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作者：Ji, Ruihang; Ge, Shuzhi Sam
作者单位：National University of Singapore
摘要：Although numerous studies on event-trigger consensus control exist, it remains an open problem in addressing communication bit efficiency and security concerns for multiagent systems (MASs) with mismatched uncertainties. This article proposes a novel encryption-decryption communication protocol codesigned with a state-trigger condition such that only an encrypted finite-level codeword is transmitted among neighbors when specific conditions are met. It economizes the communication bandwidth usa...
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作者：Li, Huiming; Chen, Hao; Wang, Xiangke; Li, Zhongkui; Shen, Lincheng
作者单位：National University of Defense Technology - China; Peking University
摘要：In affine formation control problems, the construction of the framework with universal rigidity and affine localizability is a critical prerequisite, but it has not yet been well addressed, especially when additional agents join the formation or link/agent failures emerge. Motivated by this observation, we investigate the problem of constructing affine frameworks in three scenarios, including vertex addition, edge deletion, and vertex deletion. Our approach starts from the original affine form...
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作者：Sonveaux, Candy; Prieur, Christophe; Besancon, Gildas; Winkin, Joseph J.
作者单位：University of Namur; University of Namur; Centre National de la Recherche Scientifique (CNRS); Communaute Universite Grenoble Alpes; Universite Grenoble Alpes (UGA); Institut National Polytechnique de Grenoble
摘要：This article deals with control of an epidemic on the basis of an age-dependent susceptible-infected-recovered-deceased model and an appropriate immunization strategy. Initially, the well-posedness and the stability of the open-loop system are examined, and it is shown that nonnegative control laws reduce the peak number of infections. The use of a high gain observer is then proposed to ensure the possible implementation of any kind of such feedback law, showing that the stability of the resul...
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作者：Li, Ming; Wang, Zhaojian; Liu, Feng; Cao, Ming; Yang, Bo
作者单位：Shanghai Jiao Tong University; Tsinghua University; Tsinghua University; University of Groningen
摘要：The scheme of online optimization as a feedback controller is widely used to steer the states of a physical system to the optimal solution of a predefined optimization problem. Such methods focus on the optimality in the steady state, without considering the performance during the transient process. In this article, we simultaneously consider the performance in both the steady state and the transient process of a linear time-invariant system with unknown disturbances. The performance of the tr...
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作者：Yang, Yanhua; Mei, Jie; Shi, Xiongtao; Ma, Guangfu
作者单位：Harbin Institute of Technology; Harbin Institute of Technology
摘要：The complexity of multiagent systems poses challenges in containment control, especially with fully heterogeneous agents influenced by multiple leaders. Traditional methods rely on continuous communication, global information, or homogeneous dynamics, limiting real-world applicability. In this article, a model-free reinforcement learning (RL)-based fully distributed event-triggered control (ETC) framework is proposed. First, an integrated ETC framework is designed for directed graphs, allowing...
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作者：Zhan, Sikang; Li, Xianwei; Li, Shaoyuan
作者单位：Shanghai Jiao Tong University; Shanghai Jiao Tong University
摘要：Ensuring positive minimum inter-event times (MIETs) is of practical importance in event-triggered control. For multi-agent coordination, although it is widely known that dynamic event-triggered (DET) mechanisms are advantageous in saving communication resources, the existence of positive MIETs has not yet been theoretically established for DET mechanisms. Focusing on the consensus problem of linear multi-agent systems, this article formally proves that DET mechanisms can ensure positive MIETs....
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作者：Shali, Brayan M.; van der Schaft, Arjan J.; Besselink, Bart
作者单位：University of Groningen; KU Leuven
摘要：We present assume-guarantee contracts as specifications for the dynamic behavior of linear dynamical systems with inputs and outputs. We define and characterize contract implementation using the notion of simulation as a means of comparing system behavior. We show that contract implementation can be verified by using the computationally tractable numerical procedures for verifying simulation. We then consider two problems related to contract-based design. First, we consider the problem of cons...
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作者：Wei, Jinyuan; Zhou, Jing; Chen, Tongwen
作者单位：University of Alberta; Central South University
摘要：This note investigates the worst-case performance of multisensor remote estimation compromised by integrity attacks. In addition to the residual-based chi(2) detector commonly deployed for unreliable sensors, the reliability of certain sensors allows for a second detector to be applied sequentially. This enhanced detection mechanism imposes stricter stealthiness constraints on integrity attacks, thereby increasing the complexity of vulnerability analysis. To characterize the maximum degradatio...
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作者：Anderson, Brendon G.; Li, Jingqi; Sojoudi, Somayeh; Arcak, Murat
作者单位：California State University System; California Polytechnic State University San Luis Obispo; University of California System; University of California Berkeley
摘要：In this article, we consider evolutionary dynamics for population games in which players have a continuum of strategies at their disposal. Models in this setting amount to infinite-dimensional differential equations evolving on the manifold of probability measures. We generalize dissipativity theory for evolutionary games from finite to infinite strategy sets that are compact metric spaces, and derive sufficient conditions for the stability of Nash equilibria under the infinite-dimensional dyn...
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作者：Griffis, Emily J.; Patil, Omkar Sudhir; Makumi, Wanjiku A.; Dixon, Warren E.
作者单位：State University System of Florida; University of Florida
摘要：Unlike traditional feedforward neural networks, recurrent neural networks (RNNs) possess a recurrent connection that allows them to retain past information. This internal memory enables RNNs to effectively model and capture time-varying and accumulative effects observed in dynamic systems, which cannot be achieved by static feedforward neural networks, making RNNs more suitable for tasks, such as state estimation and output feedback (OFB) control. Motivated by the dynamic behavior of RNNs, thi...
