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作者：Nekhoroshikh, Artem N.; Efimov, Denis; Polyakov, Andrey; Perruquetti, Wilfrid; Furtat, Igor B.
作者单位：ITMO University; Universite de Lille; Centrale Lille; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Information Sciences & Technologies (INS2I); Inria; Universite de Lille; Centrale Lille; Centre National de la Recherche Scientifique (CNRS); CNRS - Institute for Information Sciences & Technologies (INS2I); Russian Academy of Sciences
摘要：Razumikhin-like theorems on hyperexponential and fixed-time stability of time-delay systems are proposed for both explicitly and implicitly defined Lyapunov functions. While the former method is useful for stability analysis, the latter approach is more suitable for control synthesis. Examples of systems that can be stabilized hyperexponentially and in fixed time are given. The control parameters tuning algorithm is presented in the form of linear matrix inequalities. The numerical simulations...
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作者：Nekouei, Ehsan; Sandberg, Henrik; Skoglund, Mikael; Johansson, Karl Henrik
作者单位：City University of Hong Kong; Royal Institute of Technology
摘要：In this article, we study a privacy filter design problem for a sequence of sensor measurements whose joint probability density function (p.d.f.) depends on a private parameter. To ensure parameter privacy, we propose a filter design framework which consists of two components: a randomizer and a nonlinear transformation. The randomizer takes the private parameter as input and randomly generates a pseudo parameter. The nonlinear mapping transforms the measurements such that the joint p.d.f. of ...
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作者：Karg, Philipp; Koepf, Florian; Braun, Christian A.; Hohmann, Soeren
作者单位：Helmholtz Association; Karlsruhe Institute of Technology
摘要：This article focuses on the fulfillment of the persistent excitation (PE) condition for signals which result from transformations by means of polynomials. This is essential, e.g., for the convergence of adaptive dynamic programming algorithms due to commonly used polynomial function approximators. As theoretical statements are scarce regarding the nonlinear transformation of PE signals, we propose conditions on the system state such that its transformation by polynomials is PE. To validate our...
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作者：Zhang, Kexue; Braverman, Elena
作者单位：Queens University - Canada; University of Calgary
摘要：This article studies impulsive stabilization of nonlinear systems. We propose two types of event-triggering algorithms to update the impulsive control signals with actuation delays. The first algorithm is based on continuous event detection, while the second type makes decision about updating the impulsive control inputs according to periodic event detection. Sufficient conditions are derived to ensure asymptotic stability of the impulsive control systems with the designed event-triggering alg...
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作者：Azmi, Behzad; Kunisch, Karl; Rodrigues, Sergio S.
作者单位：University of Konstanz; University of Graz
摘要：In this article, it is shown that there exist a finite number of indicator functions, which allow us to track an arbitrary given trajectory of the Schlogl model, by means of an explicit saturated feedback control input whose magnitude is bounded by a constant independent of the given targeted trajectory. Simulations are presented showing the stabilizing performance of the explicit feedback constrained control. Further, such performance is compared to that of a receding horizon constrained cont...
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作者：Zhang, Zhirong; Wen, Changyun; Song, Yongduan; Feng, Gang
作者单位：City University of Hong Kong; Nanyang Technological University; Chongqing University
摘要：Digital control systems are normally characterized by quantization. It is quite challenging to exploit the celebrated backstepping control design for nonlinear systems subject to mismatched parametric uncertainties, input/output quantization, and unknown sensor failures. A major difficulty is that the output of the concerned system after quantization becomes discontinuous, and thus, nondifferentiable. As a result, the traditional recursive backstepping design method becomes infeasible because ...
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作者：Chen, Guanpu; Xu, Gehui; Li, Weijian; Hong, Yiguang
作者单位：Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Alibaba Group; Tongji University; Tongji University
摘要：To efficiently solve the nonsmooth distributed optimization with both local constraints and coupled constraints, we propose a distributed continuous-time algorithm based on the mirror descent (MD) method. In this article, we introduce the Bregman damping into distributed MD-based dynamics, which not only successfully applies the MD idea to the distributed primal-dual framework, but also ensures the boundedness of all variables and the convergence of the entire dynamics. Our approach generalize...
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作者：Li, Yuting; Hadjicostis, Christoforos N.; Wu, Naiqi; Li, Zhiwu
作者单位：Macau University of Science & Technology; University of Cyprus
摘要：This article deals with the state estimation problem in discrete-event systems modeled with nondeterministic finite automata, partially observed via a sensor measuring unit whose measurements (reported observed symbols) may be vitiated by a malicious attacker. The attacks considered in this article include arbitrary deletions, insertions, or substitutions of observed symbols by taking into account a bounded number of attacks or, more generally, a total cost constraint (assuming that each delet...
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作者：Pan, Guanru; Ou, Ruchuan; Faulwasser, Timm
作者单位：Dortmund University of Technology
摘要：Data-driven control based on the fundamental lemma by Willems et al. is frequently considered for deterministic linear time invariant (LTI) systems subject to measurement noise. However, besides measurement noise, stochastic disturbances might also directly affect the dynamics. In this article, we leverage polynomial chaos expansions to extend the deterministic fundamental lemma toward stochastic systems. This extension allows to predict future statistical distributions of the inputs and outpu...
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作者：Tang, Minjie; Cai, Songfu; Lau, Vincent K. N.
作者单位：Hong Kong University of Science & Technology
摘要：In this article, we consider identification and control for potentially unstable linear systems with multiagent controllers in the presence of wireless interference channels among the remote controllers and the actuators. We formulate the optimal control problem as a stochastic game and utilize the stochastic approximation technique to learn the optimal control solutions and the plant dynamics simultaneously in an online manner. Using Lyapunov drift analysis, we show that the identified plant ...
