liu
https://arxiv.org/abs/2509.13615

See, Think, Act: Teaching Multimodal Agents to Effectively Interact with GUI by Identifying Toggles
The advent of multimodal agents facilitates effective interaction within graphical user interface (GUI), especially in ubiquitous GUI control. However, their inability to reliably execute toggle control instructions remains a key bottleneck. To investigate this, we construct a state control benchmark with binary toggle instructions from public datasets. Evaluations of existing agents demonstrate their unreliability, particularly when the current toggle state already matches the desired state. T…

Digital Sovereignty Control Framework for Military AI-based Cyber Security
Clara Maathuis, Kasper Cools
https://arxiv.org/abs/2509.13072 https://arxiv.org/…

Digital Sovereignty Control Framework for Military AI-based Cyber Security
In today's evolving threat landscape, ensuring digital sovereignty has become mandatory for military organizations, especially given their increased development and investment in AI-driven cyber security solutions. To this end, a multi-angled framework is proposed in this article in order to define and assess digital sovereign control of data and AI-based models for military cyber security. This framework focuses on aspects such as context, autonomy, stakeholder involvement, and mitigation of r…

Automating Code Generation for Semiconductor Equipment Control from Developer Utterances with LLMs
Youngkyoung Kim, Sanghyeok Park, Misoo Kim, Gangho Yoon, Eunseok Lee, Simon S. Woo
https://arxiv.org/abs/2509.13055

Automating Code Generation for Semiconductor Equipment Control from Developer Utterances with LLMs
Semiconductors form the backbone of modern electronics, with their manufacturing and testing relying on highly specialized equipment and domain-specific programming languages. Equipment languages such as the Algorithmic Pattern Generator (ALPG) are critical for precise hardware control but are challenging to program due to their low-level syntax and steep learning curve. While large language models (LLMs) have shown promise in generating high-level code from natural language, their effectivenes…

I keep saying the same thing over and over with my kids: you don't make decisions with your voice, you make them with your body.
"I want to go to the park."
"Ok, put your shoes on."
"I want to go on my play date."
"Put on a jacket and get in the bike."
"I don't want to be late to school."
"I don't control time, if you don't want to be late you have to brush your teeth."
There's a fundamental truth underlying this concept though, one that I hadn't really thought about. On some level, I feel as though, any choice you can't make with your body isn't a real choice. If you're begging someone to do something for you, it's ultimately not something you control.
As I'm compelled, by threat of violence against my family, to pay for war against my comrades and to kill people I don't even know, I think about that. How far is our concept of freedom from the police state we are taught to imagine as the global beacon of liberty. My participation in the violence had always been compulsory.
Perhaps we could do better than just #NoKings.
#USPol

you can't control the waves, but you can learn how to surf 🌊

Explainable AI-Enhanced Supervisory Control for High-Precision Spacecraft Formation
Reza Pirayeshshirazinezhad
https://arxiv.org/abs/2509.13331 https://arx…

Explainable AI-Enhanced Supervisory Control for High-Precision Spacecraft Formation
We use artificial intelligence (AI) and supervisory adaptive control systems to plan and optimize the mission of precise spacecraft formation. Machine learning and robust control enhance the efficiency of spacecraft precision formation of the Virtual Telescope for X-ray Observation (VTXO) space mission. VTXO is a precise formation of two separate spacecraft making a virtual telescope with a one-kilometer focal length. One spacecraft carries the lens and the other spacecraft holds the camera to …

Electric-Field Control of Terahertz Response via Spin-Corner-Layer Coupling in Altermagnetic Bilayers
Jianhua Wang, Yilin Han, Shifeng Qian, Zhenxiang Cheng, Wenhong Wang, Zhi-Ming Yu, Xiaotian Wang
https://arxiv.org/abs/2509.13643

Electric-Field Control of Terahertz Response via Spin-Corner-Layer Coupling in Altermagnetic Bilayers
Electric field control of electron charge and spin degrees of freedom is fundamental to modern semiconductor and spintronic devices. Yet controlling electromagnetic waves with an electric field, particularly in the terahertz (THz) band, remains a challenge. Here, we propose a spin-corner-layer coupling (SCLC) mechanism in second-order topological altermagnetic bilayers. By using an electric field to influence electrons between different layers, the SCLC mechanism enables simultaneous control ov…

Expressive Power of One-Shot Control Operators and Coroutines
Kentaro Kobayashi, Yukiyoshi Kameyama
https://arxiv.org/abs/2509.11901 https://arxiv.org/pdf/…

Expressive Power of One-Shot Control Operators and Coroutines
Control operators, such as exceptions and effect handlers, provide a means of representing computational effects in programs abstractly and modularly. While most theoretical studies have focused on multi-shot control operators, one-shot control operators -- which restrict the use of captured continuations to at most once -- are gaining attention for their balance between expressiveness and efficiency. This study aims to fill the gap. We present a mathematically rigorous comparison of the expres…

Quasi-static shape control of soft, morphing structures
Eszter Feh\'er, Andr\'as \'Arp\'ad Sipos, P\'eter V\'arkonyi
https://arxiv.org/abs/2509.12916 htt…

Quasi-static shape control of soft, morphing structures
Inspired by biological systems, we introduce a general framework for quasi-static shape control of human-scale structures under slowly varying external actions or requirements. In this setting, shape control aims to traverse the stable sub-manifolds of the equilibrium set to meet some predefined requirements or optimization criteria. As finite deformations are allowed, the equilibrium set may have a non-trivial topology. This paper explores the implications of large shape changes and high compl…

Excellent news. Greatly reduces the risk of displacement while still upzoning the west side.
#sfpol

Most rent-controlled buildings to be exempted from S.F. upzoning plan
Mayor Lurie makes a deal with Myrna Melgar, D7 supe who criticized lack of tenant protections in zoning plan.

https://www.theguardian.com/world/2025/aug/14/russian-hackers-control-norwegian-dam-norway
Russian hackers seized control of Norwegian dam, spy chief says

Series A, Episode 08 - Duel
BLAKE: Vila, try and stay alert.
VILA: Of course I will, how can you doubt me?
BLAKE: It isn't easy, but somehow I manage it. Come on. Put us down. [Blake, Jenna and Gan teleport to the planet's surface and look around]
https://blake.torpidity.net/m/108/59…

Differentially private federated learning for localized control of infectious disease dynamics
Raouf Kerkouche, Henrik Zunker, Mario Fritz, Martin J. K\"uhn
https://arxiv.org/abs/2509.14024

Differentially private federated learning for localized control of infectious disease dynamics
In times of epidemics, swift reaction is necessary to mitigate epidemic spreading. For this reaction, localized approaches have several advantages, limiting necessary resources and reducing the impact of interventions on a larger scale. However, training a separate machine learning (ML) model on a local scale is often not feasible due to limited available data. Centralizing the data is also challenging because of its high sensitivity and privacy constraints. In this study, we consider a localiz…

The vote on Chat Control has been postponed, but the “fight isn’t over” yet – here's what we know
https://ground.news/article/the-vote-on-chat-control-has-been-postponed-but-the-fight-isnt-over-yet-heres-what-w…

The vote on Chat Control has been postponed, but the “fight isn’t over” yet – here's what we know
The move comes as Germany officially joined the opposition, making it impossible again to reach the needed majority. Yet, the EU is still working on the proposal.

Bridging Control Variates and Regression Adjustment in A/B Testing: From Design-Based to Model-Based Frameworks
Yu Zhang, Bokui Wan, Yongli Qin
https://arxiv.org/abs/2509.13944 …

Bridging Control Variates and Regression Adjustment in A/B Testing: From Design-Based to Model-Based Frameworks
A B testing serves as the gold standard for large scale, data driven decision making in online businesses. To mitigate metric variability and enhance testing sensitivity, control variates and regression adjustment have emerged as prominent variance reduction techniques, leveraging pre experiment data to improve estimator performance. Over the past decade, these methods have spawned numerous derivatives, yet their theoretical connections and comparative properties remain underexplored. In this p…

From ⁨⁨⁨⁨⁨#AnnafromUkraine⁩⁩⁩⁩⁩ @AnnafromUkraine@youtube.com
🧵 👇
TOTAL CONTROL IN RUSSIA: NO MORE THAN 5 BANK CARDS Vlog 1199: War in #Ukraine
Russian authorities are preparing to implement a system that will allow them to control data on all citizens’

Trump administration in damage-control mode after Hyundai immigration raid sparks investment concerns (Dylan Butts/CNBC)
https://www.cnbc.com/2025/09/16/trump-damage-control-following-hyundai-ice-raids-south-korea-investment-immigrantion-workers.html
http://www.memeorandum.com/250916/p43#a250916p43

Sad to see Trump Tariffs kill off a US-based small business that offers a unique product that works perfectly but will no longer be available because it’s now too costly to produce: the Starling Home hub that magically made your Google Nest devices play friendly with Apple Home and HomeKit. Will remain supported but no longer available for purchase because of tariffs. https://…

Starling Hub | Nest HomeKit Bridge | Complete Smart Home Control
Connect Nest to Apple HomeKit and AirPlay. Perfectly integrate Thermostat, Protect, Cameras, Speakers, Secure and Nest x Yale Lock with Home, iOS, Siri and other smart home devices and HomeKit apps.

A Task Equalization Allocation Algorithm Incorporating Blocking Estimation and Resource Similarity Analysis for Vehicle Control Real-Time Systems
Qianlong Duan, Bide Hao, Fan Zhou, Chen Fei, Shichun Yang
https://arxiv.org/abs/2509.14086

A Task Equalization Allocation Algorithm Incorporating Blocking Estimation and Resource Similarity Analysis for Vehicle Control Real-Time Systems
In multi-core real-time vehicle control systems, synchronization blocking and resource contention pose critical challenges due to increasing task parallelism and shared resource access. These issues significantly degrade system schedulability and real-time performance, as traditional task allocation algorithms often overlook blocking impacts, leading to high scheduling failure rates under heavy loads. To address this, we propose the BR-WFD algorithm, which integrates blocking time estimation an…

That an employer should have control like this over a device for personal use is utterly inexcusable. The idea that they could even •contemplate• this is inexcusable.
(Yeah, I’m sure there’s more context than this one post provides. Fine. Please see excuses I will not accept threaded below.)
1/ https://oldbytes.space/@feoh/115215401541166467

🍄 Fungi found on dying buckthorn could control the highly invasive species
#fungus

Fungi found on dying buckthorn could control the highly invasive species
University of Minnesota researchers are studying the use of fungi as a tool to control invasive buckthorn, a problematic species that crowds out native plants and persistently degrades forests in the Midwest and Northeast.

Sen. Bernie Sanders and Rep. Rashida Tlaib on Monday introduced the
Tax Excessive CEO Pay Act
with the aim of raising taxes on companies that pay their executives more than 50 times their workers’ wages.
The legislation would impose penalties starting at 0.5 percentage points for companies with CEO-to-worker pay ratios between 50-to-1 and 100-to-1.
Firms where executives make more than 500 times their workers’ pay would be forced to pay the highest rate.

'Corporate Greed Is Out of Control': Tlaib-Sanders Bill Would Tax Companies for Excessive CEO Pay | Common Dreams
As Elon Musk nears trillionaire status, Bernie Sanders and Rashida Tlaib push for a bill to rein in excessive CEO pay. With CEOs making 600 times more than workers, it's time for corporations to pay their fair share.

»Microsoft wants you to talk to your PC and let AI control it:
Microsoft is rewriting Windows to turn computers into AI PCs that you talk to.«
How does that happen when everyone in the office is babbling with the PC and how should people then work eficiently concentrated? M$ powers do not serve us, but listen clearly and openly to what it is already doing now − switching now to Linux desktop!
👉

Microsoft wants you to talk to your PC and let AI control it
Microsoft is bringing new AI features to all Windows 11 PCs. Copilot Voice and Copilot Vision are now rolling out to turn computers into AI PCs.

Very quick, very dirty testing of voice control with visibly unlabeled fields:
https://cdpn.io/aardrian/debug/MYadEmB
The pen itself:
https://

Dynamic and Continuous Control of Second-Harmonic Chirality through Lithium Niobate Nonlocal Metasurface
Yiwen Liu, Chao Meng, Sergey I. Bozhevolnyi, Fei Ding
https://arxiv.org/abs/2509.12745

Dynamic and Continuous Control of Second-Harmonic Chirality through Lithium Niobate Nonlocal Metasurface
Nonlinear chiral light sources are crucial for emerging applications in chiroptics, including ultrafast spin dynamics and quantum state manipulation. However, achieving precise and dynamic control over nonlinear optical chirality with natural materials and metasurfaces, particularly those based on non-centrosymmetric materials such as lithium niobate (LN), is hindered by the complex tensorial nature of the second-order nonlinear susceptibility. Here, we demonstrate a nonlinear nonlocal metasurf…

The IETF’s “AI-CONTROL Workshop Report”: https://www.ietf.org/archive/id/draft-iab-ai-control-report-02.html
Where by “AI-CONTROL” they mean “dealing with LLM-building scrapers”.

I made some progress on the Beat Bike!
The magnet mounted on the wheel passes a reed switch which is sensed by the control box (with a Raspberry Pi Pico) and then triggers the drum machine to step through the programmed sequence.
Still a lot of work to do, mostly mounting everything onto the bike, and some more code to write, but the proof of concept is all good.
#bikeTooter

Coarse non-wandering sets and their filtration
Tomoo Yokoyama
https://arxiv.org/abs/2509.13697 https://arxiv.org/pdf/2509.13697

Coarse non-wandering sets and their filtration
This paper investigates recurrence properties of dynamical systems under the restriction that control is available only through inputs and outputs. We introduce the concept of ``coarse non-wandering'', a generalization of the classical non-wandering concept, and construct an associated filtration based on levels that quantify the closeness of recurrence behavior under input/output-only control. The forward direction of this filtration describes how the level of control relates to recurrence pro…

from my link log —
What I've learned from jj.
https://zerowidth.com/2025/what-ive-learned-from-jj/
saved 2025-05-02 htt…

YouTube is like heroin because it pulls you in, hooks you, and slowly drains you. It is designed to be addictive and destructive, and that is exactly why it feels so hard to step away from it.
And yes, I know the excuse, maybe your favorite dealer has not set up shop on PeerTube. But that does not change the truth of the comparison.
PeerTube is like weed, it grows more naturally, it is gentler on you, and it still gives you a high without tearing apart your health and your lif…

FusionMAE: large-scale pretrained model to optimize and simplify diagnostic and control of fusion plasma
Zongyu Yang, Zhenghao Yang, Wenjing Tian, Jiyuan Li, Xiang Sun, Guohui Zheng, Songfen Liu, Niannian Wu, Rongpeng Li, Zhaohe Xu, Bo Li, Zhongbing Shi, Zhe Gao, Wei Chen, Xiaoquan Ji, Min Xu, Wulyu Zhong
https://arxiv.org/abs/2509.12945…

FusionMAE: large-scale pretrained model to optimize and simplify diagnostic and control of fusion plasma
In magnetically confined fusion device, the complex, multiscale, and nonlinear dynamics of plasmas necessitate the integration of extensive diagnostic systems to effectively monitor and control plasma behaviour. The complexity and uncertainty arising from these extensive systems and their tangled interrelations has long posed a significant obstacle to the acceleration of fusion energy development. In this work, a large-scale model, fusion masked auto-encoder (FusionMAE) is pre-trained to compre…

Business consolidation of the intermediaries that control book distribution, especially e-books, could be a larger threat to books than recent bans in the US (Maria Bustillos/Columbia Journalism Review)
https://www.cjr.org/analysis/the-bigger-threat-to-b…

There's a bigger threat to books than bans.
Access to e-books relies entirely on private distributors that have the power to shut them off at any moment.

Do We Need Subsidiarity in Software?
Louisa Conwill, Megan Levis Scheirer, Walter Scheirer
https://arxiv.org/abs/2509.13466 https://arxiv.org/pdf/2509.1346…

Do We Need Subsidiarity in Software?
Subsidiarity is a principle of social organization that promotes human dignity and resists over-centralization by balancing personal autonomy with intervention from higher authorities only when necessary. Thus it is a relevant, but not previously explored, critical lens for discerning the tradeoffs between complete user control of software and surrendering control to "big tech" for convenience, as is common in surveillance capitalism. Our study explores data privacy through the lens of subsidia…

Tahoe is a whole thing today... I've had icons disappearing from my Safari Start Page, invisible App windows in Mission Control, A disappearing mouse cursor in Photoshop.
And... what is it with the window corner radii?
I mean come on!
#Tahoe #Apple #MacOS26

The instant collaboration of corporate media with a fascist dictator shows that corporate media are the enemy of the people.
And now Trump’s billionaire oligarchs are ensuring that the media is fully consolidated into their hands. Murdoch, Ellison, Zuckerberg, Disney, and Musk own most of the traditional and social media. Total control is at hand if we don’t stop it.

Model Predictive Control with Reference Learning for Soft Robotic Intracranial Pressure Waveform Modulation
Fabian Fl\"urenbrock, Yanick B\"uchel, Johannes K\"ohler, Marianne Schmid Daners, Melanie N. Zeilinger
https://arxiv.org/abs/2509.13109

Model Predictive Control with Reference Learning for Soft Robotic Intracranial Pressure Waveform Modulation
This paper introduces a learning-based control framework for a soft robotic actuator system designed to modulate intracranial pressure (ICP) waveforms, which is essential for studying cerebrospinal fluid dynamics and pathological processes underlying neurological disorders. A two-layer framework is proposed to safely achieve a desired ICP waveform modulation. First, a model predictive controller (MPC) with a disturbance observer is used for offset-free tracking of the system's motor position re…

🇺🇦 Auf radioeins läuft...
Joy Division:
🎵 She's Lost Control
#NowPlaying #JoyDivision
https://tomviking.bandcamp.com/album/joy-division-shes-lost-control-remix
https://open.spotify.com/track/5YiSSBURCIz0qlOoL3la8w

Mitigating the phase-mismatch effect in non-resonant four-wave mixing enabled by optimal control
Ning Jia, Hamid R. Hamedi, Jing Qian
https://arxiv.org/abs/2509.12827 https://…

Mitigating the phase-mismatch effect in non-resonant four-wave mixing enabled by optimal control
Phase-mismatch in nonlinear optical processes can severely limit the propagation and conversion efficiency of light fields. Here, we present an efficient optimal-control strategy to mitigate the detrimental effects of phase-mismatch in an electromagnetically induced transparency medium via non-resonant four-wave mixing (FWM). By applying a set of fixed, linearly modulated coupling fields that induce a dark eigenmode, we globally optimize a single coupling detuning to minimize the spontaneous em…

Meet Dr. Lincoln, the Internet’s Favorite OB-GYN - Ms. Magazine
https://msmagazine.com/2025/10/18/dr-jennifer-lincoln-health-abortion-misinformation-birth-control/

Ellipsoidal partitions for improved multi-stage robust model predictive control
Moritz Heinlein, Florian Messerer, Moritz Diehl, Sergio Lucia
https://arxiv.org/abs/2509.12792 ht…

Ellipsoidal partitions for improved multi-stage robust model predictive control
Ellipsoidal tube-based model predictive control methods effectively account for the propagation of the reachable set, typically employing linear feedback policies. In contrast, scenario-based approaches offer more flexibility in the feedback structure by considering different control actions for different branches of a scenario tree. However, they face challenges in ensuring rigorous guarantees. This work aims to integrate the strengths of both methodologies by enhancing ellipsoidal tube-based …

Event-triggered robust control of linear systems: Sliding mode cone method
Bangxin Jiang, Ying Liu, Yang Liu, Jianquan Lu, Weihua Gui
https://arxiv.org/abs/2509.13102 https://…

Event-triggered robust control of linear systems: Sliding mode cone method
In this paper, we investigate the global robust stabilization of linear time-invariant systems by using event-triggered sliding mode control (SMC). Different from the practical sliding mode band, which is commonly used in previous studies on event-triggered SMC, a new concept of ideal sliding mode cone is proposed in this paper. Specifically, we design a hybrid event-triggering mechanism that takes into account both the size and direction shift of the error state. The proposed event-triggered S…

Ousted director of the Centers for Disease Control and Prevention expected to push back against RFK Jr.'s version of her firing (Sophie Gardner/Politico)
https://www.politico.com/news/2025/09/16/ousted-director-of-the-centers-for-disease-control-and-prevention-expected-to-push-back-against-rfk-jr-s-version-of-her-firing-00566625
http://www.memeorandum.com/250916/p103#a250916p103

Nominal Evaluation Of Automatic Multi-Sections Control Potential In Comparison To A Simpler One- Or Two-Sections Alternative With Predictive Spray Switching
Mogens Plessen
https://arxiv.org/abs/2508.11573

Nominal Evaluation Of Automatic Multi-Sections Control Potential In Comparison To A Simpler One- Or Two-Sections Alternative With Predictive Spray Switching
Automatic Section Control (ASC) is a long-standing trend for spraying in agriculture. It promises to minimise spray overlap areas. The core idea is to (i) switch off spray nozzles on areas that have already been sprayed, and (ii) to dynamically adjust nozzle flow rates along the boom bar that holds the spray nozzles when velocities of boom sections vary during turn maneuvers. ASC is not possible without sensors, in particular for accurate positioning data. Spraying and the movement of modern wi…

MAPS: A Mode-Aware Probabilistic Scheduling Framework for LPV-Based Adaptive Control
Taehun Kim, Guntae Kim, Cheolmin Jeong, Chang Mook Kang
https://arxiv.org/abs/2509.12695 htt…

MAPS: A Mode-Aware Probabilistic Scheduling Framework for LPV-Based Adaptive Control
This paper proposes Mode-Aware Probabilistic Scheduling (MAPS), a novel adaptive control framework tailored for DC motor systems experiencing varying friction. MAPS uniquely integrates an Interacting Multiple Model (IMM) estimator with a Linear Parameter-Varying (LPV) based control strategy, leveraging real-time mode probability estimates to perform probabilistic gain scheduling. A key innovation of MAPS lies in directly using the updated mode probabilities as the interpolation weights for onli…

Nikki Haley’s campaign manager warned influential donors Tuesday that the GOP would lose control of the U.S. House of Representatives
if Donald Trump is the party’s presidential nominee,
leaning into concerns about down-ballot races
as some anti-Trump Republicans view the fight over Congress as a better investment than the presidential race.

Haley camp seeks to convince top donors that Trump would cost GOP the House
The move marked the latest effort by a campaign many Republicans have written off to hit back against the overwhelming GOP favorite.

Series A, Episode 08 - Duel
VILA: Of course I will, how can you doubt me?
BLAKE: It isn't easy, but somehow I manage it. Come on. Put us down. [Blake, Jenna and Gan teleport to the planet's surface and look around]
https://blake.torpidity.net/m/108/60 B7B3

🇺🇦 #NowPlaying on KEXP's #MechanicalBreakdown
Delectro:
🎵 Mass Control (Bloody Mary Remix)
#Delectro
https://dame-music.bandcamp.com/album/mass-control-ep-incl-bloody-mary-remix
https://open.spotify.com/track/0LNSrsdvo0iRwGgMpenJD3

Wingtech's Shanghai-listed stock plunged its daily limit of 10% after the Dutch government moved to exert control over Nexperia, which it acquired in 2018 (Bloomberg)
https://www.bloomberg.com/news/articles/2025-10-13/chi…

China’s Wingtech Dives 10% After Dutch Take Control of Chip Unit
Wingtech Technology Co. plunged its daily limit of 10% after the Dutch government moved to exert control over its European unit Nexperia, an unusual move that risks inflaming tensions between China and Europe.

ZapGPT: Free-form Language Prompting for Simulated Cellular Control
Nam H. Le, Patrick Erickson, Yanbo Zhang, Michael Levin, Josh Bongard
https://arxiv.org/abs/2509.10660 https:…

ZapGPT: Free-form Language Prompting for Simulated Cellular Control
Human language is one of the most expressive tools for conveying intent, yet most artificial or biological systems lack mechanisms to interpret or respond meaningfully to it. Bridging this gap could enable more natural forms of control over complex, decentralized systems. In AI and artificial life, recent work explores how language can specify high-level goals, but most systems still depend on engineered rewards, task-specific supervision, or rigid command sets, limiting generalization to novel…

Fight Chat Control – Protect Digital Privacy in the EU: The EU (still) wants to scan your private messages and photos.
The "Chat Control" proposal would mandate scanning of all private digital communications, including encrypted messages and photos. This threatens fundamental privacy rights and digital security for all EU citizens.
🇪🇺 https://

Differentiable by Design Nonlinear Optimization and its application to Model Predictive Control
Riccardo Zuliani, Efe Balta, John Lygeros
https://arxiv.org/abs/2509.12692 https:…

Differentiable by Design Nonlinear Optimization and its application to Model Predictive Control
Nonlinear optimization-based policies have seen large success in recent years, primarily due to the incredible capabilities of nonlinear Model Predictive Control (nMPC). These policies require solving computationally demanding nonlinear optimization programs (NLP) online at each time-step. The solution map of these NLPs, viewed as a function of the measured state of the system and design parameters, may not be differentiable, which poses significant challenges if the policy is designed with a p…

A computational method for type I error rate control in power-maximizing response-adaptive randomization
Stef Baas, Lukas Pin, Sof\'ia S. Villar, William F. Rosenberger
https://arxiv.org/abs/2509.12448

A computational method for type I error rate control in power-maximizing response-adaptive randomization
Maximizing statistical power in experimental design often involves imbalanced treatment allocation, but several challenges hinder its practical adoption: (1) the misconception that equal allocation always maximizes power, (2) when only targeting maximum power, more than half the participants may be expected to obtain inferior treatment, and (3) response-adaptive randomization (RAR) targeting maximum statistical power may inflate type I error rates substantially. Recent work identified issue (3)…

Four old posts updated this week:
For Google’s AI Edge Gallery:
https://adrianroselli.com/2020/03/i-dont-care-what-google-or-apple-or-whomever-did.html#:~:text=Go…

I Don’t Care What Google or Apple or Whoever Did
Please do not use this post as an excuse to beat up the devs at Apple or Google. If you are doing that, you have missed the point of this post and you are being unnecessarily mean to individuals who may have no control over broader organizational decisions. Do not…

Anomaly Detection in Industrial Control Systems Based on Cross-Domain Representation Learning
Dongyang Zhan, Wenqi Zhang, Lin Ye, Xiangzhan Yu, Hongli Zhang, Zheng He
https://arxiv.org/abs/2509.11786

Anomaly Detection in Industrial Control Systems Based on Cross-Domain Representation Learning
Industrial control systems (ICSs) are widely used in industry, and their security and stability are very important. Once the ICS is attacked, it may cause serious damage. Therefore, it is very important to detect anomalies in ICSs. ICS can monitor and manage physical devices remotely using communication networks. The existing anomaly detection approaches mainly focus on analyzing the security of network traffic or sensor data. However, the behaviors of different domains (e.g., network traffic a…

Read all about Chatcontrol and why we should resist it. This sentence is extremely scary.... "Specifically, this AI will have to be built by WhatsApp/Meta so they can monitor us on behalf of the EU" 😱
https://berthub.eu/articles/posts/chatcontrol-in-brief/

Chatcontrol 2025 edition in Brief - Bert Hubert's writings
In short, led by Denmark, many EU member states are arguing for forcing WhatsApp/Signal/etc to inspect all our photos and links, using AI. If the AI is in any “doubt” if this might be child pornography, your photo, location, phone number & other details get reported to Europol and a local police force. What happens next is not specified, but your holiday in Cyprus might end up with you having to explain your photos over at the local police station.

Constraint-Consistent Control of Task-Based and Kinematic RCM Constraints for Surgical Robots
Yu Li, Hamid Sadeghian, Zewen Yang, Valentin Le Mesle, Sami Haddadin
https://arxiv.org/abs/2509.14075

Constraint-Consistent Control of Task-Based and Kinematic RCM Constraints for Surgical Robots
Robotic-assisted minimally invasive surgery (RAMIS) requires precise enforcement of the remote center of motion (RCM) constraint to ensure safe tool manipulation through a trocar. Achieving this constraint under dynamic and interactive conditions remains challenging, as existing control methods either lack robustness at the torque level or do not guarantee consistent RCM constraint satisfaction. This paper proposes a constraint-consistent torque controller that treats the RCM as a rheonomic hol…

Quantum Control of Thermal Emission from Photonic Crystals with Two-Level Atoms
Chih-Wei Wang, Jhih-Sheng Wu
https://arxiv.org/abs/2508.11191 https://arxiv…

Quantum Control of Thermal Emission from Photonic Crystals with Two-Level Atoms
Thermal light engineering is a field of considerable interest and potential. We study quantum light-matter interactions in a one-dimensional photonic crystal with two-level atoms as the active medium, replacing classical oscillators in traditional blackbody models. In a thermal bath with pumping, these atoms modulate thermal emission via interactions with photonic modes. The model with quantum two-level systems enables the processes of spontaneous emission, stimulated absorption, and stimulated…

Momentum-Based Access and Speed Control for Improved Safety in Heterogeneous Road Networks
Felix Wieberneit, Emanuele Crisostomi, Wynita Griggs, Robert Shorten
https://arxiv.org/abs/2509.12944

Momentum-Based Access and Speed Control for Improved Safety in Heterogeneous Road Networks
The increasing variety of means of transportation, including light vehicles like e-scooters and e-bikes, together with the increasing weight of conventional vehicles due to electrification and consumer preferences for SUVs, are raising serious concerns regarding the safety of road networks. In this paper we design a two-level control algorithm to improve the safety of heterogeneous networks: first, an access control strategy decreases the heterogeneity of the network depending on actual traffic…

CrazyMARL: Decentralized Direct Motor Control Policies for Cooperative Aerial Transport of Cable-Suspended Payloads
Viktor Lorentz, Khaled Wahba, Sayantan Auddy, Marc Toussaint, Wolfgang H\"onig
https://arxiv.org/abs/2509.14126

CrazyMARL: Decentralized Direct Motor Control Policies for Cooperative Aerial Transport of Cable-Suspended Payloads
Collaborative transportation of cable-suspended payloads by teams of Unmanned Aerial Vehicles (UAVs) has the potential to enhance payload capacity, adapt to different payload shapes, and provide built-in compliance, making it attractive for applications ranging from disaster relief to precision logistics. However, multi-UAV coordination under disturbances, nonlinear payload dynamics, and slack--taut cable modes remains a challenging control problem. To our knowledge, no prior work has addressed…

A novel approach of day-ahead cooling load prediction and optimal control for ice-based thermal energy storage (TES) system in commercial buildings
Xuyuan Kang, Xiao Wang, Jingjing An, Da Yan
https://arxiv.org/abs/2509.13371

A novel approach of day-ahead cooling load prediction and optimal control for ice-based thermal energy storage (TES) system in commercial buildings
Thermal energy storage (TES) is an effective method for load shifting and demand response in buildings. Optimal TES control and management are essential to improve the performance of the cooling system. Most existing TES systems operate on a fixed schedule, which cannot take full advantage of its load shifting capability, and requires extensive investigation and optimization. This study proposed a novel integrated load prediction and optimized control approach for ice-based TES in commercial bu…

"Health and Human Services Secretary Robert F. Kennedy Jr. is planning to investigate climate and weather control, and is expected to create a task force that will recommend possible federal action, according to a former agency official, an internal agency memo obtained by KFF Health News, and a consultant who helped with the memo."
Leaked memo shows bizarre weather conspiracy theory being taken seriously by government - Raw Story
https://www.rawstory.com/weather-2674206192/

Contrastive CUR: Interpretable Joint Feature and Sample Selection for Case-Control Studies
Eric Zhang, Michael Love, Didong Li
https://arxiv.org/abs/2508.11557 https://

Contrastive CUR: Interpretable Joint Feature and Sample Selection for Case-Control Studies
Dimension reduction is an essential tool for analyzing high dimensional data. Most existing methods, including principal component analysis (PCA), as well as their extensions, provide principal components that are often linear combinations of features, which are often challenging to interpret. CUR decomposition, another matrix decomposition technique, is a more interpretable and efficient alternative, offers simultaneous feature and sample selection. Despite this, many biomedical studies involv…

Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
Rongzhi Zhang, Liqin Ye, Yuzhao Heng, Xiang Chen, Tong Yu, Lingkai Kong, Sudheer Chava, Chao Zhang
https://arxiv.org/abs/2510.12121

Precise Attribute Intensity Control in Large Language Models via Targeted Representation Editing
Precise attribute intensity control--generating Large Language Model (LLM) outputs with specific, user-defined attribute intensities--is crucial for AI systems adaptable to diverse user expectations. Current LLM alignment methods, however, typically provide only directional or open-ended guidance, failing to reliably achieve exact attribute intensities. We address this limitation with three key designs: (1) reformulating precise attribute intensity control as a target-reaching problem, rather t…

Directional Motional Control via Engineered Conical Intersections in Trapped Rydberg Ions
Abdessamad Belfakir, Yousra Bouasria, Herschel Rabitz, Ahmed Ratnani
https://arxiv.org/abs/2509.11350

Directional Motional Control via Engineered Conical Intersections in Trapped Rydberg Ions
We demonstrate coherent control of motional dynamics in trapped Rydberg ions engineered to exhibit a conical intersection between adiabatic potential-energy surfaces. Using quantum optimal control, an optimally shaped electric field drives the motional wave packet between prescribed spatial configurations on microsecond timescales. Localized nonadiabatic coupling breaks the symmetry of the dynamics and produces a directed trajectory: after only a few early passages through the conical intersect…

Prompt2Auto: From Motion Prompt to Automated Control via Geometry-Invariant One-Shot Gaussian Process Learning
Zewen Yang, Xiaobing Dai, Dongfa Zhang, Yu Li, Ziyang Meng, Bingkun Huang, Hamid Sadeghian, Sami Haddadin
https://arxiv.org/abs/2509.14040

Prompt2Auto: From Motion Prompt to Automated Control via Geometry-Invariant One-Shot Gaussian Process Learning
Learning from demonstration allows robots to acquire complex skills from human demonstrations, but conventional approaches often require large datasets and fail to generalize across coordinate transformations. In this paper, we propose Prompt2Auto, a geometry-invariant one-shot Gaussian process (GeoGP) learning framework that enables robots to perform human-guided automated control from a single motion prompt. A dataset-construction strategy based on coordinate transformations is introduced tha…

A Converse Control Lyapunov Theorem for Joint Safety and Stability
Thanin Quartz, Maxwell Fitzsimmons, Jun Liu
https://arxiv.org/abs/2509.12182 https://arx…

A Converse Control Lyapunov Theorem for Joint Safety and Stability
We show that the existence of a strictly compatible pair of control Lyapunov and control barrier functions is equivalent to the existence of a single smooth Lyapunov function that certifies both asymptotic stability and safety. This characterization complements existing literature on converse Lyapunov functions by establishing a partial differential equation (PDE) characterization with prescribed boundary conditions on the safe set, ensuring that the safe set is exactly certified by this Lyapun…

Shape control of simulated multi-segment continuum robots via Koopman operators with per-segment projection
Eron Ristich, Jiahe Wang, Lei Zhang, Sultan Haidar Ali, Wanxin Jin, Yi Ren, Jiefeng Sun
https://arxiv.org/abs/2509.11567

Shape control of simulated multi-segment continuum robots via Koopman operators with per-segment projection
Soft continuum robots can allow for biocompatible yet compliant motions, such as the ability of octopus arms to swim, crawl, and manipulate objects. However, current state-of-the-art continuum robots can only achieve real-time task-space control (i.e., tip control) but not whole-shape control, mainly due to the high computational cost from its infinite degrees of freedom. In this paper, we present a data-driven Koopman operator-based approach for the shape control of simulated multi-segment ten…

Safe Sliding Mode Control in Position for Double Integrator Systems
Marco A. Gomez, Christopher D. Cruz-Ancona
https://arxiv.org/abs/2509.14121 https://arx…

Safe Sliding Mode Control in Position for Double Integrator Systems
We address the problem of robust safety control design for double integrator systems. We show that, when the constraints are defined only on position states, it is possible to construct a safe sliding domain from the dynamic of a simple integrator that is already safe. On this domain, the closed-loop trajectories remain robust and safe against uncertainties and disturbances. Furthermore, we design a controller gain that guarantees convergence to the safe sliding domain while avoiding the given …

A Dual Quaternion Control Law for Formation Control of Multiple 3-D Rigid Bodies
Chunfeng Cui, Liqun Qi, Hao Chen, Xiangke Wang
https://arxiv.org/abs/2508.10519 https://

A Dual Quaternion Control Law for Formation Control of Multiple 3-D Rigid Bodies
This paper studies the integrated position and attitude control problem for multi-agent systems of 3D rigid bodies. While the state-of-the-art method in [Olfati-Saber and Murray, 2004] established the theoretical foundation for rigid-body formation control, it requires all agents to asymptotically converge to identical positions and attitudes, limiting its applicability in scenarios where distinct desired relative configurations must be maintained. In this paper, we develop a novel dual-quatern…

A Game-Theoretic Predictive Control Framework with Statistical Collision Avoidance Constraints for Autonomous Vehicle Overtaking
Sheng Yu, Boli Chen, Imad M. Jaimoukha, Simos A. Evangelou
https://arxiv.org/abs/2509.13545

A Game-Theoretic Predictive Control Framework with Statistical Collision Avoidance Constraints for Autonomous Vehicle Overtaking
This work develops a control framework for the autonomous overtaking of connected and automated vehicles (CAVs) in a mixed traffic environment, where the overtaken vehicle is an unconnected but interactive human-driven vehicle. The proposed method, termed the Game-Theoretic, PRedictive Overtaking (GT-PRO) strategy, successfully decouples the longitudinal and lateral vehicle dynamics of the CAV and comprehensively coordinates these decoupled dynamics via innovative longitudinal and lateral model…

Dissipativity-Based Data-Driven Decentralized Control of Interconnected Systems
Taiki Nakano, Ahmed Aboudonia, Jaap Eising, Andrea Martinelli, Florian D\"orfler, John Lygeros
https://arxiv.org/abs/2509.14047

Dissipativity-Based Data-Driven Decentralized Control of Interconnected Systems
We propose data-driven decentralized control algorithms for stabilizing interconnected systems. We first derive a data-driven condition to synthesize a local controller that ensures the dissipativity of the local subsystems. Then, we propose data-driven decentralized stability conditions for the global system based on the dissipativity of each local system. Since both conditions take the form of linear matrix inequalities and are based on dissipativity theory, this yields a unified pipeline, re…

Design and Control of a Perching Drone Inspired by the Prey-Capturing Mechanism of Venus Flytrap
Ye Li, Daming Liu, Yanhe Zhu, Junming Zhang, Yongsheng Luo, Ziqi Wang, Chenyu Liu, Jie Zhao
https://arxiv.org/abs/2509.13249

Design and Control of a Perching Drone Inspired by the Prey-Capturing Mechanism of Venus Flytrap
The endurance and energy efficiency of drones remain critical challenges in their design and operation. To extend mission duration, numerous studies explored perching mechanisms that enable drones to conserve energy by temporarily suspending flight. This paper presents a new perching drone that utilizes an active flexible perching mechanism inspired by the rapid predation mechanism of the Venus flytrap, achieving perching in less than 100 ms. The proposed system is designed for high-speed adapt…

Identification of Sub/Super-Synchronous Control Interaction Paths Using Dissipative Energy Flow
Kaustav Chatterjee, Sameer Nekkalapu, Sayak Mukherjee, Ramij Raja Hossain, Marcelo Elizondo
https://arxiv.org/abs/2508.11561

Identification of Sub/Super-Synchronous Control Interaction Paths Using Dissipative Energy Flow
Sub- and super-synchronous control interactions (SSCIs) are oscillations arising from adverse interactions between inverter-based resource (IBR) controls and the power network. SSCIs often involve multiple frequencies and propagate through complex, interconnected paths, making it difficult for model-based approaches to identify both the sources and the paths of oscillatory energy flow. This paper extends the Dissipative Energy Flow (DEF) method, originally developed for low-frequency electromec…

How Fly Neural Perception Mechanisms Enhance Visuomotor Control of Micro Robots
Renyuan Liu, Haoting Zhou, Chuankai Fang, Qinbing Fu
https://arxiv.org/abs/2509.13827 https://

How Fly Neural Perception Mechanisms Enhance Visuomotor Control of Micro Robots
Anyone who has tried to swat a fly has likely been frustrated by its remarkable agility.This ability stems from its visual neural perception system, particularly the collision-selective neurons within its small brain.For autonomous robots operating in complex and unfamiliar environments, achieving similar agility is highly desirable but often constrained by the trade-off between computational cost and performance.In this context, insect-inspired intelligence offers a parsimonious route to low-p…

Integrating Uncertainties for Koopman-Based Stabilization
Yicheng Lin, Bingxian Wu, Nan Bai, Zhiyong Sun, Yunxiao Ren, Chuanze Chen, Zhisheng Duan
https://arxiv.org/abs/2508.11533

Integrating Uncertainties for Koopman-Based Stabilization
Over the past decades, the Koopman operator has been widely applied in data-driven control, yet its theoretical foundations remain underexplored. This paper establishes a unified framework to address the robust stabilization problem in data-driven control via the Koopman operator, fully accounting for three uncertainties: projection error, estimation error, and process disturbance. It comprehensively investigates both direct and indirect data-driven control approaches, facilitating flexible met…

Prespecified-Performance Kinematic Tracking Control for Aerial Manipulation
Hauzi Cao, Jiahao Shen, Zhengzhen Li, Qinquan Ren, Shiyu Zhao
https://arxiv.org/abs/2509.10065 https:…

Prespecified-Performance Kinematic Tracking Control for Aerial Manipulation
This paper studies the kinematic tracking control problem for aerial manipulators. Existing kinematic tracking control methods, which typically employ proportional-derivative feedback or tracking-error-based feedback strategies, may fail to achieve tracking objectives within specified time constraints. To address this limitation, we propose a novel control framework comprising two key components: end-effector tracking control based on a user-defined preset trajectory and quadratic programming-b…

Behavior Foundation Model for Humanoid Robots
Weishuai Zeng, Shunlin Lu, Kangning Yin, Xiaojie Niu, Minyue Dai, Jingbo Wang, Jiangmiao Pang
https://arxiv.org/abs/2509.13780 http…

Behavior Foundation Model for Humanoid Robots
Whole-body control (WBC) of humanoid robots has witnessed remarkable progress in skill versatility, enabling a wide range of applications such as locomotion, teleoperation, and motion tracking. Despite these achievements, existing WBC frameworks remain largely task-specific, relying heavily on labor-intensive reward engineering and demonstrating limited generalization across tasks and skills. These limitations hinder their response to arbitrary control modes and restrict their deployment in com…

Large-Scale Self-Powered Vibration Control: Theory and Experiment
Connor Ligeikis, Heath Hofmann, Jeff Scruggs
https://arxiv.org/abs/2509.11346 https://arx…

Large-Scale Self-Powered Vibration Control: Theory and Experiment
A self-powered system is a control technology that powers itself by harvesting energy from exogenous disturbances. This article details the design and experimental validation of a prototype self-powered vibration control system, for larger-scale applications (i.e., power flows above 1W and forces on the order of 1kN.) The prototype consists of a linear ballscrew coupled with a permanent-magnet synchronous machine. A custom three-phase inverter is used to control power flow, and a custom half-br…

Dynamic Modeling, Analysis, and Validation of Dual-Port Grid-Forming Control for Hybrid AC/DC Systems
Irina Suboti\'c, Dominic Gro{\ss}, Alexander Winkens, Julian Jansen, Florian Klein-Helmkamp, Andreas Ulbig
https://arxiv.org/abs/2509.11318

Dynamic Modeling, Analysis, and Validation of Dual-Port Grid-Forming Control for Hybrid AC/DC Systems
This work investigates the transient and dynamical behavior of hybrid AC/DC systems using dual-port grid-forming (GFM) control. A generalized modeling framework for hybrid AC/DC networks is first introduced that accounts for converter, control, and network circuit dynamics and arbitrary network topologies. This modeling framework is applied to low-voltage networks to analyze the performance of dual-port grid-forming (GFM) control. The results demonstrate that active damping by dual-port GFM con…

Agile in the Face of Delay: Asynchronous End-to-End Learning for Real-World Aerial Navigation
Yude Li, Zhexuan Zhou, Huizhe Li, Youmin Gong, Jie Mei
https://arxiv.org/abs/2509.13816

Agile in the Face of Delay: Asynchronous End-to-End Learning for Real-World Aerial Navigation
Robust autonomous navigation for Autonomous Aerial Vehicles (AAVs) in complex environments is a critical capability. However, modern end-to-end navigation faces a key challenge: the high-frequency control loop needed for agile flight conflicts with low-frequency perception streams, which are limited by sensor update rates and significant computational cost. This mismatch forces conventional synchronous models into undesirably low control rates. To resolve this, we propose an asynchronous reinfo…

Crosslisted article(s) found for eess.SY. https://arxiv.org/list/eess.SY/new
[1/1]:
- Explainable AI-Enhanced Supervisory Control for High-Precision Spacecraft Formation
Reza Pirayeshshirazinezhad

Tensor Invariant Data-Assisted Control and Dynamic Decomposition of Multibody Systems
Mostafa Eslami, Maryam Babazadeh
https://arxiv.org/abs/2509.11688 https://

Tensor Invariant Data-Assisted Control and Dynamic Decomposition of Multibody Systems
The control of robotic systems in complex, shared collaborative workspaces presents significant challenges in achieving robust performance and safety when learning from experienced or simulated data is employed in the pipeline. A primary bottleneck is the reliance on coordinate-dependent models, which leads to profound data inefficiency by failing to generalize physical interactions across different frames of reference. This forces learning algorithms to rediscover fundamental physical principl…

Right-to-Override for Critical Urban Control Systems: A Deliberative Audit Method for Buildings, Power, and Transport
Rashid Mushkani
https://arxiv.org/abs/2509.13369 https://…

Right-to-Override for Critical Urban Control Systems: A Deliberative Audit Method for Buildings, Power, and Transport
Automation now steers building HVAC, distribution grids, and traffic signals, yet residents rarely have authority to pause or redirect these systems when they harm inclusivity, safety, or accessibility. We formalize a Right-to-Override (R2O) - defining override authorities, evidentiary thresholds, and domain-validated safe fallback states - and introduce a Deliberative Audit Method (DAM) with playbooks for pre-deployment walkthroughs, shadow-mode trials, and post-incident review. We instantiate…