Tootfinder

A stochastic Galerkin method for optimal Dirichlet boundary control problems with uncertain data
Max Winkler, Hamdullah Y\"ucel
https://arxiv.org/abs/2506.11479

A stochastic Galerkin method for optimal Dirichlet boundary control problems with uncertain data
The paper deals with a stochastic Galerkin approximation of elliptic Dirichlet boundary control problems with random input data. The expectation of a tracking cost functional with the deterministic constrained control is minimized. Error estimates are derived for the control variable in $L^2(\partial \mathcal D)$-norm and state variable in $L^2(Ω\times\mathcal D)$-norm. To solve large linear systems, appropriate preconditioners are proposed for both unconstrained and constrained scenarios. To …

Trump keeps control of National Guard in LA for now • Washington State Standard
https://washingtonstatestandard.com/2025/06/13/repub/trump-keeps-control-of-california-national-guard-in-la-for-now-after-appeals-court-order/

Robust Optimal Task Planning to Maximize Battery Life
Jiachen Li, Chu Jian, Feiyang Zhao, Shihao Li, Wei Li, Dongmei Chen
https://arxiv.org/abs/2506.11264 …

Robust Optimal Task Planning to Maximize Battery Life
This paper proposes a control-oriented optimization platform for autonomous mobile robots (AMRs), focusing on extending battery life while ensuring task completion. The requirement of fast AMR task planning while maintaining minimum battery state of charge, thus maximizing the battery life, renders a bilinear optimization problem. McCormick envelop technique is proposed to linearize the bilinear term. A novel planning algorithm with relaxed constraints is also developed to handle parameter unce…

Near optimal controls for partially observed stochastic linear quadratic problems
Jingrui Sun, Jiaqiang Wen, Jie Xiong, Wen Xu
https://arxiv.org/abs/2506.11778

Near optimal controls for partially observed stochastic linear quadratic problems
In this article, we consider a stochastic linear quadratic control problem with partial observation. A near optimal control in the weak formulation is characterized. The main features of this paper are the presence of the control in the diffusion term of the state equation, the circular dependence between the control process and the filtration generated by the observation, and the observation process contains an unbounded drift term. We address these difficulties by first restricting the contro…

Synthesizing Min-Max Control Barrier Functions For Switched Affine Systems
Sara Kamali, Guillaume O. Berger, Sriram Sankaranarayanan
https://arxiv.org/abs/2506.10296

Synthesizing Min-Max Control Barrier Functions For Switched Affine Systems
We study the problem of synthesizing non-smooth control barrier functions (CBFs) for continuous-time switched affine systems. Switched affine systems are defined by a set of affine dynamical modes, wherein the control consists of a state-based switching signal that determines the current operating mode. The control barrier functions seek to maintain the system state inside a control invariant set that excludes a given set of unsafe states. We consider CBFs that take the form of pointwise minima…

A federal judge ruled on Thursday that Donald Trump illegally deployed the California national guard to suppress protests against immigration raids in Los Angeles
and ordered the force to be returned to the control of the state governor, Gavin Newsom.
The order by the US district judge Charles Breyer will not take effect until noon on Friday,
but it marked a stinging defeat for the Trump administration that is sure to touch off a pitched legal battle destined for the US supr…

The israeli-american genocide of the Palestinian people continues. It’s not just israel. It was never just israel.
“‘This is an administration that is committed to Palestinian erasure, both physical and political,’ Elgindy said. ‘The signs were there even in the first Trump term, which nominally supported a Palestinian ‘state’ that was shorn of all sovereignty and under permanent Israeli control. At least now they’ve abandoned the pretense.’
Yousef Munayyer, head of Palestine/Isr…

US ambassador to Israel says US no longer pursuing goal of independent Palestinian state
Mike Huckabee suggested any future Palestinian state should be carved out of ‘a Muslim country’

The right wing threat and a viable future
A statement from Steady State Manchester Introduction With horror we see the electoral success of POX, The party of Xenophobes and Fascists (which, without irony, actually calls itself Reform UK1). In the May election round they gained 677 more councillors, took control of 8 councils, landed a regional Mayor and gained another MP, in a formerly safe Labour seat.

The right wing threat and a viable future
A statement from Steady State Manchester Introduction With horror we see the electoral success of POX, The party of Xenophobes and Fascists (which, without irony, actually calls itself Reform UK1).…

President Trump's spending bill could limit local control over zoning and environmental regulations for AI data centers, worrying state lawmakers (Molly Taft/Wired)
https://www.wired.com/story/a-political-battle-is-brewing-over-data-centers/…

A Political Battle Is Brewing Over Data Centers
An AI-related provision in the “Big Beautiful Bill” could restrict state-level legislation of energy-hungry data centers—and is raising bipartisan objections across the US.

State constrained stochastic optimal control of a PV system with battery storage via Fokker-Planck and Hamilton-Jacobi-Bellman equations
Alfredo Berm\'udez, Iago Pad\'in
https://arxiv.org/abs/2506.11765

State constrained stochastic optimal control of a PV system with battery storage via Fokker-Planck and Hamilton-Jacobi-Bellman equations
With the growing global emphasis on sustainability and the implementation of contemporary environmental policies, the penetration of renewable energy sources has significantly increased --primarily due to their inexhaustible nature. In this context, integrating photovoltaic (PV) modules with energy storage systems offers a means to mitigate the inherent variability of solar energy. This paper proposes an optimal methodology for power management and market bidding strategies tailored to PV power…

Wow. Yes. From a California district court:
“At this early stage of the proceedings, the Court must determine whether the President followed the congressionally mandated procedure for his actions. He did not. His actions were illegal—both exceeding the scope of his statutory authority and violating the Tenth Amendment to the United States Constitution. He must therefore return control of the California National Guard to the Governor of the State of California forthwith.” https://journa.host/@chrisgeidner/114673375048335011

Stark Tuning and Charge State Control in Individual Telecom C-Band Quantum Dots
N. J. Martin, A. J. Brash, A. Tomlinson, E. M. Sala, E. O. Mills, C. L. Phillips, R. Dost, L. Hallacy, P. Millington-Hotze, D. Hallett, K. A. O'Flaherty, J. Heffernan, M. S. Skolnick, A. M Fox, L. R. Wilson
https://arxiv.org/abs/2506.07951…

Stark Tuning and Charge State Control in Individual Telecom C-Band Quantum Dots
Telecom-wavelength quantum dots (QDs) are emerging as a promising solution for generating deterministic single-photons compatible with existing fiber-optic infrastructure. Emission in the low-loss C-band minimizes transmission losses, making them ideal for long-distance quantum communication. In this work, we present the first demonstration of both Stark tuning and charge state control of individual InAs/InP QDs operating within the telecom C-band. These QDs are grown by droplet epitaxy and emb…

This https://arxiv.org/abs/2506.02475 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Comba: Improving Nonlinear RNNs with Closed-loop Control
Recent efficient sequence modeling methods such as Gated DeltaNet, TTT, and RWKV-7 have achieved performance improvements by supervising the recurrent memory management through Delta learning rule. Unlike previous state-space models (e.g., Mamba) and gated linear attentions (e.g., GLA), these models introduce interactions between the recurrent state and the key vector, resulting in a nonlinear recursive structure. In this paper, we first introduce the concept of Nonlinear RNNs with a comprehens…

Robust quantification of the diamond nitrogen-vacancy center charge state via photoluminescence spectroscopy
Giannis Thalassinos, Daniel J. McCloskey, Alessandro Mameli, Alexander J. Healey, Charlie Pattinson, David Simpson, Brant C. Gibson, Alastair Stacey, Nikolai Dontschuk, Philipp Reineck
https://arxiv.org/abs/2506.05786

Robust quantification of the diamond nitrogen-vacancy center charge state via photoluminescence spectroscopy
Nitrogen vacancy (NV) centers in diamond are at the heart of many emerging quantum technologies, all of which require control over the NV charge state. Hence, methods for quantification of the relative photoluminescence (PL) intensities of the NV$^0$ and NV$^-$ charge state, i.e., a charge state ratio, are vital. Several approaches to quantify NV charge state ratios have been reported but are either limited to bulk-like NV diamond samples or yield qualitative results. We propose an NV charge st…

Sensitivity of Optimal Control Solutions and Quantities of Interest with Respect to Component Functions
Jonathan R. Cangelosi, Matthias Heinkenschloss
https://arxiv.org/abs/2506.10804

Sensitivity of Optimal Control Solutions and Quantities of Interest with Respect to Component Functions
This work establishes sensitivities of the solution of an optimal control problem (OCP) and a corresponding quantity of interest (QoI) to perturbations in a state/control-dependent component function that appears in the governing ODEs and the objective function. This extends existing OCP sensitivity results, which consider the sensitivity of the OCP solution with respect to state/control-independent parameters. It is shown that with Carathéodory-type assumptions, the Implicit Function Theorem …

Predicting function of evolutionarily implausible DNA sequences
Shiyu Jiang, Xuyin Liu, Zitong Jerry Wang
https://arxiv.org/abs/2506.10271 https://

Predicting function of evolutionarily implausible DNA sequences
Genomic language models (gLMs) show potential for generating novel, functional DNA sequences for synthetic biology, but doing so requires them to learn not just evolutionary plausibility, but also sequence-to-function relationships. We introduce a set of prediction tasks called Nullsettes, which assesses a model's ability to predict loss-of-function mutations created by translocating key control elements in synthetic expression cassettes. Across 12 state-of-the-art models, we find that mutation…

Eye-tracking-Driven Shared Control for Robotic Arms:Wizard of Oz Studies to Assess Design Choices
Anke Fischer-Janzen, Thomas M. Wendt, Daniel G\"orlich, Kristof Van Laerhoven
https://arxiv.org/abs/2505.23147

Eye-tracking-Driven Shared Control for Robotic Arms:Wizard of Oz Studies to Assess Design Choices
Advances in eye-tracking control for assistive robotic arms provide intuitive interaction opportunities for people with physical disabilities. Shared control has gained interest in recent years by improving user satisfaction through partial automation of robot control. We present an eye-tracking-guided shared control design based on insights from state-of-the-art literature. A Wizard of Oz setup was used in which automation was simulated by an experimenter to evaluate the concept without requir…

Model Predictive Control-Based Optimal Energy Management of Autonomous Electric Vehicles Under Cold Temperatures
Shanthan Kumar Padisala, Satadru Dey
https://arxiv.org/abs/2506.10221

Model Predictive Control-Based Optimal Energy Management of Autonomous Electric Vehicles Under Cold Temperatures
In autonomous electric vehicles (AEVs), battery energy must be judiciously allocated to satisfy primary propulsion demands and secondary auxiliary demands, particularly the Heating, Ventilation, and Air Conditioning (HVAC) system. This becomes especially critical when the battery is in a low state of charge under cold ambient conditions, and cabin heating and battery preconditioning (prior to actual charging) can consume a significant percentage of available energy, directly impacting the drivi…

This https://arxiv.org/abs/2409.03788 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

HSF: Defending against Jailbreak Attacks with Hidden State Filtering
With the growing deployment of LLMs in daily applications like chatbots and content generation, efforts to ensure outputs align with human values and avoid harmful content have intensified. However, increasingly sophisticated jailbreak attacks threaten this alignment, aiming to induce unsafe outputs. Current defense efforts either focus on prompt rewriting or detection, which are limited in effectiveness due to the various design of jailbreak prompts, or on output control and detection, which a…

Trump sent the National Guard to Los Angeles at a time when state and local officials said they had protests there under control.

The move reflects an increasingly evident pattern of his presidency:
Trump declares an emergency or crisis where many others do not see one,
enabling him to take sweeping actions,
rally supporters and fight on political terrain he finds favorable.

Trump’s declaration of an economic emergency in April enabled sweeping tariffs.
…

For Trump, seizing emergency powers has become central to governing
President Donald Trump has declared emergencies in various areas. He says strong action is needed; critics say the emergencies don’t exist.

Approximate Controllability Problems for the Heat Equation in a Half-Plane Controlled by the Dirichlet Boundary Condition with a Bounded Control
Larissa Fardigola, Kateryna Khalina
https://arxiv.org/abs/2506.10466

Approximate Controllability Problems for the Heat Equation in a Half-Plane Controlled by the Dirichlet Boundary Condition with a Bounded Control
In the paper, the problems of approximate controllability are studied for the control system $w_t=Δw$, $w(0,x_2,t)=u(x_2,t)$, $x_1\in\mathbb R_+=(0,+\infty)$, $x_2\in\mathbb R$, $t\in(0,T)$, where $u$ is a control belonging to a special subset of $L^\infty(\mathbb R\times (0,T))\cap L^2(\mathbb R\times (0,T))$. It is proved that each initial state belonging to $L^2(\mathbb R_+\times\mathbb R)$ is approximately controllable to an arbitrary end state belonging to $L^2(\mathbb R_+\times\mathbb R)…

Discrete vortex-based broadcast mode analysis for modification of dynamic stall
Het D. Patel (Department of Mechanical and Aerospace Engineering, North Carolina State University), Yi Tsung Lee (Department of Mechanical and Aerospace Engineering, North Carolina State University), Ashok Gopalarathnam (Department of Mechanical and Aerospace Engineering, North Carolina State University), Chi-An Yeh (Department of Mechanical and Aerospace Engineering, North Carolina State University)

Discrete vortex-based broadcast mode analysis for modification of dynamic stall
We integrate a discrete vortex method with complex network analysis to strategize dynamic stall mitigation over a pitching airfoil with active flow control. The objective is to inform actuator placement and timing to introduce control inputs during the transient evolution of dynamic stall. To this end, we represent the massively separated flow as a network of discrete vortical elements and quantify the interactions among these vortical nodes by tracking the spread of displacement perturbations …

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation
Or Tal, Felix Kreuk, Yossi Adi
https://arxiv.org/abs/2506.08570

Auto-Regressive vs Flow-Matching: a Comparative Study of Modeling Paradigms for Text-to-Music Generation
Recent progress in text-to-music generation has enabled models to synthesize high-quality musical segments, full compositions, and even respond to fine-grained control signals, e.g. chord progressions. State-of-the-art (SOTA) systems differ significantly across many dimensions, such as training datasets, modeling paradigms, and architectural choices. This diversity complicates efforts to evaluate models fairly and pinpoint which design choices most influence performance. While factors like data…

e-GAI: e-value-based Generalized $\alpha$-Investing for Online False Discovery Rate Control
Yifan Zhang, Zijian Wei, Haojie Ren, Changliang Zou
https://arxiv.org/abs/2506.01452

e-GAI: e-value-based Generalized $α$-Investing for Online False Discovery Rate Control
Online multiple hypothesis testing has attracted a lot of attention in many applications, e.g., anomaly status detection and stock market price monitoring. The state-of-the-art generalized $α$-investing (GAI) algorithms can control online false discovery rate (FDR) on p-values only under specific dependence structures, a situation that rarely occurs in practice. The e-LOND algorithm (Xu & Ramdas, 2024) utilizes e-values to achieve online FDR control under arbitrary dependence but suffers from …

Ground state exciton-polariton condensation by coherent Floquet driving
Alexander Kuznetsov, Ignacio Carraro-Haddad, Gonzalo Usaj, Klaus Biermann, Alejandro Fainstein, Paulo V. Santos
https://arxiv.org/abs/2506.05874

Ground state exciton-polariton condensation by coherent Floquet driving
The on-demand selective population transfer between states in multilevel quantum systems is a challenging problem with implications for a wide-range of physical platforms including photon and exciton-polariton Bose- Einstein condensates (BECs). Here, we introduce an universal strategy for this selective transfer based on a strong time-periodic energy modulation, which is experimentally demonstrated by using a GHz acoustic wave to control the gain and loss of confined modes of an exciton-polarit…

This https://arxiv.org/abs/2505.19887 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Deconstructing Obfuscation: A four-dimensional framework for evaluating Large Language Models assembly code deobfuscation capabilities
Large language models (LLMs) have shown promise in software engineering, yet their effectiveness for binary analysis remains unexplored. We present the first comprehensive evaluation of commercial LLMs for assembly code deobfuscation. Testing seven state-of-the-art models against four obfuscation scenarios (bogus control flow, instruction substitution, control flow flattening, and their combination), we found striking performance variations--from autonomous deobfuscation to complete failure. We…

This https://arxiv.org/abs/2307.08739 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Key Issues Review: Useful autonomous quantum machines
Controlled quantum machines have matured significantly. A natural next step is to increasingly grant them autonomy, freeing them from time-dependent external control. For example, autonomy could pare down the classical control wires that heat and decohere quantum circuits; and an autonomous quantum refrigerator recently reset a superconducting qubit to near its ground state, as is necessary before a computation. Which fundamental conditions are necessary for realizing useful autonomous quantum …

A space-time interface-fitted method for moving-subdomain distributed control problems with energy regularization
Quang Huy Nguyen, Phuong Cuc Hoang, Van Chien Le, Thi Thanh Mai Ta
https://arxiv.org/abs/2506.10924

A space-time interface-fitted method for moving-subdomain distributed control problems with energy regularization
This paper investigates a space-time interface-fitted approximation of a moving-interface optimal control problem with energy regularization. We reformulate the optimality conditions into a variational problem involving both the state and adjoint. This problem is shown to be equivalent to our optimal control problem. Based on fully unstructured, space-time interface-fitted meshes, we propose and analyze a Petrov-Galerkin approximation of the problem. An optimal error estimate with respect to a …

“Siloviki” is perhaps the most borrowed word in Russian studies
— probably because it explains so much about Putin’s Russia.
Its members are the police, the border control, the army, the security services, the spies.
For their service to the regime, they are rewarded with early pensions,
plenty of cash and almost total immunity from investigation for corruption or brutality.
In truth, the American security state, with its qualified immunity, surveillance appar…

Opinion | Here’s What’s Happening in America, in Six (Mostly) Russian Terms
To help Americans name their new reality, we wrote a phrase book of authoritarianism.

Adaptive Traffic-Following Scheme for Orderly Distributed Control of Multi-Vehicle Systems
Anahita Jain, Husni Idris, John-Paul Clarke, Daniel Delahaye
https://arxiv.org/abs/2506.00703

Adaptive Traffic-Following Scheme for Orderly Distributed Control of Multi-Vehicle Systems
We present an adaptive control scheme to enable the emergence of order within distributed, autonomous multi-agent systems. Past studies showed that under high-density conditions, order generated from traffic-following behavior reduces travel times, while under low densities, choosing direct paths is more beneficial. In this paper, we leveraged those findings to allow aircraft to independently and dynamically adjust their degree of traffic-following behavior based on the current state of the air…

Multi-mode cooling of a Bose-Einstein condensate with linear quantum feedback
Zain Mehdi, Matthew L. Goh, Matthew J. Blacker, Joseph J. Hope, Stuart S. Szigeti
https://arxiv.org/abs/2506.02377

Multi-mode cooling of a Bose-Einstein condensate with linear quantum feedback
We theoretically investigate measurement-based feedback control over the motional degrees of freedom of an oblate quasi-2D atomic Bose-Einstein condensate (BEC) subject to continuous density monitoring. We develop a linear-quadratic-Gaussian (LQG) model that describes the multi-mode dynamics of the condensate's collective excitations under continuous measurement and control. Crucially, the multi-mode cold-damping feedback control we consider uses a realistic state-estimation scheme that does no…

I'm supervising a group of six 3rd year BSc students in a project inspired by the paper "Responsibility Under Uncertainty: Which Climate Decisions Matter Most?" https://link.springer.com/article/10.1007/s10666-022-09867-w
The project description is availa…

This https://arxiv.org/abs/2309.14792 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Exploiting Local Observations for Robust Robot Learning
While many robotic tasks can be addressed through either centralized single-agent control with full state observation or decentralized multi-agent control, clear criteria for selecting the optimal approach are lacking. This paper presents a comprehensive investigation into how multi-agent reinforcement learning (MARL) with local observations can enhance robustness in complex robotic systems compared to traditional centralized control methods. We provide both theoretical analysis and empirical v…

Optimal quantum metrology under energy constraints
Longyun Chen, Yuxiang Yang
https://arxiv.org/abs/2506.09436 https://arxiv.org/pdf/…

Optimal quantum metrology under energy constraints
Quantum metrology promises enhanced precision in parameter estimation by exploiting quantum effects. The traditional framework of metrology commonly assumes unlimited access to resources, overlooking resource constraints in realistic scenarios. As such, the optimal strategies therein are often infeasible in practice. Here, we investigate quantum metrology where the total energy consumption of the probe state preparation, intermediate control operations, and the final measurement is subject to a…

Pattern-preserving optimal control problems with increasing time horizon
Matteo Della Rossa, Lorenzo Freddi
https://arxiv.org/abs/2506.09970 https://

Pattern-preserving optimal control problems with increasing time horizon
We establish a general framework that guarantees the preservation of optimal control patterns as the time horizon $[0,T]$ increases and becomes unbounded. A concept of pattern-preserving family of optimal control problems is introduced and the goal is achieved by analyzing the $Γ$-convergence of the corresponding variational formulations as $T\to\infty$. Special attention is given to scenarios involving state constraints. To illustrate the results, examples and applications are provided, with …

Electrically reconfigurable extended lasing state in an organic liquid-crystal microcavity
Dmitriy Dovzhenko (School of Physics and Astronomy, University of Southampton, Southampton, United Kingdom), Luciano Siliano Ricco (Science Institute, University of Iceland, Reykjavik, Iceland), Krzysztof Sawicki (School of Physics and Astronomy, University of Southampton, Southampton, United Kingdom), Marcin Muszy\'nski (Institute of Experimental Physics, Faculty of Physics, University of Wa…

Electrically reconfigurable extended lasing state in an organic liquid-crystal microcavity
Small-footprint, low-power arrays of coupled coherent emitters with the capability of near- and far-field engineering and coherence control are highly sought after to meet modern nanophotonics evolving needs. Between existing solutions based on vertical-cavity surface-emitting lasers, phase masks in bulk traditional cavity-based systems, and lattices of exciton-polariton condensates, only the strongly light-matter coupled systems were shown to be capable of controlled on-chip interaction betwee…

This https://arxiv.org/abs/2506.03430 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Two-Stage Bidirectional Inverter Equivalent Circuit Model for Distribution Grid Steady-State Analysis and Optimization
This paper presents a \textit{physics-based} steady-state equivalent circuit model of a two-stage bidirectional inverter. These inverters connect distributed energy resources (DERs), such as photovoltaic (PV) and battery systems, to distribution grids. Existing inverter models have technical gaps on three fronts: i) inadequate modeling of inverter losses, ii) use of mathematical abstractions for bidirectional flow of power, and iii) inability to integrate different control modes into nonlinear …

High-throughput polarization-independent spatial mode shaping with mode-selective photonic lanterns
Harikumar K Chandrasekharan, Ross Donaldson
https://arxiv.org/abs/2506.08595

High-throughput polarization-independent spatial mode shaping with mode-selective photonic lanterns
Coherent interference in multimode photonic systems offers a transformative approach for scalable, high-fidelity optical control, enabling precise beam shaping, efficient power delivery, and advanced signal processing through single-mode performance. Current techniques are often constrained to a single polarization state of light, system complexity, and the fabrication challenges associated with precise waveguide structures. Here, we present a high-efficiency coherent combination scheme employi…

Quantitative analysis of cell size control mechanisms
Shuqi Fan, Jinzhi Lei
https://arxiv.org/abs/2505.19416 https://arxiv.org/pdf/25…

Quantitative analysis of cell size control mechanisms
Cell size control is crucial for maintaining cellular function and homeostasis. In this study, we develop a first-order partial differential equation model to examine the effects of three key size control mechanisms: the sizer, timer, and adder. Each mechanism is incorporated into the model through distinct boundary conditions. Exact solutions for these mechanisms are derived using the method of characteristics, allowing us to explore how the steady-state size distribution depends on control pa…

This https://arxiv.org/abs/2505.20573 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Collision- and Reachability-Aware Multi-Robot Control with Grounded LLM Planners
Large language models (LLMs) have demonstrated strong performance in various robot control tasks. However, their deployment in real-world applications remains constrained. Even state-ofthe-art LLMs, such as GPT-o4mini, frequently produce invalid action plans that violate physical constraints, such as directing a robot to an unreachable location or causing collisions between robots. This issue primarily arises from a lack of awareness of these physical constraints during the reasoning process. T…

Data-Driven Nonlinear Regulation: Gaussian Process Learning
Telema Harry, Martin Guay, Shimin Wang, Richard D. Braatz
https://arxiv.org/abs/2506.09273 http…

Data-Driven Nonlinear Regulation: Gaussian Process Learning
This article addresses the output regulation problem for a class of nonlinear systems using a data-driven approach. An output feedback controller is proposed that integrates a traditional control component with a data-driven learning algorithm based on Gaussian Process (GP) regression to learn the nonlinear internal model. Specifically, a data-driven technique is employed to directly approximate the unknown internal model steady-state map from observed input-output data online. Our method does …

Classical Simulation of an All-Optical Toffoli Gate using Soliton Scattering through Asymmetric Potential Wells
Melih \"Ozkurt, \"Ozg\"ur E. M\"ustecapl{\i}o\u{g}lu
https://arxiv.org/abs/2506.06883

Classical Simulation of an All-Optical Toffoli Gate using Soliton Scattering through Asymmetric Potential Wells
We propose and numerically simulate an all-optical Toffoli (controlled-controlled-NOT) gate based on the scattering of spatial solitons by asymmetric Pöschl-Teller potential wells. In our scheme, the logical state of the target bit is encoded in the relative spatial ordering of two distinguishable soliton components, while the control bits are represented by the presence or absence of external potential wells. We solve the nonlinear Schrödinger equations governing the soliton dynamics and sys…

Cavity-mediated exciton hopping in a dielectrically engineered polariton system
Lukas Husel, Farsane Tabataba-Vakili, Johannes Scherzer, Lukas Krelle, Ismail Bilgin, Samarth Vadia, Kenji Watanabe, Takashi Taniguchi, Iacopo Carusotto, Alexander H\"ogele
https://arxiv.org/abs/2506.05561…

Cavity-mediated exciton hopping in a dielectrically engineered polariton system
Exciton-polaritons - coherently hybridized states of excitons and photons - are instrumental for solid-state nonlinear optics and quantum simulations. To enable engineered polariton energy landscapes and interactions, local control over the particle-like states can be achieved by tuning the properties of the exciton constituent. Monolayer transition metal dichalcogenides stand out in this respect, as they readily allow for a deterministic, flexible and scalable control of excitons, and thus of …

This https://arxiv.org/abs/2504.16571 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

LaSDVS : A Post-Quantum Secure Compact Strong-Designated Verifier Signature
Digital signatures are fundamental cryptographic primitives that ensure the authenticity and integrity of digital communication. However, in scenarios involving sensitive interactions -- such as e-voting or e-cash -- there is a growing need for more controlled signing mechanisms. Strong-Designated Verifier Signature (SDVS) offers such control by allowing the signer to specify and restrict the verifier of a signature. The existing state-of-the-art SDVS are mostly based on number-theoretic hardne…

excellent analysis of covid state of play
From Julia Doubleday.
"Each time a new wave crops up, the media scrambles to let the public know that COVID is spreading “again” ... But each time, it fails to inform the public that nearly half of COVID cases are asymptomatic, that COVID looks different in different patients, that vaccines do not prevent infections, that rapid tests have high false negative rates, and that COVID is fully airborne.
"Taken together, the virus I’m describing is much more difficult to control than the one the press presents. The press frames the virus as something that can be halted by familiarizing yourself with the symptoms, staying home once you feel sick and test positive, and avoided altogether by simply getting vaccinated or keeping ones’ distance from sick people. ...
"The misinformation that reigns in liberal spaces is not the result of accidental miscommunication. People don’t know that the virus is asymptomatic 40% of the time because there is simply no universe where that virus is controllable without an elimination strategy, or a day-to-day mitigation strategy."
#covid #misinformation #denial #CovidIsAirborne

Nonlinear Oscillatory Response of Automated Vehicle Car-following: Theoretical Analysis with Traffic State and Control Input Limits
Sixu Li, Yang Zhou
https://arxiv.org/abs/2505.24029

Nonlinear Oscillatory Response of Automated Vehicle Car-following: Theoretical Analysis with Traffic State and Control Input Limits
This paper presents a framework grounded in the theory of describing function (DF) and incremental-input DF to theoretically analyze the nonlinear oscillatory response of automated vehicles (AVs) car-following (CF) amidst traffic oscillations, considering the limits of traffic state and control input. While prevailing approaches largely ignore these limits (i.e., saturation of acceleration/deceleration and speed) and focus on linear string stability analysis, this framework establishes a basis …

This https://arxiv.org/abs/2308.13140 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization
Deep reinforcement learning (RL) excels in various control tasks, yet the absence of safety guarantees hampers its real-world applicability. In particular, explorations during learning usually results in safety violations, while the RL agent learns from those mistakes. On the other hand, safe control techniques ensure persistent safety satisfaction but demand strong priors on system dynamics, which is usually hard to obtain in practice. To address these problems, we present Safe Set Guided Stat…

Direct Integration of Recursive Gaussian Process Regression Into Extended Kalman Filters With Application to Vapor Compression Cycle Control
Ricus Husmann, Sven Weishaupt, Harald Aschemann
https://arxiv.org/abs/2506.06065

Direct Integration of Recursive Gaussian Process Regression Into Extended Kalman Filters With Application to Vapor Compression Cycle Control
This paper presents a real-time capable algorithm for the learning of Gaussian Processes (GP) for submodels. It extends an existing recursive Gaussian Process (RGP) algorithm which requires a measurable output. In many applications, however, an envisaged GP output is not directly measurable. Therefore, we present the integration of an RGP into an Extended Kalman Filter (EKF) for the combined state estimation and GP learning. The algorithm is successfully tested in simulation studies and outperf…

This https://arxiv.org/abs/2408.11978 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Optimized Kalman Filter based State Estimation and Height Control in Hopping Robots
Rotor-based hopping locomotion significantly improves efficiency and operation time as compared to purely flying systems; where most hopping robots use the liftoff states and an assumed ballistic trajectory to determine the hopping height. However, significant aerial phase force (e.g., thrust and drag) can invalidate this assumption and lead to poor estimation performance. To combat this issue, a group has implemented multiple sensors (active and passive optical, inertial, and contact) and sign…

This https://arxiv.org/abs/2404.07945 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Existence of Optimal Stationary Singular Controls and Mean Field Game Equilibria
In this paper, we examine the stationary relaxed singular control problem within a multi-dimensional framework for a single agent, as well as its mean field game equivalent. We demonstrate that optimal relaxed controls exist for two problem classes: one driven by queueing control and the other by harvesting models. These relaxed controls are defined by random measures across the state and control spaces, with the state process described as a solution to the associated martingale problem. By lev…

Variational-Adiabatic Quantum Solver for Systems of Linear Equations with Warm Starts
Claudio Sanavio, Fabio Mascherpa, Alessia Marruzzo, Alfonso Amendola, Sauro Succi
https://arxiv.org/abs/2505.24285

Variational-Adiabatic Quantum Solver for Systems of Linear Equations with Warm Starts
We propose a revisited variational quantum solver for linear systems, designed to circumvent the barren plateau phenomenon by combining two key techniques: adiabatic evolution and warm starts. To this end, we define an initial Hamiltonian with a known ground state which is easily implemented on the quantum circuit, and then "adiabatically" evolve the Hamiltonian by tuning a control variable in such a way that the final ground state matches the solution to the given linear system. This evolution…

A comparative study of focusing with scalar and vector beams in an active Raman gain system
Partha Das, Tarak Nath Dey
https://arxiv.org/abs/2506.05093 htt…

A comparative study of focusing with scalar and vector beams in an active Raman gain system
We investigate the focusing characteristics of scalar and vector beams within an atomic medium. An active-Raman-gain configuration is employed to achieve significant Kerr nonlinearity in a four-state atomic system. The probe beams can attain focusing within the medium through careful selection of input beam intensities and the spatial profile of the control field. We analytically derive the linear and third-order nonlinear susceptibilities for both scalar and vector probe beams. Our observation…

Two-Stage Bidirectional Inverter Equivalent Circuit Model for Distribution Grid Steady-State Analysis and Optimization
Emmanuel O. Badmus, Amritanshu Pandey
https://arxiv.org/abs/2506.03430

Two-Stage Bidirectional Inverter Equivalent Circuit Model for Distribution Grid Steady-State Analysis and Optimization
This paper presents a \textit{physics-based} steady-state equivalent circuit model of a two-stage bidirectional inverter. These inverters connect distributed energy resources (DERs), such as photovoltaic (PV) and battery systems, to distribution grids. Existing inverter models have technical gaps on three fronts: i) inadequate modeling of inverter losses, ii) use of mathematical abstractions for bidirectional flow of power, and iii) inability to integrate different control modes into nonlinear …

This https://arxiv.org/abs/2209.09443 has been replaced.
link: https://scholar.google.com/scholar?q=a

Cryogenic in-memory computing using magnetic topological insulators
Machine learning algorithms have been proven effective for essential quantum computation tasks such as quantum error correction and quantum control. Efficient hardware implementation of these algorithms at cryogenic temperatures is essential. Here, we utilize magnetic topological insulators as memristors (termed magnetic topological memristors) and introduce a cryogenic in-memory computing scheme based on the coexistence of the chiral edge state and the topological surface state. The memristive…

Neural Network-based Universal Formulas for Control
Pol Mestres, Jorge Cort\'es, Eduardo D. Sontag
https://arxiv.org/abs/2505.24744 https://

Neural Network-based Universal Formulas for Control
We study the problem of designing a controller that satisfies an arbitrary number of affine inequalities at every point in the state space. This is motivated by the use of guardrails in autonomous systems. Indeed, a variety of key control objectives, such as stability, safety, and input saturation, are guaranteed by closed-loop systems whose controllers satisfy such inequalities. Many works in the literature design such controllers as the solution to a state-dependent quadratic program (QP) who…

This https://arxiv.org/abs/2506.01755 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Data-assimilated model-informed reinforcement learning
The control of spatio-temporally chaos is challenging because of high dimensionality and unpredictability. Model-free reinforcement learning (RL) discovers optimal control policies by interacting with the system, typically requiring observations of the full physical state.In practice, sensors often provide only partial and noisy measurements (observations) of the system. The objective of this paper is to develop a framework that enables the control of chaotic systems with partial and noisy obse…

OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis
Junting Chen, Haotian Liang, Lingxiao Du, Weiyun Wang, Mengkang Hu, Yao Mu, Wenhai Wang, Jifeng Dai, Ping Luo, Wenqi Shao, Lin Shao
https://arxiv.org/abs/2506.04217

OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis
The rapid progress of navigation, manipulation, and vision models has made mobile manipulators capable in many specialized tasks. However, the open-world mobile manipulation (OWMM) task remains a challenge due to the need for generalization to open-ended instructions and environments, as well as the systematic complexity to integrate high-level decision making with low-level robot control based on both global scene understanding and current agent state. To address this complexity, we propose a …

This https://arxiv.org/abs/2407.13257 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Predictive control for nonlinear stochastic systems: Closed-loop guarantees with unbounded noise
We present a stochastic model predictive control framework for nonlinear systems subject to unbounded process noise with closed-loop guarantees. First, we provide a conceptual shrinking-horizon framework that utilizes general probabilistic reachable sets and minimizes the expected cost. Then, we provide a tractable receding-horizon formulation that uses a nominal state to minimize a deterministic quadratic cost and satisfy tightened constraints. Our theoretical analysis demonstrates recursive f…

This https://arxiv.org/abs/2208.11392 has been replaced.
link: https://scholar.google.com/scholar?q=a

Data-driven stabilization of switched and constrained linear systems
We consider the design of state feedback control laws for both the switching signal and the continuous input of an unknown switched linear system, given past noisy input-state trajectories measurements. Based on Lyapunov-Metzler inequalities, we derive data-dependent bilinear programs whose solution directly returns a provably stabilizing controller and ensures $\mathcal{H}_2$ or $\mathcal{H}_{\infty}$ performance. We further present relaxations that considerably reduce the computational cost, …

Data-assimilated model-informed reinforcement learning
Defne E. Ozan, Andrea N\'ovoa, Georgios Rigas, Luca Magri
https://arxiv.org/abs/2506.01755 https…

Data-assimilated model-informed reinforcement learning
The control of spatio-temporally chaos is challenging because of high dimensionality and unpredictability. Model-free reinforcement learning (RL) discovers optimal control policies by interacting with the system, typically requiring observations of the full physical state.In practice, sensors often provide only partial and noisy measurements (observations) of the system. The objective of this paper is to develop a framework that enables the control of chaotic systems with partial and noisy obse…

This https://arxiv.org/abs/2504.18791 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Nonconvex Linear System Identification with Minimal State Representation
Low-order linear System IDentification (SysID) addresses the challenge of estimating the parameters of a linear dynamical system from finite samples of observations and control inputs with minimal state representation. Traditional approaches often utilize Hankel-rank minimization, which relies on convex relaxations that can require numerous, costly singular value decompositions (SVDs) to optimize. In this work, we propose two nonconvex reformulations to tackle low-order SysID (i) Burer-Monterio…

Latent Representations for Control Design with Provable Stability and Safety Guarantees
Paul Lutkus, Kaiyuan Wang, Lars Lindemann, Stephen Tu
https://arxiv.org/abs/2505.23210

Latent Representations for Control Design with Provable Stability and Safety Guarantees
We initiate a formal study on the use of low-dimensional latent representations of dynamical systems for verifiable control synthesis. Our main goal is to enable the application of verification techniques -- such as Lyapunov or barrier functions -- that might otherwise be computationally prohibitive when applied directly to the full state representation. Towards this goal, we first provide dynamics-aware approximate conjugacy conditions which formalize the notion of reconstruction error necessa…

This https://arxiv.org/abs/2505.11077 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

LLM-Enhanced Symbolic Control for Safety-Critical Applications
Motivated by Smart Manufacturing and Industry 4.0, we introduce a framework for synthesizing Abstraction-Based Controller Design (ABCD) for reach-avoid problems from Natural Language (NL) specifications using Large Language Models (LLMs). A Code Agent interprets an NL description of the control problem and translates it into a formal language interpretable by state-of-the-art symbolic control software, while a Checker Agent verifies the correctness of the generated code and enhances safety by i…

This https://arxiv.org/abs/2303.00847 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Analysis of Four-Dimensional Variational Data Assimilation Problems in Low Regularity Spaces
We carry out a rigorous analysis of four-dimensional variational data assimilation ($4D$-VAR) problems for linear and semilinear parabolic partial differential equations. Continuity of the state with respect to the spatial variable is required since pointwise observations of the state variable appear in the cost functional. Using maximal parabolic regularity tools, we prove this regularity for initial conditions with $L^β$-regularity guaranteed by control constraints, rather than Sobolev regul…

This https://arxiv.org/abs/2503.14372 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Online ResNet-Based Adaptive Control for Nonlinear Target Tracking
A generalized ResNet architecture for adaptive control of nonlinear systems with black box uncertainties is developed. The approach overcomes limitations in existing methods by incorporating pre-activation shortcut connections and a zeroth layer block that accommodates different input-output dimensions. The developed Lyapunov-based adaptation law establishes exponential convergence to a neighborhood of the target state despite unknown dynamics and disturbances. Furthermore, the theoretical resu…

This https://arxiv.org/abs/2303.00847 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Analysis of Four-Dimensional Variational Data Assimilation Problems in Low Regularity Spaces
We carry out a rigorous analysis of four-dimensional variational data assimilation ($4D$-VAR) problems for linear and semilinear parabolic partial differential equations. Continuity of the state with respect to the spatial variable is required since pointwise observations of the state variable appear in the cost functional. Using maximal parabolic regularity tools, we prove this regularity for initial conditions with $L^β$-regularity guaranteed by control constraints, rather than Sobolev regul…

Robust Aperiodic Sampled-Data Washout Control for Uncertain Affine Systems
Folco Giorgetti, Francesco Crocetti, Mario Luca Fravolini, Francesco Ferrante
https://arxiv.org/abs/2505.23534

Robust Aperiodic Sampled-Data Washout Control for Uncertain Affine Systems
In this paper, we address the problem of designing an aperiodic sampled-data controller stabilizing the zero-input equilibrium of an uncertain affine plant. The closed-loop system is modeled as a hybrid dynamical system incorporating a timer triggering the occurrence of the sampling events and two memory states storing the value of the controller state and controller output at each sampling time. Necessary and sufficient conditions on the controller parameters are given to establish the sought …