Tootfinder

How Turkmenistan turned censorship into a lucrative extortion scheme by intentionally restricting internet access in order to sell its own VPNs to citizens (Tor Blog)
https://blog.torproject.org/Corruption-Control-Turkmenistan-internet-censorship-bus…

Corruption and Control: How Turkmenistan turned internet censorship into a business | Tor Project
In Turkmenistan, one of the most isolated regimes in the world, internet censorship has evolved beyond surveillance and control. In an Orwellian twist, the people blocking access to the internet are the same ones secretly selling it back, at a price most Turkmens can't afford.

NMPCM: Nonlinear Model Predictive Control on Resource-Constrained Microcontrollers
Van Chung Nguyen, Pratik Walunj, Chuong Le, An Duy Nguyen, Hung Manh La
https://arxiv.org/abs/2507.21259

NMPCM: Nonlinear Model Predictive Control on Resource-Constrained Microcontrollers
Nonlinear Model Predictive Control (NMPC) is a powerful approach for controlling highly dynamic robotic systems, as it accounts for system dynamics and optimizes control inputs at each step. However, its high computational complexity makes implementation on resource-constrained microcontrollers impractical. While recent studies have demonstrated the feasibility of Model Predictive Control (MPC) with linearized dynamics on microcontrollers, applying full NMPC remains a significant challenge. Thi…

Ensemble Control of Stochastic Oscillators via Periodic and Feedback Control
Kaito Ito, Haruhiro Kume, Hideaki Ishii
https://arxiv.org/abs/2507.21441 https://

Ensemble Control of Stochastic Oscillators via Periodic and Feedback Control
We address the problem of steering the phase distribution of oscillators all receiving the same control input to a given target distribution. In a large population limit, the distribution of oscillators can be described by a probability density. Then, our problem can be seen as that of ensemble control with a constraint on the steady-state density. In particular, we consider the case where oscillators are subject to stochastic noise, for which the theoretical understanding is still lacking. Fir…

what do you think is the least used ASCII C0/C1 [see below] control code?
edit: i misremembered the definition of C1 control codes. this is easy mode, nobody uses that entire block. let's just limit it to C0

A Reinforcement Learning Framework for Some Singular Stochastic Control Problems
Zongxia Liang, Xiaodong Luo, Xiang Yu
https://arxiv.org/abs/2506.22203 htt…

A Reinforcement Learning Framework for Some Singular Stochastic Control Problems
We develop a continuous-time reinforcement learning framework for a class of singular stochastic control problems without entropy regularization. The optimal singular control is characterized as the optimal singular control law, which is a pair of regions of time and the augmented states. The goal of learning is to identify such an optimal region via the trial-and-error procedure. In this context, we generalize the existing policy evaluation theories with regular controls to learn our optimal s…

🇺🇦 #NowPlaying on KEXP's #MiddayShow
Alien Boy:
🎵 Rhythm of Control
#AlienBoy
https://alienboypdx.bandcamp.com/track/rhythm-of-control
https://open.spotify.com/track/4JfrN0tj0FOY0Ie2xBnQfr

If anyone is playing Remedy's new game "FBC: Firebreak", and you're not in the official Discord server for it, come join us! We chat, form groups with voice comms (there's a bot thing so you can create 3-person temporary channels), we have lore discussion etc.
https://discord.gg/Control…

Large Language Model-Based Framework for Explainable Cyberattack Detection in Automatic Generation Control Systems
Muhammad Sharshar, Ahmad Mohammad Saber, Davor Svetinovic, Amr M. Youssef, Deepa Kundur, Ehab F. El-Saadany
https://arxiv.org/abs/2507.22239

Large Language Model-Based Framework for Explainable Cyberattack Detection in Automatic Generation Control Systems
The increasing digitization of smart grids has improved operational efficiency but also introduced new cybersecurity vulnerabilities, such as False Data Injection Attacks (FDIAs) targeting Automatic Generation Control (AGC) systems. While machine learning (ML) and deep learning (DL) models have shown promise in detecting such attacks, their opaque decision-making limits operator trust and real-world applicability. This paper proposes a hybrid framework that integrates lightweight ML-based attac…

Towards Safe and Comfortable Vehicle Control Transitions: A Systematic Review of Takeover Time, Time Budget, and Takeover Performance
Kexin Liang, Simeon C. Calvert, J. W. C. van Lint
https://arxiv.org/abs/2507.22262

Towards Safe and Comfortable Vehicle Control Transitions: A Systematic Review of Takeover Time, Time Budget, and Takeover Performance
Conditionally automated driving systems require human drivers to disengage from non-driving-related activities and resume vehicle control within limited time budgets when encountering scenarios beyond system capabilities. Ensuring safe and comfortable transitions is critical for reducing driving risks and improving user experience. However, takeovers involve complex human-vehicle interactions, resulting in substantial variability in drivers' responses, especially in takeover time, defined as th…

GOP Senator Roasted Over This 'Idiot' Take On Manhattan Mass Shooting (Ben Blanchet/HuffPost)
https://www.huffpost.com/entry/sen-john-kennedy-idiot-control-nyc-mass-shooting_n_68884f69e4b0b5f7e9088110
http://www.memeorandum.com/250729/p96#a250729p96

Sam Altman: "What if an inhuman AI took control of the world by manipulating people's behavior but its core directive was to make paper clips and it burned down the planet to do that? This is so scary and it's a real thing you should be worried about!"
Governments: "Oh boy that's scary we'll make special rules to invest in your company so you can save us from this frightening possibility. Will we restrict or discourage AI use/development? Haha no that would be foolish!"
Me: "What if an inhuman handful of corporate charters took control of the world by manipulating human behavior but their core directive was to maximize venture capital and they burned down the planet to do that? ..."
Governments (sponsored by said corporations): "Send in the SWAT teams now, this idea is dangerous!"

Dipolar optimal control of quantum states
H\'ector Briongos-Merino, Felipe Isaule, Bruno Juli\'a-D\'iaz, Montserrat Guilleumas
https://arxiv.org/abs/2507.22822 https…

Dipolar optimal control of quantum states
Quantum state control is a fundamental tool for quantum technologies. In this work, we propose and analyze the use of quantum optimal control that exploits the dipolar interaction of ultracold atoms on a lattice ring, focusing on the generation of selected states with entangled circulation. This scheme requires time-dependent control over the orientation of the magnetic field, a technique that is feasible in ultracold atom laboratories. The system's evolution is driven by just two independent c…

Trustworthy AI: UK Air Traffic Control Revisited
Rob Procter, Mark Rouncefield
https://arxiv.org/abs/2507.21169 https://arxiv.org/pdf/2507.21169

Trustworthy AI: UK Air Traffic Control Revisited
Exploring the socio-technical challenges confronting the adoption of AI in organisational settings is something that has so far been largely absent from the related literature. In particular, research into requirements for trustworthy AI typically overlooks how people deal with the problems of trust in the tools that they use as part of their everyday work practices. This article presents some findings from an ongoing ethnographic study of how current tools are used in air traffic control work …

Does this company have a whacky sense of humour, or are they extremely opportunistic - or perhaps both?
This ad came up when I did a search on a medical term I was unfamiliar with:

C11 - Moloch
TARRANT: [O.O.V.] Listen, I need to come up. It should be possible if you adjust the teleport to omicron pulse length. - Cally, are you hearing me? I need teleport now.
[Scene shifts back to Tarrant. The guards are aiming a weapon at him.]
https://blake.torpidity.net/m/311/298

ControlMed: Adding Reasoning Control to Medical Language Model
Sung-Min Lee, Siyoon Lee, Juyeon Kim, Kyungmin Roh
https://arxiv.org/abs/2507.22545 https://…

ControlMed: Adding Reasoning Control to Medical Language Model
Reasoning Large Language Models (LLMs) with enhanced accuracy and explainability are increasingly being adopted in the medical domain, as the life-critical nature of clinical decision-making demands reliable support. Despite these advancements, existing reasoning LLMs often generate unnecessarily lengthy reasoning processes, leading to significant computational overhead and response latency. These limitations hinder their practical deployment in real-world clinical environments. To address thes…

‘Cheaper, More Humane’ Drones Emerge as Key Weapon in Mosquito Control from Poland to Africa https://www.goodnewsnetwork.org/cheaper-more-humane-drones-emerge-as-key-weapon-in-mosquito-control-from-poland-to-africa/

'Cheaper, More Humane' Drones Emerge as Key Weapon in Mosquito Control from Poland to Africa
In Ghana, Kenya, Japan, Poland and probably other countries as well, it's now the mosquitos who fear the sound of buzzing

This way of thinking of hierarchical control rejects the notion of control hierarchies as the arbitrary top-down dictates of rulers and other public officials. For that reason, examining the use of raw, top-down political power to coerce and control individuals or groups is beyond the purview of this chapter. Although this is a real and serious threat to humankind that requires addressing and correcting, it is best understood as the exercise of force, not of constraints as understood here.

Agent-centric learning: from external reward maximization to internal knowledge curation
Hanqi Zhou, Fryderyk Mantiuk, David G. Nagy, Charley M. Wu
https://arxiv.org/abs/2507.22255

Agent-centric learning: from external reward maximization to internal knowledge curation
The pursuit of general intelligence has traditionally centered on external objectives: an agent's control over its environments or mastery of specific tasks. This external focus, however, can produce specialized agents that lack adaptability. We propose representational empowerment, a new perspective towards a truly agent-centric learning paradigm by moving the locus of control inward. This objective measures an agent's ability to controllably maintain and diversify its own knowledge structures…

We're in day #1,283 of Putin's 3-day special military operation to take control of Ukraine.
And we're in day #220 of Trump's 1-day effort to 'end the war'.

Republican control of state legislatures is systematically associated with the rich being (and becoming) richer.
In short, American plutocracy seems to be a quintessentially Republican affair.
And that’s not all.
As we journey into the depths of US state politics, the plot will thicken.
We’ll find striking partisan differences in the language used in state bills.
We’ll see the many ways that Republicans help the rich and hurt workers.
We’ll see the impact pa…

Partisan Politics and the Road to Plutocracy – Economics from the Top Down
In this essay, I take a deep dive into the history of American plutocracy and its conspicuously Republican roots.

I got myself a ticket to see @… in Berlin soon. Get them while they last.
https://mastodon.social/@publix/114935748880689345

Publix Berlin (@publix@mastodon.social)
Attached: 1 image Join us to see Meredith Whittaker, President of Signal, in conversation with Maria Exner and Matthias Spielkamp, to discuss why both perspectives - re-claiming 'digital sovereignty,' without conversations about accountability and control, and the promise of AI as salvation - threaten to send us on the wrong track, and what we must do to bring technology in line with human needs. 🎟️:https://www.publix.de/en/events/meredith-whittaker 📍 25.09.2025, 6:30 pm @Mer__edith…

Ukraine says Myrove and Sobolivka remain under Kyiv’s control, rejects Russian claims of advances: https://benborges.xyz/2025/08/30/ukraine-says-myrove-and-sobolivka.html

Control Copy-Paste: Controllable Diffusion-Based Augmentation Method for Remote Sensing Few-Shot Object Detection
Yanxing Liu, Jiancheng Pan, Bingchen Zhang
https://arxiv.org/abs/2507.21816

Control Copy-Paste: Controllable Diffusion-Based Augmentation Method for Remote Sensing Few-Shot Object Detection
Few-shot object detection (FSOD) for optical remote sensing images aims to detect rare objects with only a few annotated bounding boxes. The limited training data makes it difficult to represent the data distribution of realistic remote sensing scenes, which results in the notorious overfitting problem. Current researchers have begun to enhance the diversity of few-shot novel instances by leveraging diffusion models to solve the overfitting problem. However, naively increasing the diversity of …

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment
Zhao-Wei Wang, Hong-Yang Ma, Yun-An Yan, Lian-Ao Wu, Zhao-Ming Wang
https://arxiv.org/abs/2508.20377

Machine-Learning-Assisted Pulse Design for State Preparation in a Noisy Environment
High-precision quantum control is essential for quantum computing and quantum information processing. However, its practical implementation is challenged by environmental noise, which affects the stability and accuracy of quantum systems. In this paper, using machine learning techniques we propose a quantum control approach that incorporates environmental factors into the design of control schemes, improving the control fidelity in noisy environments. Specifically, we investigate arbitrary quan…

Simultaneous improvement of control and estimation for battery management systems
Mohammad S. Ramadan, Marfred Barrera, Mihai Anitescu, Sylvia Herbert
https://arxiv.org/abs/2507.21300

Simultaneous improvement of control and estimation for battery management systems
The state of charge of battery systems is an important metric typically estimated by observation models, represented by open-circuit voltage graphs. These observation models are often nonlinear in the state of charge, resulting in varying observability from a state estimation perspective. In this paper, we employ a stochastic optimal control (also known as dual control) approach to simultaneously satisfy the control objective in the state of charge of battery systems and improve estimation accu…

Exploration on Demand: From Algorithmic Control to User Empowerment
Edoardo Bianchi
https://arxiv.org/abs/2507.21884 https://arxiv.org/pdf/2507.21884

Exploration on Demand: From Algorithmic Control to User Empowerment
Recommender systems often struggle with over-specialization, which severely limits users' exposure to diverse content and creates filter bubbles that reduce serendipitous discovery. To address this fundamental limitation, this paper introduces an adaptive clustering framework with user-controlled exploration that effectively balances personalization and diversity in movie recommendations. Our approach leverages sentence-transformer embeddings to group items into semantically coherent clusters t…

https://github.com/raspberrypi/rp2350_hacking_challenge_2
Some of my proudest achievements as a hacker have been those that resulted in rule changes.
Like the time that we came back to a CTF a year after Fun Things (tm) happened and the player, judge, an…

GitHub - raspberrypi/rp2350_hacking_challenge_2
Contribute to raspberrypi/rp2350_hacking_challenge_2 development by creating an account on GitHub.

🇺🇦 #NowPlaying on KEXP's #PositiveVibrations
Irie Souljah:
🎵 Rasta at the Control
#IrieSouljah
https://ineffablerecords.bandcamp.com/track/rasta-at-the-control
https://open.spotify.com/track/3N14oP0uoURJ3wfk04RyV6

Marco Rubio hands control of USAID to Project 2025 co-author Russell Vought over ‘pocket recessions’ battle | The Independent
https://www.independent.co.uk/news/world/americas/us-politics/rubio-usaid-end-pocket-recissions-project-2025-author-b2816791.html

Single Agent Robust Deep Reinforcement Learning for Bus Fleet Control
Yifan Zhang
https://arxiv.org/abs/2508.20784 https://arxiv.org/pdf/2508.20784

Single Agent Robust Deep Reinforcement Learning for Bus Fleet Control
Bus bunching remains a challenge for urban transit due to stochastic traffic and passenger demand. Traditional solutions rely on multi-agent reinforcement learning (MARL) in loop-line settings, which overlook realistic operations characterized by heterogeneous routes, timetables, fluctuating demand, and varying fleet sizes. We propose a novel single-agent reinforcement learning (RL) framework for bus holding control that avoids the data imbalance and convergence issues of MARL under near-realis…

Just learned that my little visual cosine gradient generator tool (from 2015) is featured in this popular video tutorial (1.1M views) about artistic shader programming:
https://youtu.be/f4s1h2YETNY?t=971
The tool is still here:

On Policy Stochasticity in Mutual Information Optimal Control of Linear Systems
Shoju Enami, Kenji Kashima
https://arxiv.org/abs/2507.21543 https://arxiv.o…

On Policy Stochasticity in Mutual Information Optimal Control of Linear Systems
In recent years, mutual information optimal control has been proposed as an extension of maximum entropy optimal control. Both approaches introduce regularization terms to render the policy stochastic, and it is important to theoretically clarify the relationship between the temperature parameter (i.e., the coefficient of the regularization term) and the stochasticity of the policy. Unlike in maximum entropy optimal control, this relationship remains unexplored in mutual information optimal con…

The Pentagon just rolled over for Laura Loomer to cancel an eminently qualified warfighter, a West Point graduate, a Rhodes scholar, a former chief of NSA's cryptologic services group in Baghdad, a founder of US Cybercom, and head of CISA.
https://apnews.com/article/w…

Army halts West Point hire of Biden's cybersecurity chief
The Secretary of the Army has directed the U.S. Military Academy at West Point to review its hiring practices and rescind the appointment of a newly announced hire who led the nation's cybersecurity agency under President Joe Biden. The directive Wednesday came just a day after Jen Easterly was announced as the new chair of West Point's social sciences department. The move showed how vigorously the Trump administration has sought to wield control over higher education and the military. It also …

How does the ruling class maintain control of the State? | B.2.3 | An Anarchist FAQ
#Anarchism

Remember how the maga-klan screamed when they heard "Defund The Police"?
Now that the maga-in-chief has decided to secretly defund everything from national parks to embassy security the klan-of-orange is silent.
https://www.nytimes.com/2025/08/29/upshot/

In Budget Logs It Tried to Hide, White House Wrests More Control Over Spending
Deep within obscure footnotes, the Trump administration is claiming more of Congress’s constitutional power of the purse by threatening to block funding.

Not sure what I expected here, but Lightroom’s HDR editing support combined with its SDR rendition settings are consistently giving me the best results for highlight recovery. Just gives you more control, even for SDR output. #AdobeLightroom #Lightroom

Reform led Nottinghamshire Council is blacklisting journalists for asking questions. An outrageous attack on press freedom. Sign the petition to get them to reverse this decision: https://

Reform: Stop hiding from press scrutiny!
Nigel Farage says he welcomes freedom of speech, even if people find it offensive. Surely that should apply to freedom of the press too? So why have Reform's Nottinghamshire councillors - who control the county council - been banned from talking to the Nottingham Post & Nottinghamshire Live, just because we wrote an article they didn't like? Our report asked legitimate questions about local government restructuring. That's our job. When councillors pick and choose which journalists get to...

from my link log —
Intra-procedural lifetime and borrowing analysis in Clang.
https://discourse.llvm.org/t/rfc-intra-procedural-lifetime-analysis-in-clang/86291
saved 2025-07-15

LMPVC and Policy Bank: Adaptive voice control for industrial robots with code generating LLMs and reusable Pythonic policies
Ossi Parikka, Roel Pieters
https://arxiv.org/abs/2506.22028

LMPVC and Policy Bank: Adaptive voice control for industrial robots with code generating LLMs and reusable Pythonic policies
Modern industry is increasingly moving away from mass manufacturing, towards more specialized and personalized products. As manufacturing tasks become more complex, full automation is not always an option, human involvement may be required. This has increased the need for advanced human robot collaboration (HRC), and with it, improved methods for interaction, such as voice control. Recent advances in natural language processing, driven by artificial intelligence (AI), have the potential to answ…

Retrospective score tests versus prospective score tests for genetic association with case-control data
Yukun Liu, Pengfei Li, Lei Song, Kai Yu, Jing Qin
https://arxiv.org/abs/2507.19893

Retrospective score tests versus prospective score tests for genetic association with case-control data
Since the seminal work by Prentice and Pyke (1979), the prospective logistic likelihood has become the standard method of analysis for retrospectively collected case-control data, in particular for testing the association between a single genetic marker and a disease outcome in genetic case-control studies. When studying multiple genetic markers with relatively small effects, especially those with rare variants, various aggregated approaches based on the same prospective likelihood have been de…

"French company offers router capable of redirecting surplus solar to water heating"
#France #SolarPower #Energy #Renewables

French company offers router capable of redirecting surplus solar to water heating
French energy cooperative Solarcoop has launched a solar router that redirects surplus photovoltaic power from self-consumption systems to electric water heaters or other resistive loads, and can also control additional devices such as heat pumps.

🚚 Move your #Azure resources across subscriptions or resource groups—without downtime!
Use CLI, PowerShell, Python, or REST API to stay flexible and in control. ⚙️📦 Just update those resource IDs! #CloudManagement
Learn more:

In its white paper ‘Beyond AI & Copyright’, @… emphasises two structural risks of AI-supported access to knowledge:
1. the concentration of control over knowledge in the hands of a few powerful actors
2. the erosion of the institutions and economic foundations of human information production.
To preserve digital knowledge communities, he calls for …

"Those interested in making the Universal Operating System more Universal by introducing intimate hardware control software, please consider joining the team: https://wiki.debian.org/Teams/Buttplug"

> Two years ago, the Flemish Roads Agency (AWV) announced the introduction of the new system: via an app on your smartphone, you can get a traffic light to turn green more quickly.
https://www.vrt.be/vrtnws/en/2025/07/24/200-000-flemish…

Activated Backstepping with Control Barrier Functions for the Safe Navigation of Automated Vehicles
Laszlo Gacsi, Max H. Cohen, Tamas G. Molnar
https://arxiv.org/abs/2508.20822 …

Activated Backstepping with Control Barrier Functions for the Safe Navigation of Automated Vehicles
This paper introduces a novel safety-critical control method through the synthesis of control barrier functions (CBFs) for systems with high-relative-degree safety constraints. By extending the procedure of CBF backstepping, we propose activated backstepping - a constructive method to synthesize valid CBFs. The novelty of our method is the incorporation of an activation function into the CBF, which offers less conservative safe sets in the state space than standard CBF backstepping. We demonstr…

Yes. We are.
The next epidemic *will affect you* before the mass media has received any mention of it from the Federal government.
It will be like AIDS except that the ignored dead will be everyone instead of just gays, drug injectors, and Haitians.
https://

Vaccine disputes and agency departures put U.S. at risk, a former CDC official says
Health and Human Services Deputy Secretary Jim O'Neill will be named interim director of the Centers for Disease Control and Prevention, according to a letter Kennedy sent to CDC staff, which was obtained by NPR. The decision comes after Health Secretary Robert F. Kennedy Jr. fired Susan Monarez, …

Universal dynamics and microwave control of programmable cavity electro-optic frequency combs
Yunxiang Song, Tianqi Lei, Yanyun Xue, Andrea Cordaro, Michael Haas, Guanhao Huang, Xudong Li, Shengyuan Lu, Leticia Magalhaes, Jiayu Yang, Matthew Yeh, Xinrui Zhu, Neil Sinclair, Qihuang Gong, Yaowen Hu, Marko Loncar
https://arxiv.org/abs/2507.21…

Universal dynamics and microwave control of programmable cavity electro-optic frequency combs
Electro-optic (EO) frequency combs are foundational for metrology and spectroscopy. Specifically, microresonator-based cavity EO combs are distinguished by efficient sideband generation, precisely controlled by microwave signals, enabling high-performance integrated frequency references and pulse sources. However, the apparent simplicity of these devices, often described by the EO modulation-induced coupling of nearest-neighbor cavity modes, has limited investigations of their fundamental physi…

Multidimensional Assessment of Takeover Performance in Conditionally Automated Driving
Kexin Liang, Jan Luca K\"astleb, Bani Anvarib, Simeon C. Calverta, J. W. C. van Lint
https://arxiv.org/abs/2507.22252

Multidimensional Assessment of Takeover Performance in Conditionally Automated Driving
When automated driving systems encounter complex situations beyond their operational capabilities, they issue takeover requests, prompting drivers to resume vehicle control and return to the driving loop as a critical safety backup. However, this control transition places significant demands on drivers, requiring them to promptly respond to takeover requests while executing high-quality interventions. To ensure safe and comfortable control transitions, it is essential to develop a deep understa…

Series B, Episode 02 - Shadow
GAN: The manual controls won't respond.
VILA: Do something, Gan.
GAN: Something is draining off the power. [Lights dim]
VILA: Orac, it has to be Orac.
https://blake.torpidity.net/m/202/565 B7B3

Spherical Pendulum with Quad-Rotor Thrust Vectoring Actuation -- A Novel Mechatronics and Control Benchmark Platform
Yuchen Li, Omar Curiel, Sheng-Fan Wen, Tsu-Chin Tsao
https://arxiv.org/abs/2506.22410

Spherical Pendulum with Quad-Rotor Thrust Vectoring Actuation -- A Novel Mechatronics and Control Benchmark Platform
Motor-actuated pendulums have been established as arguably the most common laboratory prototypes used in control system education because of the relevance to robot manipulator control in industry. Meanwhile, multi-rotor drones like quadcopters have become popular in industrial applications but have not been broadly employed in control education laboratory. Platforms with pendulums and multi-rotor copters present classical yet intriguing multi-degree of freedom (DoF) dynamics and coordinate syst…

SEC filing: Super Micro cautions that its financial control weaknesses, if not fixed, could hurt its ability to report results "in a timely and accurate manner" (Dina Bass/Bloomberg)
https://www.bloomberg.com/news/articles/20

Trump maintains control over and can profit from his businesses while in office through a revocable trust, of which he is both the sole donor and sole beneficiary.
In his first term, those looking to support Trump financially could lend him money against his real estate, license his name, buy his assets, join one of his clubs or book a hotel.
Since leaving office in 2021, Trump’s business empire expanded into the digital realm, where the products are often intangible, but the rev…

Truth Social, the $Trump meme coin and World Liberty Financial Give Supporters And Favor Seekers New Ways To Pay Trump
Foreign firms, crypto whales and political allies are using Trump’s newest ventures to route millions into companies he profits from while in office.

Optimal control of stochastic homogenous systems
Ying Hu, Xiaomin Shi, Zuo Quan Xu
https://arxiv.org/abs/2507.21576 https://arxiv.org/pdf/2507.21576…

Optimal control of stochastic homogenous systems
This paper investigates a new class of homogeneous stochastic control problems with cone control constraints, extending the classical homogeneous stochastic linear-quadratic (LQ) framework to encompass nonlinear system dynamics and non-quadratic cost functionals. We demonstrate that, analogous to the LQ case, the optimal controls and value functions for these generalized problems are intimately connected to a novel class of highly nonlinear backward stochastic differential equations (BSDEs). We…

Progress and Challenges in the Corps Transformation: https://benborges.xyz/2025/07/30/progress-and-challenges-in-the.html

Stochastic Neural Control Barrier Functions
Hongchao Zhang, Manan Tayal, Jackson Cox, Pushpak Jagtap, Shishir Kolathaya, Andrew Clark
https://arxiv.org/abs/2506.21697

Stochastic Neural Control Barrier Functions
Control Barrier Functions (CBFs) are utilized to ensure the safety of control systems. CBFs act as safety filters in order to provide safety guarantees without compromising system performance. These safety guarantees rely on the construction of valid CBFs. Due to their complexity, CBFs can be represented by neural networks, known as neural CBFs (NCBFs). Existing works on the verification of the NCBF focus on the synthesis and verification of NCBFs in deterministic settings, leaving the stochast…

Overhead in Quantum Circuits with Time-Multiplexed Qubit Control
Marvin Richter, Ingrid Strandberg, Simone Gasparinetti, Anton Frisk Kockum
https://arxiv.org/abs/2508.20752 http…

Overhead in Quantum Circuits with Time-Multiplexed Qubit Control
When scaling up quantum processors in a cryogenic environment, it is desirable to limit the number of qubit drive lines going into the cryostat, since fewer lines makes cooling of the system more manageable and the need for complicated electronics setups is reduced. However, although time-multiplexing of qubit control enables using just a few drive line to steer many qubits, it comes with a trade-off: fewer drive lines means fewer qubits can be controlled in parallel, which leads to an overhead…

The one state that could determine House control next year (Washington Post)
https://www.washingtonpost.com/politics/2025/07/28/one-state-that-could-determine-house-control-next-year/
http://www.memeorandum.com/250728/p40#a250728p40

Out of Control -- Why Alignment Needs Formal Control Theory (and an Alignment Control Stack)
Elija Perrier
https://arxiv.org/abs/2506.17846 https://…

Out of Control -- Why Alignment Needs Formal Control Theory (and an Alignment Control Stack)
This position paper argues that formal optimal control theory should be central to AI alignment research, offering a distinct perspective from prevailing AI safety and security approaches. While recent work in AI safety and mechanistic interpretability has advanced formal methods for alignment, they often fall short of the generalisation required of control frameworks for other technologies. There is also a lack of research into how to render different alignment/control protocols interoperable.…

Via Business Insider (paywalled; my RSS feeder displays the text):
“The way business leaders are frantically begging Trump for favors and the almost openly corrupt way in which he is granting them is, in effect, government taking control of the means of production”

Multivariate Spatio-temporal Modelling for Completing Cancer Registries and Forecasting Incidence
Garazi Retegui, Jaione Etxeberria, Mar\'ia Dolores Ugarte
https://arxiv.org/abs/2507.21714

Multivariate Spatio-temporal Modelling for Completing Cancer Registries and Forecasting Incidence
Cancer data, particularly cancer incidence and mortality, are fundamental to understand the cancer burden, to set targets for cancer control and to evaluate the evolution of the implementation of a cancer control policy. However, the complexity of data collection, classification, validation and processing result in cancer incidence figures often lagging two to three years behind the calendar year. In response, national or regional population-based cancer registries (PBCRs) are increasingly inte…

Collaborate confidently across Microsoft #Entra tenants! Use cross-tenant access settings to manage #B2B access—securely and smartly. ✅ Control inbound/outbound access 🔄 Trust MFA & devices 🚫 Block risky connections with precision.
Learn more:

Optimal Impulsive Control of Cislunar Relative Motion using Reachable Set Theory
Matthew Hunter, Walter J. Manuel, Simone D'Amico
https://arxiv.org/abs/2507.21425 https://…

Optimal Impulsive Control of Cislunar Relative Motion using Reachable Set Theory
This work presents the first application of the state-of-the-art Koenig-D'Amico reachable set theory solver to cislunar, chaotic relative motion in the Circular-Restricted Three-Body Problem (CR3BP). The relative motion dynamics of two spacecraft, a chief and a deputy, in the CR3BP are formulated as a Linear Time-Variant (LTV) system, allowing the solver to find an optimal impulsive control maneuver plan. This methodology demonstrates robust and accurate control performance for both small and l…

Model-Free Hovering and Source Seeking via Extremum Seeking Control: Experimental Demonstration
Ahmed A. Elgohary, Rohan Palanikumar, Sameh A. Eisa
https://arxiv.org/abs/2508.20836

Model-Free Hovering and Source Seeking via Extremum Seeking Control: Experimental Demonstration
In a recent effort, we successfully proposed a categorically novel approach to mimic the phenomenoa of hovering and source seeking by flapping insects and hummingbirds using a new extremum seeking control (ESC) approach. Said ESC approach was shown capable of characterizing the physics of hovering and source seeking by flapping systems, providing at the same time uniquely novel opportunity for a model-free, real-time biomimicry control design. In this paper, we experimentally test and verify, f…

Malleability-Resistant Encrypted Control System with Disturbance Compensation and Real-Time Attack Detection
Naoki Aizawa, Keita Emura, Kiminao Kogiso
https://arxiv.org/abs/2507.22693

Malleability-Resistant Encrypted Control System with Disturbance Compensation and Real-Time Attack Detection
This study proposes an encrypted PID control system with a disturbance observer (DOB) using a keyed-homomorphic encryption (KHE) scheme, aiming to achieve control performance while providing resistance to malleability-based attacks. The controller integrates a DOB with a PID structure to compensate for modeling uncertainties by estimating and canceling external disturbances. To enhance security, the system is designed to output error symbols when ciphertexts are falsified during decryption or e…

As Karoline Leavitt struggles to defend RFK Jr.’s purging of the Centers for Disease Control,
a governing expert explains the enormity of the stakes involved in Trump’s destruction of our public health system
https://newrepublic.com/article/199832

Transcript: Trump Press Sec’s Dumb Spin Implodes as RFK Fiasco Worsens
As Karoline Leavitt struggles to defend RFK Jr.’s purging of the Centers for Disease Control, a governing expert explains the enormity of the stakes involved in Trump’s destruction of our public health system.

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Gossip:
🎵 Standing in the Way of Control
#Gossip
https://masturbeator.bandcamp.com/track/gossip-standing-in-the-way-of-control-masturbeator-remix
https://open.spotify.com/track/7B6jxcVkJTHMUE83ZndMjl
Please 🔁 BOOST to share what you like
- your followers don't see if you ⭐ favourite a post

DOGE loses control over government grants website, freeing up billions (Washington Post)
https://www.washingtonpost.com/politics/2025/06/27/doge-loses-control-federal-grants/?pwapi_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJyZWFzb24iOiJnaWZ0IiwibmJmIjoxNzUwOTk2ODAwLCJpc3MiOiJzdWJzY3JpcHRpb25zIiwiZXhwIjoxNzUyMzc5MTk5LCJpYXQiOjE3NTA5OTY4MDAsImp0aSI6Ijg5MDBiZTk1LTc0ODktNGUyMC1iNmY0LTZjOWZhNGFmODNlMiIsInVybCI6Imh0dHBzOi8vd3d3Lndhc2hpbmd0b25wb3N0LmNvbS9wb2xpdGljcy8yMDI1LzA2LzI3L2RvZ2UtbG9zZXMtY29udHJvbC1mZWRlcmFsLWdyYW50cy8ifQ.Sd0lvhogISrMbsfmJpF3BJJZwMZe82DlkqnlEq2e8Kg&itid=gfta
http://www.memeorandum.com/250627/p152#a250627p152

Safe and Efficient Data-driven Connected Cruise Control
Haosong Xiao, Chaozhe R. He
https://arxiv.org/abs/2507.22227 https://arxiv.org/pdf/2507.22227

Safe and Efficient Data-driven Connected Cruise Control
In this paper, we design a safe and efficient cruise control for the connected automated vehicle with access to motion information from multiple vehicles ahead via vehicle-to-vehicle (V2V) communication. Position and velocity data collected from a chain of human-driven vehicles are systematically leveraged to design a connected cruise controller that smoothly responds to traffic perturbations while maximizing energy efficiency. A safety filter derived from a control barrier function provides th…

Fully Coupled Nonlinear FBS$\Delta$Es: Maximum principle and LQ Control Insights
Zhipeng Niu, Jun Moon, Qingxin Meng
https://arxiv.org/abs/2507.20075 https://

Fully Coupled Nonlinear FBS$Δ$Es: Maximum principle and LQ Control Insights
This paper investigates the optimal control problem for a class of nonlinear fully coupled forward-backward stochastic difference equations (FBS$Δ$Es). Under the convexity assumption of the control domain, we establish a variational formula for the cost functional involving the Hamiltonian and adjoint system. Both necessary and sufficient conditions for optimal control are derived using the Pontryagin maximum principle. As an application, we present a linear quadratic optimal control problem t…

Russia coses control: Ichkeria inspires the peoples of the Caucasus to fight for freedom: https://benborges.xyz/2025/08/23/russia-coses-control-ichkeria-inspires.html

Multifunctional physical reservoir computing in soft tensegrity robots
Ryo Terajima, Katsuma Inoue, Kohei Nakajima, Yasuo Kuniyoshi
https://arxiv.org/abs/2507.21496 https://

Multifunctional physical reservoir computing in soft tensegrity robots
Recent studies have demonstrated that the dynamics of physical systems can be utilized for the desired information processing under the framework of physical reservoir computing (PRC). Robots with soft bodies are examples of such physical systems, and their nonlinear body-environment dynamics can be used to compute and generate the motor signals necessary for the control of their own behavior. In this simulation study, we extend this approach to control and embed not only one but also multiple …

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Gossip:
🎵 Standing in the Way of Control
#Gossip
https://masturbeator.bandcamp.com/track/gossip-standing-in-the-way-of-control-masturbeator-remix
https://open.spotify.com/track/7B6jxcVkJTHMUE83ZndMjl

Data-Driven Greenhouse Climate Regulation in Lettuce Cultivation Using BiLSTM and GRU Predictive Control
Soumo Emmanuel Arnaud, Marcello Calisti, Athanasios Polydoros
https://arxiv.org/abs/2507.21669

Data-Driven Greenhouse Climate Regulation in Lettuce Cultivation Using BiLSTM and GRU Predictive Control
Efficient greenhouse management is essential for sustainable food production in response to a growing global population. However, maintaining optimal indoor climates requires significant energy and resources, making advanced control systems critical for economic viability and environmental sustainability. Traditional greenhouse models are often complex and imprecise, limiting the effectiveness of conventional control strategies. To address these challenges, this study investigates data-driven p…

Sliding Mode Control for Uncertain Systems with Time-Varying Delays via Predictor Feedback and Super-Twisting Observer
Hardy Pinto, Tiago Roux Oliveira, Liu Hsu
https://arxiv.org/abs/2507.21281

Sliding Mode Control for Uncertain Systems with Time-Varying Delays via Predictor Feedback and Super-Twisting Observer
This paper introduces a novel stabilization control strategy for linear time-invariant systems affected by known time-varying measurement delays and matched unknown nonlinear disturbances, which may encompass actuator faults. It is considered that part of the state vector is not available for real-time measurement. To address this, the proposed approach combines an open-loop predictor with a state observer designed using the Super-Twisting Algorithm, aiming to compensate for the delays and esti…

Control of Marine Robots in the Era of Data-Driven Intelligence
Lin Hong, Lu Liu, Zhouhua Peng, Fumin Zhang
https://arxiv.org/abs/2506.21063 https://

Control of Marine Robots in the Era of Data-Driven Intelligence
The control of marine robots has long relied on model-based methods grounded in classical and modern control theory. However, the nonlinearity and uncertainties inherent in robot dynamics, coupled with the complexity of marine environments, have revealed the limitations of conventional control methods. The rapid evolution of machine learning has opened new avenues for incorporating data-driven intelligence into control strategies, prompting a paradigm shift in the control of marine robots. This…

Replaced article(s) found for eess.SY. https://arxiv.org/list/eess.SY/new
[1/1]:
- Safe Control for Nonlinear Systems Under Faults and Attacks Via Control Barrier Functions
Hongchao Zhang, Zhouchi Li, Andrew Clark

Optimal Control of ODE Car-Following Models: Applications to Mixed-Autonomy Platoon Control via Coupled Autonomous Vehicles
Arwa Alanqary, Alexandre M. Bayen, Xiaoqian Gong, Anish Gollakota, Alexander Keimer, Ashish Pandian
https://arxiv.org/abs/2508.19417

Optimal Control of ODE Car-Following Models: Applications to Mixed-Autonomy Platoon Control via Coupled Autonomous Vehicles
In this paper, we study the optimal control of a mixed-autonomy platoon driving on a single lane to smooth traffic flow. The platoon consists of autonomous vehicles, whose acceleration is controlled, and human-driven vehicles, whose behavior is described using a microscopic car-following model. We formulate the optimal control problem where the dynamics of the platoon are describing through a system of non-linear ODEs, with explicit constraints on both the state and the control variables. Theor…

Economic Model Predictive Control with a Non-Fixed Reference Trajectory for Optimal Microgrid Dispatch
Avik Ghosh, Adil Khurram, Jan Kleissl, Sonia Martinez
https://arxiv.org/abs/2506.22406

Economic Model Predictive Control with a Non-Fixed Reference Trajectory for Optimal Microgrid Dispatch
Economic Model Predictive Control (EMPC), instead of stabilizing a reference trajectory/state in the objective function like a Tracking MPC, optimizes the economic performance over the prediction horizon, making it attractive for economical microgrid (MG) dispatch. However, the demand charge component in the monthly electricity cost, make it difficult to be encapsulated in additive stage costs, and can make solutions violate the principle of optimality if naively introduced in the objective fun…

Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars
Mattia Piccinini, Aniello Mungiello, Georg Jank, Gastone Pietro Rosati Papini, Francesco Biral, Johannes Betz
https://arxiv.org/abs/2507.20427

Model-Structured Neural Networks to Control the Steering Dynamics of Autonomous Race Cars
Autonomous racing has gained increasing attention in recent years, as a safe environment to accelerate the development of motion planning and control methods for autonomous driving. Deep learning models, predominantly based on neural networks (NNs), have demonstrated significant potential in modeling the vehicle dynamics and in performing various tasks in autonomous driving. However, their black-box nature is critical in the context of autonomous racing, where safety and robustness demand a tho…

Minimum Attention Control (MAC) in a Receding Horizon Framework with Applications
T. Ganesh Teja, Santhosh Kumar Varanasi, Phanindra Jampana
https://arxiv.org/abs/2507.20835 htt…

Minimum Attention Control (MAC) in a Receding Horizon Framework with Applications
Minimum Attention Control (MAC) is a control technique that provides minimal input changes to meet the control objective. Mathematically, the zero norm of the input changes is used as a constraint for the given control objective and minimized with respect to the process dynamics. In this paper, along with the zero norm constraint, stage costs are also considered for reference tracking in a receding horizon framework. For this purpose, the optimal inputs of the previous horizons are also conside…

LLMs-guided adaptive compensator: Bringing Adaptivity to Automatic Control Systems with Large Language Models
Zhongchao Zhou, Yuxi Lu, Yaonan Zhu, Yifan Zhao, Bin He, Liang He, Wenwen Yu, Yusuke Iwasawa
https://arxiv.org/abs/2507.20509

LLMs-guided adaptive compensator: Bringing Adaptivity to Automatic Control Systems with Large Language Models
With rapid advances in code generation, reasoning, and problem-solving, Large Language Models (LLMs) are increasingly applied in robotics. Most existing work focuses on high-level tasks such as task decomposition. A few studies have explored the use of LLMs in feedback controller design; however, these efforts are restricted to overly simplified systems, fixed-structure gain tuning, and lack real-world validation. To further investigate LLMs in automatic control, this work targets a key subfiel…

Modified Smith predictor for unstable linear systems
Anton Pyrkin, Konstantin Kalinin
https://arxiv.org/abs/2507.22243 https://arxiv.org/pdf/2507.22243

Modified Smith predictor for unstable linear systems
The paper presents a new control algorithm for unstable linear systems with input delay. In comparison with known analogues, the control law has been designed, which is a modification of the Smith predictor, and is the simplest one to implement without requiring complex integration methods. At the same time, the problem of stabilization of a closed system is effectively solved, ensuring the boundedness of all state variables and the exponential stability of the equilibrium point.

Cluster Synchronization and Phase Cohesiveness of Kuramoto Oscillators via Mean-phase Feedback Control and Pacemakers
Ryota Kokubo, Rui Kato, Hideaki Ishii
https://arxiv.org/abs/2507.22778

Cluster Synchronization and Phase Cohesiveness of Kuramoto Oscillators via Mean-phase Feedback Control and Pacemakers
Brain networks typically exhibit characteristic synchronization patterns where several synchronized clusters coexist. On the other hand, neurological disorders are considered to be related to pathological synchronization such as excessive synchronization of large populations of neurons. Motivated by these phenomena, this paper presents two approaches to control the cluster synchronization and the cluster phase cohesiveness of Kuramoto oscillators. One is based on feeding back the mean phases to…

Learning Distributed Safe Multi-Agent Navigation via Infinite-Horizon Optimal Graph Control
Fenglan Wang, Xinguo Shu, Lei He, Lin Zhao
https://arxiv.org/abs/2506.22117

Learning Distributed Safe Multi-Agent Navigation via Infinite-Horizon Optimal Graph Control
Distributed multi-agent navigation faces inherent challenges due to the competing requirements of maintaining safety and achieving goal-directed behavior, particularly for agents with limited sensing range operating in unknown environments with dense obstacles. Existing approaches typically project predefined goal-reaching controllers onto control barrier function (CBF) constraints, often resulting in conservative and suboptimal trade-offs between safety and goal-reaching performance. We propos…

Frequency-Domain Analysis of the Euler-Bernoulli and Timoshenko Beams with Attached Masses
Alexander Zuyev, Julia Kalosha
https://arxiv.org/abs/2507.22147 https://

Frequency-Domain Analysis of the Euler-Bernoulli and Timoshenko Beams with Attached Masses
This work is focused on the frequency-domain modeling of a simply supported flexible beam with an attached mass in the presence of dissipation. The considered system is equipped with a spring-loaded control actuator and possesses local damping effect. With the help of Hamilton's variational principle, the equations of motion are derived in the state space form with account of interface conditions involving lumped control and local damping. The transfer functions are obtained for Timoshenko and …

Transient Stability Analysis of a Hybrid Grid-Forming and Grid-Following RES System Considering Multi-Mode Control Switching
Ruiyuan Zeng, Ruisheng Diao, Fangyuan Sun, Wangqianyun Tang, Junjie Li, Baorong Zhou
https://arxiv.org/abs/2508.20552

Transient Stability Analysis of a Hybrid Grid-Forming and Grid-Following RES System Considering Multi-Mode Control Switching
The inherent control switching of renewable energy sources (RESs) during intricate transient processes introduces complexity to the dynamic behavior of modern power systems. This paper reveals the dynamic coupling between grid forming (GFM)/grid following (GFL)-based RES and dominant instability modes of the hybrid system. First, six control combinations are systematically investigated by pairing the two GFM-RES modes, normal control (NC) and current saturation (CS), with the three GFL-RES mode…

\(H_2/H_\infty\) Control for Continuous-Time Mean-Field Stochastic Systems with Affine Terms
Xuling Fang, Jun Moon, Maoning Tang, Qingxin Meng
https://arxiv.org/abs/2507.19809 h…

\(H_2/H_\infty\) Control for Continuous-Time Mean-Field Stochastic Systems with Affine Terms
This paper discusses the \( H_2/H_{\infty} \) control problem for continuous-time mean-field linear stochastic systems with affine terms over a finite horizon. We employ the Mean-Field Stochastic Bounded Real Lemma (MF-SBRL), which provides the necessary and sufficient conditions to ensure that the \( H_{\infty} \) norm of system perturbations remains below a certain level. By utilizing the Mean-Field Forward-Backward Stochastic Differential Equations (MF-FBSDE), we establish the equivalence co…

Replaced article(s) found for eess.SY. https://arxiv.org/list/eess.SY/new
[1/1]:
- A reference frame-based microgrid primary control for ensuring global convergence to a periodic o...
Xinyuan Jiang, Constantino M. Lagoa, Daning Huang, Yan Li

Of Good Demons and Bad Angels: Guaranteeing Safe Control under Finite Precision
Samuel Teuber, Debasmita Lohar, Bernhard Beckert
https://arxiv.org/abs/2507.22760 https://…

Of Good Demons and Bad Angels: Guaranteeing Safe Control under Finite Precision
As neural networks (NNs) become increasingly prevalent in safety-critical neural network-controlled cyber-physical systems (NNCSs), formally guaranteeing their safety becomes crucial. For these systems, safety must be ensured throughout their entire operation, necessitating infinite-time horizon verification. To verify the infinite-time horizon safety of NNCSs, recent approaches leverage Differential Dynamic Logic (dL). However, these dL-based guarantees rely on idealized, real-valued NN semant…

Adaptive Control of Heterogeneous Platoons with Guaranteed Collision Avoidance
Ashutosh Chandra Pandey, Sayan Basu Roy, Simone Baldi
https://arxiv.org/abs/2508.20493 https://

Adaptive Control of Heterogeneous Platoons with Guaranteed Collision Avoidance
This work proposes a framework for Cooperative Adaptive Cruise Control of a vehicular platoon characterized by unidirectional communication and heterogeneous parameters. In the proposed framework, the actual (heterogeneous) platoon is made to converge to a reference (homogeneous) platoon via adaptive laws designed using of set-theoretic model reference adaptive control. Yet, in contrast to the state-of-art that is based on ensuring collision avoidance on the reference platoon dynamics only, the…

A Hierarchical Signal Coordination and Control System Using a Hybrid Model-based and Reinforcement Learning Approach
Xianyue Peng, Shenyang Chen, H. Michael Zhang
https://arxiv.org/abs/2508.20102

A Hierarchical Signal Coordination and Control System Using a Hybrid Model-based and Reinforcement Learning Approach
Signal control in urban corridors faces the dual challenge of maintaining arterial traffic progression while adapting to demand variations at local intersections. We propose a hierarchical traffic signal coordination and control scheme that integrates model-based optimization with reinforcement learning. The system consists of: (i) a High-Level Coordinator (HLC) that selects coordination strategies based on observed and predicted demand; (ii) a Corridor Coordinator that derives phase constraint…

DMPC-Swarm: Distributed Model Predictive Control on Nano UAV swarms
Alexander Gr\"afe, Joram Eickhoff, Marco Zimmerling, Sebastian Trimpe
https://arxiv.org/abs/2508.20553 h…

DMPC-Swarm: Distributed Model Predictive Control on Nano UAV swarms
Swarms of unmanned aerial vehicles (UAVs) are increasingly becoming vital to our society, undertaking tasks such as search and rescue, surveillance and delivery. A special variant of Distributed Model Predictive Control (DMPC) has emerged as a promising approach for the safe management of these swarms by combining the scalability of distributed computation with dynamic swarm motion control. In this DMPC method, multiple agents solve local optimization problems with coupled anti-collision constr…

A lightweight numerical model for predictive control of borehole thermal energy storages
Johannes van Randenborgh, Steffen Daniel, Moritz Schulze Darup
https://arxiv.org/abs/2507.20974

A lightweight numerical model for predictive control of borehole thermal energy storages
Borehole thermal energy storage (BTES) can reduce the operation of fossil fuel-based heating, ventilation, and air conditioning systems for buildings. With BTES, thermal energy is stored via a borehole heat exchanger in the ground. Model predictive control (MPC) may maximize the use of BTES by achieving a dynamic interaction between the building and BTES. However, modeling BTES for MPC is challenging, and a trade-off between model accuracy and an easy-to-solve optimal control problem (OCP) must…

Distributed Safety-Critical MPC for Multi-Agent Formation Control and Obstacle Avoidance
Chao Wang, Shuyuan Zhang, Lei Wang
https://arxiv.org/abs/2508.19678 https://

Distributed Safety-Critical MPC for Multi-Agent Formation Control and Obstacle Avoidance
For nonlinear multi-agent systems with high relative degrees, achieving formation control and obstacle avoidance in a distributed manner remains a significant challenge. To address this issue, we propose a novel distributed safety-critical model predictive control (DSMPC) algorithm that incorporates discrete-time high-order control barrier functions (DHCBFs) to enforce safety constraints, alongside discrete-time control Lyapunov functions (DCLFs) to establish terminal constraints. To facilitate…

Safe Deployment of Offline Reinforcement Learning via Input Convex Action Correction
Alex Durkin, Jasper Stolte, Matthew Jones, Raghuraman Pitchumani, Bei Li, Christian Michler, Mehmet Mercang\"oz
https://arxiv.org/abs/2507.22640

Safe Deployment of Offline Reinforcement Learning via Input Convex Action Correction
Offline reinforcement learning (offline RL) offers a promising framework for developing control strategies in chemical process systems using historical data, without the risks or costs of online experimentation. This work investigates the application of offline RL to the safe and efficient control of an exothermic polymerisation continuous stirred-tank reactor. We introduce a Gymnasium-compatible simulation environment that captures the reactor's nonlinear dynamics, including reaction kinetics,…

Experimental Implementation and Validation of Predictor-Based CACC for Vehicular Platoons With Distinct Actuation Delays
Amirhossein Samii, Redmer de Haan, Nikolaos Bekiaris-Liberis
https://arxiv.org/abs/2507.21579

Experimental Implementation and Validation of Predictor-Based CACC for Vehicular Platoons With Distinct Actuation Delays
We provide experimental validation, in a pair of vehicles, of a recently introduced predictor-based cooperative adaptive cruise control (CACC) design, developed for achieving delay compensation in heterogeneous vehicular platoons subject to long actuation delays that may be distinct for each individual vehicle. We provide the explicit formulae of the control design that is implemented, accounting for the effect of zero-order hold and sampled measurements; as well as we obtain vehicle and string…

Toward Trusted Onboard AI: Advancing Small Satellite Operations using Reinforcement Learning
Cannon Whitney, Joseph Melville
https://arxiv.org/abs/2507.22198 https://

Toward Trusted Onboard AI: Advancing Small Satellite Operations using Reinforcement Learning
A RL (Reinforcement Learning) algorithm was developed for command automation onboard a 3U CubeSat. This effort focused on the implementation of macro control action RL, a technique in which an onboard agent is provided with compiled information based on live telemetry as its observation. The agent uses this information to produce high-level actions, such as adjusting attitude to solar pointing, which are then translated into control algorithms and executed through lower-level instructions. Once…