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20 results for “Control theory”

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math.OCcs.LGcs.MATheoreticalRecentJul 1, 2026

Mean Field Reinforcement Learning

René Carmona, Mathieu Laurière

This paper introduces mean field reinforcement learning through Markov decision processes in large-population stochastic control, developing the necessary framework for representative-agent learning,…

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cs.AIcs.LGecon.THRecentMay 31, 2026

Prospect-Theory Behavior from Bellman Optimality in MDPs with Catastrophic States

Yujiao Chen

This paper shows that standard optimal control in Markov Decision Processes (MDPs) with an absorbing catastrophic state naturally generates behavioral signatures mimicking prospect theory, even withou…

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eess.SYcs.MAmath.OCTheoreticalRecentJun 22, 2026

Welfarist Control Design -- How to fulfill the societal mandate in multi-agent control?

Sophie Hall, Kai Zhang, Ilia Shilov, Heinrich H. Nax +1 more

This paper explores tools for control engineers to design socio-technical systems in a more principled and ethical manner, using feedback optimization, control of Markov decision processes, and model…

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cs.OSTheoreticalRecentOct 19, 2026

Comments Paper: Counterexample for Schedulability Analysis for Self-Suspending Tasks under EDF-Like Scheduling

Michael Frichert, Mario Günzel, Marion Sudvarg, Jian-Jia Chen

This paper provides a counterexample to a previous schedulability test and shows it is unsound.

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math.OCcs.LGcs.NETheoreticalRecentJun 12, 2026

Operator Calculus for Population-Based Optimization: A Mean-Field Convergence Theory

Pekka Malo, Lauri Viitasaari, Patrik Nummi, Antti Suominen +2 more

The paper introduces an operator calculus for population-based optimization methods, establishing a modular Lyapunov principle for their convergence analysis.

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eess.SYcs.ROTheoreticalRecentJul 19, 2026

Optimal Safety Control using High-Order Control Barrier Functions

Neng Li, Zuodong Pan, Jiaxing Wang, Weiguo Xia +1 more

This paper proposes novel high-order control barrier functions and a high-order control Lyapunov function for the optimal safety control problem of nonlinear control systems.

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math.OCcs.AIcs.LGEmpiricalRecentJun 18, 2026

Robust $Q$-learning for mean-field control under Wasserstein uncertainty in common noise

Mathieu Laurière, Ariel Neufeld, Kyunghyun Park

The paper presents a robust Q-learning algorithm for discrete-time mean-field control problems under Wasserstein uncertainty.

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eess.SYcs.MAmath.OCTheoreticalRecentJul 21, 2026

How network perturbations distort agreement trajectories in LTI multi-agent systems

Gal Barkai, Irinel-Constantin Morărescu

This paper investigates how network perturbations can alter the asymptotic agreement trajectory in distributed coordination systems, proving fragility in standard cooperative output regulation schemes…

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math.FAcs.CCTheoreticalRecentOct 24, 2026

A Borsuk-Ulam theorem for adaptive continuous measurements

Mario Ullrich

The paper proves a Borsuk-Ulam theorem for adaptive measurements and provides a bound on the number of measurements needed to learn vectors in a ball in R^m.

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math.OCcs.MAeess.SYTheoreticalRecentJun 18, 2026

Semiglobal Input-Delay Tolerance Algorithm for Distributed Nonconvex Optimization of Networked Nonlinear Systems

Jing-Zhe Xu, Zhi-Wei Liu, Ming-Feng Ge, Yan-Wu Wang +1 more

A new algorithm is developed for distributed optimization in networked nonlinear systems with input delays and consensus constraints.

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math.PRcs.DMcs.FLTheoreticalRecentJun 28, 2026

Note on Finite-Automata Bernoulli Factories for Rational Functions

Renato Paes Leme, Jon Schneider

This paper identifies a technical oversight in Mossel and Peres (2005) theorem on designing Bernoulli factories for multivariable functions and provides a counterexample.

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cs.CReess.SYMay 14, 2026

On the (non-)resilience of encrypted controllers to covert attacks

Philipp Binfet, Janis Adamek, Moritz Schulze Darup

The paper demonstrates that standard homomorphic encryption (HE) schemes are insufficient to guarantee integrity in networked control systems (NCS) against covert attacks, proposing instead a verifiab…

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cs.NITheoreticalRecentJul 21, 2026

Online Stochastic Matchings: Stability on Hypergraphs

Fabien Mathieu

This paper characterizes stabilizability of stochastic dynamic matching on hypergraphs using the arrival rates and incidence matrix, and proposes a stabilizing policy.

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eess.SPEmpiricalRecentJun 24, 2026

Networked Control System Under Controller-Actuator Channel Jamming

Chen Quan, Geethu Joseph, Gourab Ghatak

This paper investigates jamming attacks on wireless control systems and develops a defense scheme to counter them.

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