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作者：Chen, Jianqi; Mao, Qi; Zhao, Di; Chen, Chao
作者单位：Nanjing University; Nanjing Normal University; Tongji University; Tongji University; KU Leuven
摘要：This study first explores the mean-square robust stability problem of stable continuous-time linear time-invariant systems subject to stochastic multiplicative uncertainties with prescribed variance bounds. The internal structures of uncertainties, however, are not presumed to cope with diverse random noises and errors arising from networked channels. A necessary and sufficient mean-square stability condition is obtained involving a novel small-gain type characterization. Next, we consider the...
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作者：Grimaldi, Riccardo A.; Astolfi, Alessandro
作者单位：University of Padua; Imperial College London; University of Rome Tor Vergata
摘要：A novel technique to solve optimal control problems with state constraints is proposed. We exploit the theory of exact penalty functions, used in mathematical programming, to construct a systematic procedure to transform two classes of problems with state constraints to equivalent penalized unconstrained problems. We focus on a special class of systems with as many states as controls and subject to a set of equality constraints, which reduces the control authority, both in the case of linear a...
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作者：Massicot, Olivier; Langbort, Cedric
作者单位：University of Illinois System; University of Illinois Urbana-Champaign
摘要：In this article, we relax the Bayesianity assumption in the now-traditional model of Bayesian persuasion introduced by Kamenica and Gentzkow. Unlike preexisting approaches-which have tackled the possibility of the receiver (Bob) being non-Bayesian by considering that his thought process is not Bayesian yet known to the sender (Alice), possibly up to a parameter-we let Alice merely assume that Bob behaves almost like a Bayesian agent, in some sense, without resorting to any specific model. Unde...
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作者：Muthirayan, Deepan; Kalathil, Dileep; Khargonekar, Pramod P.
作者单位：Texas A&M University System; Texas A&M University College Station
摘要：In this article, we consider the problem of finding a meta-learning online control algorithm that can learn across the tasks when faced with a sequence of N (similar) control tasks. Each task involves controlling a linear dynamical system for a finite horizon of T time steps. The cost function and system noise at each time step are adversarial and unknown to the controller before taking the control action. Meta-learning is a broad approach where the goal is to prescribe an online policy for an...
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作者：Li, Hanfeng; Li, Min
作者单位：Shandong University; Shandong University
摘要：In this article, we propose a dynamic gain method to solve the event-triggered output feedback tracking control problem of uncertain strict-feedback nonlinear systems subject to input quantization. The nonlinear terms admit an incremental rate depending on an unknown constant and an output polynomial function. Two configurations of the event-triggered quantized controller are presented, namely, quantization after triggering and quantization before triggering. Based on the dynamic scaling trans...
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作者：Li, Kuo; Ding, Steven X.; Hua, Changchun; Li, Yafeng; Yang, Yana
作者单位：Yanshan University; University of Duisburg Essen
摘要：This article explores the distributed leader-following consensus control problem of nonlinear multiagent systems subject to stochastic output sensing noises under a fixed directed topology. Different from existing research, we pay attention to the effect of multiplicative stochastic noises on the sensors, and the noise intensity can be described as an unknown time-varying function with an arbitrarily large bound. In this condition, we put forward the noise intensity classification-based distri...
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作者：Sahan, Gokhan; Trenn, Stephan
作者单位：Izmir Institute of Technology; Izmir Institute of Technology; University of Groningen
摘要：This study addresses the deficiencies in the assumptions of the results in (Chen and Yang, 2017) due to the lack of uniformity. We first show the missing hypothesis by presenting a counterexample. Then, we prove why they are wrong in that form and show the errors in the proof of the main result of (Chen and Yang, 2017). Next, we compare the assumptions and related results of (Chen and Yang, 2017) with similar works in the literature. Lastly, we give suggestions to complement the shortcomings o...
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作者：Zhang, Cui-Hua; Li, Yu-Jia; Hua, Chang-Chun; Sun, Zong-Yao; Zhang, Ying
作者单位：Yanshan University; Qufu Normal University
摘要：This article solves the problem of prescribed-time (PT) prescribed-performance tracking for a class of nonlinear systems with nonvanishing uncertainties based on a finite-time command filter (FTCF). To deal with nonvanishing uncertainties, a novel PT stabilization criterion that incorporates an adaptive method is proposed and a compensation mechanism is established to reduce the errors caused by FTCF, where the parameter adaptive estimation error achieves asymptotically zero convergence. Based...
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作者：Huang, Feng; Cao, Ming; Wang, Long
作者单位：Peking University; University of Groningen
摘要：In stochastic dynamic environments, multiagent Markov decision processes have emerged as a versatile paradigm for studying sequential decision-making problems of fully cooperative multiagent systems. However, the optimality of the derived policies is usually sensitive to model parameters, which are typically unknown and required to be estimated from noisy data in practice. To investigate the sensitivity of optimal policies to these uncertain parameters, we study a robust stochastic control pro...
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作者：Gao, Weinan; Jiang, Zhong-Ping; Chai, Tianyou
作者单位：Northeastern University - China; New York University; New York University Tandon School of Engineering
摘要：In this article, a new framework for the resilient control of continuous-time linear systems under denial-of-service (DoS) attacks and system uncertainty is presented. Integrating techniques from reinforcement learning and output regulation theory, it is shown that resilient optimal controllers can be learned directly from real-time state and input data collected from the systems subjected to attacks. Sufficient conditions are given under which the closed-loop system remains stable given any u...
