【摘 要】
：
The main goal of this paper is to investigate the energy-to-peak filtering problem for a class of network-based discrete-time systems.The network-induced de
【机 构】
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Department of Control Science and Engineering,School of Optical-Electrical and Computer Engineering,
【出 处】
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第八届中国多智能体系统与控制会议(MASC'2012)
论文部分内容阅读
The main goal of this paper is to investigate the energy-to-peak filtering problem for a class of network-based discrete-time systems.The network-induced delays are modeled as a Markov chain with partly unknown transition probabilities.Under this assumption,the filter is more general in comparison with the existing methods that take the transition probabilities completely known or completely unknown.A mode-dependent full-order filter is constructed by taking the unknown probabilities into a convex polytope.By using a new bounded real lemma,sufficient LMI conditions are derived to ensure the corresponding filtering errors system is stochastically stable with a guaranteed l2-l∞ performance index.A numerical example is presented to illustrate the effectiveness of the proposed approach.
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