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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：Bikas, Lampros N. N.; Rovithakis, George A. A.
作者单位：Aristotle University of Thessaloniki
摘要：In this article, we design a low-complexity state-feedback controller for uncertain multi-input and multi-output (MIMO) nonlinear systems, capable of imposing prespecified performance attributes (in terms of maximum steady-state error and minimum convergence rate) on the output tracking errors, in the presence of time-varying delays both in the state measurement and control input signals. The state measurement delay is considered known and the control input delay unknown though bounded by some...
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作者：Mo, Yuanqiu; Dasgupta, Soura; Beal, Jacob
作者单位：Westlake University; University of Iowa; Qilu University of Technology; RTX Corporation; Raytheon BBN Technologies
摘要：Spreading informationthrough a network of devices is a core activity for most distributed systems. Self-stabilizing algorithms for information spreading are one of the key building blocks enabling aggregate computing to provide resilient coordination in open complex distributed systems. This article improves a general spreading block in the aggregate computing literature by making it resilient to network perturbations, establishes its global uniform asymptotic stability, and proves that it is ...
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作者：Yu, Hao; Chen, Tongwen
作者单位：University of Alberta
摘要：This article studies periodic event-triggered networked control for nonlinear systems, where the plants and controllers are connected by multiple independent communication channels. Several network-induced imperfections are considered simultaneously, including time-varying intersampling times, sensor node scheduling, and especially, large time-varying transmission delays, where the transmitted signal may arrive at the destination node after the next transmission occurs. A new hybrid system app...
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作者：Borja, Pablo; Scherpen, Jacquelien M. A.; Fujimoto, Kenji
作者单位：Delft University of Technology; University of Groningen; Kyoto University
摘要：In this article, we treat extended balancing for continuous-time linear time-invariant systems. We take a dissipativity perspective, thus, resulting in a characterization in terms of linear matrix inequalities. This perspective is useful for determining a priori error bounds. In addition, we address the problem of structure-preserving model reduction of the subclass of port-Hamiltonian systems. We establish sufficient conditions to ensure that the reduced-order model preserves a port-Hamiltoni...
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作者：Dhiman, Vikas; Khojasteh, Mohammad Javad; Franceschetti, Massimo; Atanasov, Nikolay
作者单位：University of Maine System; University of Maine Orono; Massachusetts Institute of Technology (MIT); University of California System; University of California San Diego
摘要：This article focuses on learning a model of system dynamics online, while satisfying safety constraints. Our objective is to avoid offline system identification or hand-specified models and allow a system to safely and autonomously estimate and adapt its own model during operation. Given streaming observations of the system state, we use Bayesian learning to obtain a distribution over the system dynamics. Specifically, we propose a new matrix variate Gaussian process (MVGP) regression approach...
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作者：Jiroveanu, George; Boel, Rene K. K.
作者单位：Ghent University
摘要：In this technical article we consider a distributed analysis of a plant given by local petri net models (components) that interact via shared transitions. For each component, there is a local agent that performs local calculations and exchanges information with its neighbours for monitoring the plant. We relax the standard requirement that the interaction graph between components is a tree and, for the general case, we investigate under which conditions the local consistency of the local estim...
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作者：Lhachemi, Hugo; Prieur, Christophe
作者单位：Centre National de la Recherche Scientifique (CNRS); Universite Paris Saclay; Communaute Universite Grenoble Alpes; Institut National Polytechnique de Grenoble; Universite Grenoble Alpes (UGA); Centre National de la Recherche Scientifique (CNRS)
摘要：This article is concerned with the output feedback stabilization of a reaction-diffusion equation by means of bounded control inputs in the presence of saturations. Using a finite-dimensional controller composed of an observer coupled with a finite-dimensional state-feedback, we derive a set of conditions ensuring the stability of the closed-loop plant while estimating the associated domain of attraction in the presence of saturations. This set of conditions is shown to be always feasible for ...
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作者：Xu, Juanjuan; Zhang, Huanshui; Basar, Tamer
作者单位：Shandong University; Shandong University of Science & Technology; University of Illinois System; University of Illinois Urbana-Champaign
摘要：In this article, we study a class of discrete-time decentralized linear-quadratic-Gaussian (LQG) control problems with two controllers and $d$-step delayed information sharing pattern. An explicit form of the pair of optimal linear controllers is obtained in terms of backward Riccati equations and forward equations of estimation error covariance. To overcome the difficulty that arises due to the coupling of the backward-forward equations, we propose a forward iteration approach to derive a ste...
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作者：Rosolia, Ugo; Lian, Yingzhao; Maddalena, Emilio T. T.; Ferrari-Trecate, Giancarlo; Jones, Colin N. N.
作者单位：California Institute of Technology; Swiss Federal Institutes of Technology Domain; Ecole Polytechnique Federale de Lausanne
摘要：In this technical article, we analyze the performance improvement and optimality properties of the learning model predictive control (LMPC) strategy for linear deterministic systems. The LMPC framework is a policy iteration scheme where closed-loop trajectories are used to update the control policy for the next execution of the control task. We show that, when a linear independence constraint qualification (LICQ) condition holds, the LMPC scheme guarantees strict iterative performance improvem...
