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作者：Mu, Biqiang; Chen, Tianshi
作者单位：Chinese Academy of Sciences; The Chinese University of Hong Kong, Shenzhen; Shenzhen Research Institute of Big Data; The Chinese University of Hong Kong, Shenzhen
摘要：Kernel-based regularized system identification is one of the major advances in system identification in the past decade. A recent focus is to develop its asymptotic theory and it has been found that the Stein's unbiased risk estimator is asymptotically optimal (AO) in the sense of minimizing the mean squared error for prediction ability, but the empirical Bayes estimator is not AO in general. In this article, we further study the AO of various cross-validation (CV) estimators and show that the...
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作者：Ding, Yi; Zhou, Bin; Zhang, Kang-Kang; Michiels, Wim
作者单位：Harbin Institute of Technology; KU Leuven
摘要：In this article, a novel Lyapunov-based approach for strong prescribed-time stabilization by periodic delayed feedback is established. Since the comparison lemma cannot be directly applied to time-delay systems, their proofs rely on trajectory analysis. Based on this approach, a novel control law for strong prescribed-time stabilization of uncertain scalar nonlinear systems is obtained, with the following appealing properties: singularity problems inherent to time-varying high gain approaches ...
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作者：Yang, Runqiu; Liu, Xinfu
作者单位：Beijing Institute of Technology
摘要：This article presents a novel approach of using convex optimization to solve an optimal control problem with a linear system subject to general nonconvex control constraints and convex state constraints. A convex hull relaxation of the optimal control problem is obtained by taking the convex hull of the original nonconvex control set. To make sure that the convex hull relaxation is exact (which is generally very challenging to achieve), we slightly modify the convex hull relaxation to get an a...
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作者：Zhou, Xin; Chen, Guici; Zeng, Zhigang; Hu, Junhao
作者单位：Wuhan University of Science & Technology; Huazhong University of Science & Technology; South Central Minzu University
摘要：This article investigates the finite-time distributed H-infinity filtering problem in sensor networks with switching topology and two-channel stochastic attacks. The two-channel stochastic deception attacks are introduced, encompassing network attacks in the communication channel between the model and the sensor, as well as in the channel between the sensors, implemented through an independent Bernoulli process with uncertain probabilities. To address this problem, a novel distributed filter w...
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作者：Anand, Sribalaji C.; Teixeira, Andre M. H.; Ahlen, Anders
作者单位：Uppsala University; Uppsala University
摘要：In this article, we address the problem of risk assessment of stealthy attacks on uncertain control systems. Considering the data injection attacks that aim at maximizing the impact while remaining undetected, we use the recently proposed output-to-output gain to characterize the risk associated with the impact of attacks under a limited system knowledge attacker. The risk is formulated using a well-established risk metric, namely the maximum expected loss. Under this setup, the risk assessmen...
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作者：Gong, Ping; Han, Qing-Long
作者单位：Guangdong University of Foreign Studies; Swinburne University of Technology
摘要：This article addresses the problem of distributed fixed-time optimization for heterogeneous second-order nonlinear multiagent systems with local time-varying cost functions. The objective is to cooperatively minimize a convex global time-varying cost function formed by a sum of local time-varying cost functions in a fixed time, where each local cost function is not necessarily required to be convex. A state-feedback distributed fixed-time optimization controller with an estimator-based distrib...
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作者：Parsa, Javad; Rojas, Cristian R.; Hjalmarsson, Hakan
作者单位：Royal Institute of Technology
摘要：One of the main problems in sparse representation in order to achieve accurate parameter estimation is the potentially large correlation between the regressors. The maximum absolute value of this correlation is called mutual coherence. The inverse of the mutual coherence controls approximately the number of nonzero parameters that can be recovered exactly from noise-free observations. In system identification, the observations are constructed from time-series data, which leads to that the colu...
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作者：Wu, Bofan; Peng, Zhaoxia; Wen, Guoguang; Huang, Tingwen; Rahmani, Ahmed
作者单位：Beihang University; Beijing Jiaotong University; Texas A&M University System; Texas A&M University College Station; Universite de Lille; Centrale Lille; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Information Sciences & Technologies (INS2I)
摘要：In this article, we investigate a distributed constrained optimal formation matching problem for a large-scale multiagent system. A distributed formation matching algorithm for a large-scale multiagent system (DFMA-LSMAS) is proposed. The algorithm employs a distributed continuous-time strategy to deal with a minimal weight bipartite graph matching problem for the optimal matching relationship between each agent and each hole in the formation configuration. It prevents a centralized structure ...
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作者：Battistelli, Giorgio; Chisci, Luigi; Selvi, Daniela; Tesi, Pietro
作者单位：University of Florence; University of Pisa; University of Pisa
摘要：This article aims to study the stability properties of consensus-based distributed state estimation (DSE) in the presence of denial-of-service (DoS) attacks. Specifically, we adopt a model that describes DoS in terms of its average frequency and duration. We focus on a family of DSE algorithms enjoying stability properties in the ideal case of no attacks, and prove that such properties are preserved under DoS provided that appropriate conditions are satisfied, with specific emphasis on the rel...
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作者：Pan, Zhuo-Rui; Ren, Wei; Sun, Xi-Ming
作者单位：Dalian University of Technology
摘要：This article addresses the safe stabilization problem of stochastic nonlinear time-delay systems. Based on the Krasovskii approach, we first propose a stochastic control Lyapunov-Krasovskii functional to guarantee the stabilization objective and a stochastic control barrier-Krasovskii functional to ensure the safety objective. Both functionals are developed, respectively, for each control objectives for the first time. Since the optimization problem is not easy to be resolved for stochastic ti...
