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作者：Sayin, Muhammed O.; Basar, Tamer
作者单位：Massachusetts Institute of Technology (MIT); University of Illinois System; University of Illinois Urbana-Champaign
摘要：We introduce a robust sensor design framework to provide persuasion-based defense in stochastic control systems against an unknown type attacker with a control objective exclusive to its type. We design a robust linear-plus-noise signaling strategy in order to persuade the attacker to take actions that lead to minimum damage with respect to the system's objective. The specific model we adopt is a Gauss-Markov process driven by a controller with a (partially) unknown malicious/benign control ob...
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作者：Sun, Shan; Chen, Fei; Ren, Wei
作者单位：University of California System; University of California Riverside; Northeastern University - China; Northeastern University - China
摘要：This article studies a distributed average tracking (DAT) problem, in which a collection of agents work collaboratively, subject to local communication, to track the average of a set of reference signals, each of which is available to a single agent. Our primary objective is to seek a design methodology for DAT under possibly weight-unbalanced directed networks-the most general and thus most challenging case from the network topology perspective, which has few results in the literature. For th...
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作者：Wang, Chenliang; Wen, Changyun; Guo, Lei
作者单位：Beihang University; Beihang University; Nanyang Technological University
摘要：In this article, an adaptive consensus tracking control scheme is proposed for a class of high-order nonlinear multiagent systems with unknown control directions. Different from the existing results, the unknown control directions are not required to be identical and also unknown time-varying actuator faults are taken into account simultaneously. We design some novel Nussbaum functions and construct a monotonously increasing sequence in which the effects of our multiple Nussbaum functions rein...
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作者：Cao, Xuanyu; Zhang, Junshan; Poor, H. Vincent; Tian, Zhi
作者单位：University of Illinois System; University of Illinois Urbana-Champaign; Arizona State University; Arizona State University-Tempe; Princeton University; George Mason University
摘要：Due to its broad applicability in machine learning, resource allocation, and control, the alternating direction method of multipliers (ADMM) has been extensively studied in the literature. The message exchange of the ADMM in multiagent optimization may reveal sensitive information of agents, which can be overheard by malicious attackers. This drawback hinders the application of the ADMM to privacy-aware multiagent systems. In this article, we consider consensus optimization with regularization...
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作者：Cotorruelo, Andres; Ramirez, Daniel R.; Limon, Daniel; Garone, Emanuele
作者单位：Universite Libre de Bruxelles; University of Sevilla
摘要：This article presents an extension to the nonlinear model predictive control (MPC) for tracking scheme able to guarantee convergence even in cases of nonconvex output admissible sets. This is achieved by incorporating a convexifying homeomorphism in the optimization problem, allowing it to be solved in the convex space. A novel class of nonconvex sets is also defined for which a systematic procedure to construct a convexifying homeomorphism is provided. This homeomorphism is then embedded in t...
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作者：Ye, Maojiao
作者单位：Nanjing University of Science & Technology
摘要：Noticing that actuator limitations are ubiquitous in practical engineering systems, this article considers Nash equilibrium seeking for games in systems where the control inputs are bounded. More specifically, first-order integrator-type systems with bounded control inputs are first considered and two saturated control strategies are designed to seek the Nash equilibrium of the game. Then, second-order integrator-type systems are further considered. In this case, a centralized seeking strategy...
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作者：Briat, Corentin; Khammash, Mustafa
作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich
摘要：In-silico control of complex stochastic biological systems is a promising area of cybergenetics, which provides enabling theoretical and practical tools for the real-time control of living cells with digital computers. We demonstrate here that simple proportional-integral control laws can be used to control both the mean and the variance of the expression product of a simple gene expression network. Extensions to more general unimolecular networks, networks with input delay, and to a gene expr...
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作者：Vinod, Abraham P.; Oishi, Meeko M. K.
作者单位：University of New Mexico; University of Texas System; University of Texas Austin; University of New Mexico
摘要：Probabilistic occupancy, the likelihood that the state at a known future time lies in a given set, is important in a variety of stochastic motion planning problems. We provide efficient computational techniques, based in Fourier transforms, to characterize the stochasticity of the future state for Markov jump affine systems. This class of systems captures a variety of important dynamics in planning problems, including the Dubins' vehicle. We employ convex optimization to compute outer approxim...
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作者：Alghunaim, Sulaiman A.; Ryu, Ernest K.; Yuan, Kun; Sayed, Ali H.
作者单位：Kuwait University; Seoul National University (SNU); Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne
摘要：This article studies a class of nonsmooth decentralized multiagent optimization problems where the agents aim at minimizing a sum of local strongly-convex smooth components plus a common nonsmooth term. We propose a general primal-dual algorithmic framework that unifies many existing state-of-the-art algorithms. We establish linear convergence of the proposed method to the exact minimizer in the presence of the nonsmooth term. Moreover, for the more general class of problems with agent specifi...
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作者：Huang, Yulong; Zhang, Yonggang; Zhao, Yuxin; Shi, Peng; Chambers, Jonathon A.
作者单位：Harbin Engineering University; University of Adelaide; University of Leicester
摘要：In this article, a statistical similarity measure is introduced to quantify the similarity between two random vectors. The measure is, then, employed to develop a novel outlier-robust Kalman filtering framework. The approximation errors and the stability of the proposed filter are analyzed and discussed. To implement the filter, a fixed-point iterative algorithm and a separate iterative algorithm are given, and their local convergent conditions are also provided, and their comparisons have bee...
