Energy-to-peak Filtering for Fuzzy Stochastic Neutral Systems with Time-delays: LMI approach

Based on Takagi-Sugeno (T-S) fuzzy models, the energy-to-peak filtering problem is studied for a class of nonlinear stochastic neutral systems with delays. Sufficient conditions on the stochastic stability with prescribed L 2 -L ∞ -noise attenuation level are proposed. The conditions and the optimal...

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Bibliographic Details
Published in2007 Chinese Control Conference pp. 253 - 256
Main Authors Chen Zhisheng, Li Yonggang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2007
Subjects
Attenuation
Delay systems
energy-to-peak filtering
Filtering
Fuzzy delay systems
Fuzzy systems
LMI
Optimal control
Stability
stochastic
Stochastic processes
Stochastic systems
Sufficient conditions
Takagi-Sugeno model
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ISBN9787811240559
7811240556
ISSN1934-1768
DOI10.1109/CHICC.2006.4346791

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Summary:Based on Takagi-Sugeno (T-S) fuzzy models, the energy-to-peak filtering problem is studied for a class of nonlinear stochastic neutral systems with delays. Sufficient conditions on the stochastic stability with prescribed L 2 -L ∞ -noise attenuation level are proposed. The conditions and the optimal design of the controller are formulated as a set of direct linear matrix inequalities (LMIs). The effectiveness of the proposed method is illustrated by a simulation example.
ISBN:9787811240559
7811240556
ISSN:1934-1768
DOI:10.1109/CHICC.2006.4346791