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作者：Meng, Qingtan; Ma, Qian; Wen, Changyun
作者单位：Nanjing University of Science & Technology; Nanyang Technological University
摘要：This article investigates the global stabilization problem for a family of nonlinear systems in nonstrict feedback form with mismatched parametric uncertainties. In the problem, both input and state signals are compressed by sector bounded quantizers, while state quantization makes the differentiation-based recursive backstepping design unsuitable. A novel adaptive quantized control scheme is proposed by constructing an on-line gain tuning mechanism, which not only overcomes the difficulty in ...
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作者：Van Over, Brandon; Li, Bowen; Chong, Edwin K. P.; Pezeshki, Ali
作者单位：Colorado State University System; Colorado State University Fort Collins
摘要：In this article, we present a simple performance bound for the greedy scheme in string optimization problems. Our approach generalizes the family of greedy curvature bounds established by Conforti and Cornuejols (1984). Specifically, we examine three bounds they introduced for evaluating the performance of the greedy scheme in maximizing monotone submodular set functions. We first generalize two of these bounds to string optimization problems in a manner that includes maximizing monotone submo...
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作者：Wang, Han; Margellos, Kostas; Papachristodoulou, Antonis; De Persis, Claudio
作者单位：University of Oxford; University of Groningen
摘要：In this article, we study the problem of co-designing control barrier functions (CBFs) and affine state feedback controllers for continuous-time linear systems. The co-design problem is known to be generally nonconvex due to the multiplicative coupling between the CBF and the controller required for control invariance. To address this challenge, we propose a convex reformulation based on an appropriate parameterization of the CBF and the controller for different problem settings and solve a si...
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作者：Li, Dongdong; Dong, Jiuxiang
作者单位：Northeastern University - China
摘要：This article proposes two cooperative optimal output tracking (COOT) algorithms based on policy iteration (PI) for discrete-time multiagent systems with unknown model parameters. First, we establish a stabilizing PI framework that can start from any initial control policy, relaxing the dependence of traditional PI on the initial stabilizing control policy. Then, another efficient and equivalent $Q$-learning framework is developed, which is shown to require only less system data to get the same...
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作者：Li, Guofei; Zhong, Qilin; Zuo, Zongyu; Wang, Gang; Lu, Jinhu
作者单位：Northwestern Polytechnical University; Beihang University; Beijing Institute of Technology
摘要：This article examines the secure consensus control problem for leader-follower multiagent systems with bounded input under denial-of-service (DoS) attacks. In consideration of the feasible control capability, a predefined-time convergent consensus controller based on the hyperbolic tangent function is proposed. To address the adverse effects of DoS attacks, we introduce a label system that can detect DoS attacks and identify the isolated nodes irrelevant to the leader. By incorporating the lab...
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作者：Lian, Zhi; Shi, Peng; Lim, Chee Peng; Saif, Mehrdad; Chen, Mou
作者单位：Nanjing University of Aeronautics & Astronautics; Adelaide University; University of Adelaide; Swinburne University of Technology; University of Windsor
摘要：In the rapidly evolving landscape of cyber-physical systems (CPS), understanding potential vulnerabilities through the design of sophisticated attack strategies is crucial for developing robust defense mechanisms. This article focuses on formulating innovative false data injection attack strategies that leverage current and historical data under relaxed stealthiness constraints, measured by the Kullback-Leibler divergence. By exploring the tradeoffs between attack performance and detection ris...
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作者：Qi, Qi; Feng, Yu
作者单位：Zhejiang University of Technology
摘要：Networked control systems have received increasing attention from many communities over the recent decades, and the use of network devices with limited capacities brings significant challenges to conventional system design. This article is focused on the remote $\mathcal{H}_\infty$ Gaussian state estimation problem for discrete-time systems over unreliable communication channels within the framework of Nash game, where the packet dropouts are characterized by Markov processes. The mean square ...
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作者：Benenati, Emilio; Grammatico, Sergio
作者单位：Royal Institute of Technology
摘要：We consider dynamic games with linear dynamics and quadratic objective functions. We observe that the unconstrained open-loop Nash equilibrium (NE) coincides with a linear-quadratic regulator in an augmented space, thus deriving an explicit expression of the cost-to-go. With such cost-to-go as a terminal cost, we show asymptotic stability for the receding-horizon solution of the finite-horizon, constrained game. Furthermore, we show that the problem is equivalent to a nonsymmetric variational ...
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作者：Ding, Mingxia; Zhao, Wenxiao; Chen, Tianshi; Zhang, Weidong
作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; The Chinese University of Hong Kong, Shenzhen; Shenzhen Research Institute of Big Data; The Chinese University of Hong Kong, Shenzhen; Hainan University; Shanghai Jiao Tong University
摘要：Focusing on identification, this article develops a class of convex optimization-based criteria and correspondingly the recursive algorithms to estimate the parameter vector theta* of a stochastic dynamic system. Not only do the criteria include the classical least-squares estimator but also the L-l = |center dot |(l), l >= 1, the Huber, the Log-cosh, and the Quantile costs as special cases. First, we prove that the minimizers of the convex optimization-based criteria converge to theta* with p...
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作者：Fujimoto, Yusuke; Minami, Yuki
作者单位：University of Osaka; University of Hyogo
摘要：This article discusses a data-driven design method for a dynamic quantizer. In particular, we consider the parameter tuning of a noise-shaping filter under the assumption that the input-output data are available but the target plant itself is unknown. We first focus on the input-output relationship of the noise-shaping filter in the optimal dynamic quantizer (ODQ). Based on this relationship, a data-driven parameter tuning method that makes the noise-shaping filter similar to the optimal one i...
