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作者：Zhao, Zhengen; Xu, Yunsong; Li, Yuzhe; Zhen, Ziyang; Yang, Ying; Shi, Yang
作者单位：Nanjing University of Aeronautics & Astronautics; National University of Defense Technology - China; Northeastern University - China; Peking University; University of Victoria
摘要：This article studies the issues of data-driven attack detection and identification for cyber-physical systems under sparse sensor attacks. First, based on the available input and output datasets, a data-driven monitor is formulated with the following two objectives: attack detection and attack identification. Then, with the subspace approach, a data-driven attack detection policy is presented, wherein the attack detector is designed directly by the process data. A subspace projection-based att...
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作者：Zhu, Yuying; Xia, Chengyi; Chen, Zengqiang
作者单位：Tiangong University; Nankai University
摘要：As an important branch of evolutionary game theory, iterated games describe the situations that interacting agents play repeatedly based on previous outcomes by using the conditional strategies. A new class of zero-determinant (ZD) strategies, which can control a linear relation between the expected payoffs of a single agent and the coplayers, has dramatically changed the viewpoint on iterated games. Here, in this article, we focus on the decision-making behaviors in iterated multiplayer gamin...
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作者：Glushchenko, Anton; Petrov, Vladislav; Lastochkin, Konstantin
作者单位：Russian Academy of Sciences
摘要：This article proposes a new method to provide the exponential convergence of both the parameter and tracking errors of the composite adaptive control system without the persistent excitation (PE) requirement. Instead, the derived composite adaptive law ensures the abovementioned properties under the strictly weaker finite excitation (FE) condition. Unlike known solutions, in addition to the PE requirement relaxation, it provides better transient response under jump change of the plant uncertai...
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作者：Li, Xiaodi; Wang, Yuhan; Song, Shiji
作者单位：Shandong Normal University; Tsinghua University
摘要：This article presents a new approach to the problem of globally asymptotical stability for nonlinear impulsive systems by utilizing self-triggered impulsive control (STIC), where impulse instants are determined by a well-designed self-triggered mechanism, which is based on the comparison approach. Different from event-triggered impulsive control strategy in which the triggering conditions need to be continuously or periodically monitored to determine whether an impulse should be generated, our...
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作者：Yu, Xin; Lin, Wei
作者单位：Jiangsu Normal University; University System of Ohio; Case Western Reserve University
摘要：In this article, we tackle the problem of when a globally asymptotically stabilizable nonlinear system by either state or output feedback is globally tolerant to input delay. We focus on the case when the continuous system is not stabilizable by linear or smooth feedback, and thus, local exponential stabilizability is not fulfilled. With the aid of the Lyapunov-Krasovskii functional method and weighted homogeneity, we prove that for a multi-input multi-output nonlinear system with homogeneous ...
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作者：Pan, Xiaowei; Liu, Zhongxin; Chen, Zengqiang
作者单位：Nankai University
摘要：The alternating direction method of multipliers (ADMM) has seen much progress in the literature in recent years. Usually, linear convergence of distributed ADMM is proved under either second-order conditions or strong convexity. When both conditions fail, an alternative is expected to play the role. In this article, it is shown that distributed ADMM can achieve a linear convergence rate by imposing metric subregularity on a defined mapping. Furthermore, it is proved that both second-order cond...
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作者：Sun, Liangjie; Ching, Wai-Ki
作者单位：University of Hong Kong
摘要：In this article, we consider stabilization and reconstruction of sampled-data Boolean control networks (BCNs) under noisy sampling interval. A sampled-data BCN under noisy sampling interval is first converted into a probabilistic Boolean network (PBN). We then obtain some necessary and sufficient conditions for global stochastic stability of the considered sampled-data BCN under two types of noisy sampling intervals. However, in analyzing the stochastic stability of large-scale sampled-data BC...
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作者：Wang, Yongqiang; Poor, H. Vincent
作者单位：Clemson University; Princeton University
摘要：Decentralized stochastic optimization is the basic building block of modern collaborative machine learning, distributed estimation and control, and large-scale sensing. Since involved data usually contain sensitive information like user locations, healthcare records, and financial transactions, privacy protection has become an increasingly pressing need in the implementation of decentralized stochastic optimization algorithms. In this article, we propose a decentralized stochastic gradient des...
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作者：de Rozario, Robin; Oomen, Tom
作者单位：Eindhoven University of Technology
摘要：Iterative learning control (ILC) enables substantial performance improvement by using past operational data in combination with approximate plant models. The aim of this article is to develop an ILC framework based on nonparametric frequency response function (FRF) models that requires very limited modeling effort. These FRF models describe the behavior of a system in periodic steady state, yet are employed for the control of arbitrary finite-length tasks. A detailed analysis and design framew...
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作者：Kolar, Bernd; Diwold, Johannes; Schoeberl, Markus
作者单位：Johannes Kepler University Linz
摘要：In this article, we show that the flatness of a nonlinear discrete-time system can be checked by computing a unique sequence of involutive distributions. The well-known test for static feedback linearizability is included as a special case. Since the computation of the sequence of distributions requires only the solution of algebraic equations, it allows an efficient implementation in a computer algebra program. In case of a positive result, a flat output can be obtained by straightening out t...
