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作者：Ammari, O.; Giri, F.; Krstic, M.; Benabdelhadi, A.; Chaoui, F. Z.; El Majdoub, K.
作者单位：Hassan II University of Casablanca; Universite de Caen Normandie; University of California System; University of California San Diego; Mohammed V University in Rabat
摘要：In this article, we consider the problem of observer design for heat diffusion-reaction partial differential equations (PDEs) that are monitored through delayed boundary sensor measurements. The novelty with respect to the existing observers lies in the fact that the PDE is subject to parameter uncertainties coming not only in the domain but also in the sensor. We develop an adaptive observer that provides online accurate estimates of both the state and parameter estimates. The observer design...
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作者：Gadginmath, Darshan; Krishnan, Vishaal; Pasqualetti, Fabio
作者单位：University of California System; University of California Riverside; Harvard University
摘要：This article contributes a theoretical framework for data-driven feedback linearization of nonlinear control-affine systems. We unify the traditional geometric perspective on feedback linearization with an operator-theoretic perspective involving the Koopman operator. We first show that if the distribution of the control vector field and its repeated Lie brackets with the drift vector field is involutive, then there exists an output and a feedback control law for which the Koopman generator is...
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作者：Li, Yifei; Liu, Wenjie; Wang, Gang; Sun, Jian; Xie, Lihua; Chen, Jie
作者单位：Beijing Institute of Technology; Nanyang Technological University; Tongji University
摘要：This article proposes a novel approach to address the output synchronization problem for unknown heterogeneous multiagent systems (MASs) using noisy data. Unlike existing studies that focus on noiseless data, we introduce a distributed data-driven controller that enables all heterogeneous followers to synchronize with a leader's output trajectory. To handle the noise in the state-input-output data, we develop a data-based polytopic representation for the MAS. We tackle the issue of infeasibili...
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作者：Cui, Xiangyu; Gao, Jianjun; Kong, Lingjie; Shi, Yun
作者单位：Shanghai University of Finance & Economics; Shanghai University of Finance & Economics; Shanghai University of Finance & Economics; Shanghai University of Finance & Economics; East China Normal University
摘要：This study addresses limited attention allocation in a stochastic linear quadratic system with multiplicative noise. Our approach enables strategic resource allocation to enhance noise estimation and improve control decisions. We provide an analytical optimal control and propose a numerical method for optimal attention allocation.
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作者：Griffioen, Paul; Krogh, Bruce H.; Sinopoli, Bruno
作者单位：University of California System; University of California Berkeley; Carnegie Mellon University; Washington University (WUSTL)
摘要：This article provides a tool for analyzing mechanisms that aim to achieve resilience against stealthy, or undetectable, attacks on cyber-physical systems. We consider attackers who are able to corrupt all of the inputs and outputs of the system. To counter such attackers, a response scheme must be implemented that keeps the attacker from corrupting the inputs and outputs of the system for certain periods of time. To aid in the design of such a response scheme, our tool provides sufficient leng...
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作者：Kim, Jin Won; Mehta, Prashant G.
作者单位：University of Potsdam; University of Illinois System; University of Illinois Urbana-Champaign
摘要：This article is concerned with the problem of nonlinear (stochastic) filter stability for a hidden Markov model (HMM) with white noise observations. A contribution is the variance decay property, which is used to conclude filter stability. For this purpose, a new notion of the Poincar & eacute; inequality (PI) is introduced for the nonlinear filter. PI is related to both the ergodicity of the Markov process and the observability of the HMM. The proofs are based upon a recently discovered minim...
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作者：Wang, Shimin; Guay, Martin; Braatz, Richard D.
作者单位：Massachusetts Institute of Technology (MIT); Queens University - Canada
摘要：This study proposes a design technique that solves a robust output regulation problem for a class of nonlinear systems subject to unknown control direction. Nussbaum function techniques are commonly used tools to investigate output regulation problems for various systems subject to unknown control direction. They often lead to large overshoots when the initial estimates of the control direction are wrong. In this study, an extremum-seeking control approach is proposed to overcome the need for ...
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作者：Xu, Jiapeng; Chen, Xiang; Tan, Ying; Gu, Guoxiang
作者单位：University of Windsor; University of Melbourne; Louisiana State University System; Louisiana State University
摘要：This work addresses a class of robust mean-field games for large-population multiagent systems, where each agent has access only to partial observations and is subject to an unknown bounded disturbance input. Unlike the existing literature in which formulated robust mean-field games are minimax problems, this work formulates a nonworst-case game problem and proposes a complementary control strategy with a decoupled design of mean-field tracking and robustness. A neat state-space realization fo...
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作者：Casau, Pedro; Sanfelice, Ricardo G.; Silvestre, Carlos
作者单位：Universidade de Aveiro; Universidade de Aveiro; University of California System; University of California Santa Cruz; University of Macau; Universidade de Lisboa
摘要：Synergistic hybrid feedback refers to a collection of feedback laws that allow for the global asymptotic stabilization of a compact set through the following switching logic: given a collection of Lyapunov functions that are indexed by a logic variable, whenever the currently selected Lyapunov function exceeds the value of another function in the collection by a given margin, then a switch to the corresponding feedback law is triggered. This kind of feedback has been under development over the...
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作者：Zhu, Fanglai; Li, Mingwei
作者单位：Tongji University
摘要：Recently, distributed observer designs have been investigated intensively, but the distributed unknown input observer (DUIO) which can offer the asymptotic convergent estimations of both the states and the unknown inputs (UIs) has not been developed yet. In this article, we come up with a novel DUIO design method through a distributed interval observer (DIO) for a system with UI, and each sensor with measurement noise. First, by introducing an auxiliary output, the local system is transformed ...
