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作者：Ren, Wei; Xiong, Junlin
作者单位：Chinese Academy of Sciences; University of Science & Technology of China, CAS
摘要：In this article, we study the robust filtering problem for 2-D switched systems with convex-bounded uncertainties. The studied switched system is formulated by Fornasini-Marchesini local state-space model, and system matrices depend affinely on convex-bounded uncertain parameters. We first derive synthesis results for 2-D switched systems, which extends the existing results and lays a foundation for the robust filter design. To design the robust filter, we transform the 2-D switched system int...
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作者：Shang, Chao; You, Fengqi
作者单位：Tsinghua University; Cornell University
摘要：Scenario programs have established themselves as efficient tools toward decision-making under uncertainty. To assess the quality of scenario-based solutions a posteriori, validation tests based on Bernoulli trials have been widely adopted in practice. However, to reach a theoretically reliable judgment of risk, one typically needs to collect massive validation samples. In this article, we propose new a posteriori bounds for convex scenario programs with validation tests, which are dependent on...
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作者：Ma, Ziyue; Yin, Xiang; Li, Zhiwu
作者单位：Xidian University; Shanghai Jiao Tong University; Shanghai Jiao Tong University; Macau University of Science & Technology
摘要：This article studies the marking prediction problem in labeled Petri nets. Marking prediction aims to recognize a priori that the plant will inevitably reach a given set of alert markings in finite future steps. Specifically, we require that a marking prediction procedure should have the following properties: i) no missed alarm, i.e., an alarm can always be issued before reaching an alert marking; and ii) no false alarm, i.e., once an alarm is issued, the plant will eventually reach an alert m...
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作者：Ma, Lifeng; Wang, Zidong; Hu, Jun; Han, Qing-Long
作者单位：Nanjing University of Science & Technology; Shandong University of Science & Technology; Brunel University; Harbin University of Science & Technology; Swinburne University of Technology
摘要：This article deals with the recursive filtering problem for nonlinear time-varying stochastic systems subject to possible measurement outliers. In order to mitigate the effects from possible abnormal measurements, we construct a filter with a saturation constraint imposed on the innovations where the saturation level is adaptively determined according to the estimation errors. Two performance indices, namely, the finite-horizon H-infinity specification and the envelope-constraint criterion wit...
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作者：Leventides, John; Karcanias, Nicos; Livada, Maria
作者单位：National & Kapodistrian University of Athens; City St Georges, University of London
摘要：In this article, we deal with the study of the determinantal assignment problem (DAP) when the parameters of the compensator are not entirely free, but some of them are fixed. The problem is reduced to a restricted form of an exterior algebra problem (decomposability of multivectors), which is referred to as partial decomposability problem. We study this problem and in case that this problem has no solution, we examine the problem of approximate partial decomposability. We treat the problem of...
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作者：Liang, Dong; Huang, Jie
作者单位：Chinese University of Hong Kong
摘要：In this article, we study the robust output regulation problem of linear systems by an event-triggered output feedback control law. We first summarize the solvability of the linear robust output regulation problem by the internal model design. Then, we implement this continuous-time control law by an event-triggered output feedback control law together with an output-based triggering mechanism. We show that, under almost the same solvability conditions as those for the linear robust output reg...
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作者：Latosinski, Pawel; Bartoszewicz, Andrzej
作者单位：Lodz University of Technology
摘要：Reaching-law-based discrete sliding mode controllers are well known to be easy to tune and robust with respect to disturbance. In recent years, it has been demonstrated that their robustness can be further enhanced with the use of arbitrary relative degree sliding variables. However, reaching laws using such variables only ensure a good sliding mode performance of the system when the perturbations affecting the plant are matched, which is a very restrictive assumption. To address this issue an...
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作者：Linsenmayer, Steffen; Hertneck, Michael; Allgower, Frank
作者单位：University of Stuttgart
摘要：This article considers the stabilization of linear control systems under weakly hard real-time (WHRT) constraints. In the context of networked control systems, such WHRT constraints allow us to specify packet loss properties of a communication network over windows of a given length, e.g., at least n consecutive transmissions in every window of m consecutive transmission attempts are successful. Time- and event-triggered stabilization results are derived. The control design exploits a graph tha...
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作者：Xu, Juanjuan; Zhang, Zhaorong; Wang, Wei
作者单位：Shandong University; University of Newcastle
摘要：In this article, we are concerned with the consensus problem of multiagent system where the channels from each agent's control input to the plant are fading nonidentically. Two problems have been extensively studied. One is the consentable problem when the current state information is available for the controller. The other is that the state information is delayed for the controller in which we propose a novel predictorlike control protocol. It is obtained that the multiagent system with syste...
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作者：Li, Haidong; Xu, Xiaoyun; Peng, Yijie; Chen, Chun-Hung
作者单位：Peking University; Ateneo de Manila University; Peking University; George Mason University
摘要：In this article, we consider the problem of selecting important nodes in a random network, where the nodes connect to each other randomly with certain transition probabilities. The node importance is characterized by the stationary probabilities of the corresponding nodes in a Markov chain defined over the network, as in Google's PageRank. Unlike a deterministic network, the transition probabilities in a random network are unknown but can be estimated by sampling. Under a Bayesian learning fra...
