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- Title
Reliable l2−l∞ filtering for fuzzy Markov stochastic systems with sensor failures and packet dropouts.
- Authors
Lu, Renquan; Peng, Hui; Liu, Shuang; Xu, Yong; Li, Xiao‐Meng
- Abstract
This study addresses the l2−l∞ filter design issue for fuzzy Markov stochastic systems with sensor failures and packet dropouts. A more general failure model is used for Markov systems to better describe the sensor failures, and the packet dropouts are assumed to obey a series of Bernoulli processes which are formed into a diagonal matrix. Sufficient condition is established to guarantee that the filtering error system is stochastically stable and achieves the given l2−l∞ performance. The parameters of the filter are then derived by solving linear matrix inequalities. Simulation results are given to demonstrate the usefulness and availability of the proposed method.
- Publication
IET Control Theory & Applications (Wiley-Blackwell), 2017, Vol 11, Issue 14, p2195
- ISSN
1751-8644
- Publication type
Article
- DOI
10.1049/iet-cta.2017.0361