Stabilization for T-S model based uncertain stochastic systems

作者: Shaosheng Zhou , Wenyan Ren , James Lam

DOI: 10.1016/J.INS.2010.11.002

关键词:

摘要: This paper considers the stabilization problem of a class uncertain Ito stochastic fuzzy systems driven by multidimensional Wiener process. The uncertainty modeled in is linear fractional type which includes norm-bounded as special case. objective to design state-feedback controller such that closed-loop system robustly asymptotically stable under setting. By using Lyapunov approach, sufficiency conditions for stability and this are established based on novel matrix decomposition technique. derived then employed controllers stabilize systems. Two simulation examples given illustrate effectiveness approaches proposed.

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