Filter design for stochastically perturbed T-S Fuzzy systems

In this paper, the problem of induced ℓ 2 filter design is investigated for a class of T-S fuzzy Ito stochastic systems. A novel comparison model is introduced by employing a new approximation for time-varying delay state, and then sufficient conditions are proposed for the resulting filtering error...

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Bibliographic Details
Published in2013 10th IEEE International Conference on Control and Automation (ICCA) pp. 1109 - 1114
Main Authors Xiaojie Su, Peng Shi, Ligang Wu, Rongni Yang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2013
Subjects
Approximation methods
Bismuth
Delays
Educational institutions
Fuzzy systems
Stochastic systems
Time-varying systems
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Summary:In this paper, the problem of induced ℓ 2 filter design is investigated for a class of T-S fuzzy Ito stochastic systems. A novel comparison model is introduced by employing a new approximation for time-varying delay state, and then sufficient conditions are proposed for the resulting filtering error system. The desired filter is to be stochastically stable and meets an induced ℓ 2 performance index by solving a convex optimization problem, which can be efficiently solved by standard numerical algorithms.
ISBN:9781467347075
1467347078
ISSN:1948-3449
1948-3457
DOI:10.1109/ICCA.2013.6564997