On Mode-Dependent l2-l∞ Filtering for Network-Based Discrete-Time Systems
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.
Discrete-time system Markov Chain l2-l∞ filtering transition probabilities uncertainty
Lei Zhong Lin Li
Department of Control Science and Engineering,School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
国内会议
上海
英文
200-207
2012-10-20（万方平台首次上网日期，不代表论文的发表时间）