کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
394293 | 665790 | 2011 | 13 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Stabilization for T–S model based uncertain stochastic systems Stabilization for T–S model based uncertain stochastic systems](/preview/png/394293.png)
This paper considers the stabilization problem of a class of uncertain Itô stochastic fuzzy systems driven by a multidimensional Wiener process. The uncertainty modeled in the systems is of the linear fractional type which includes the norm-bounded uncertainty as a special case. The objective is to design a state-feedback fuzzy controller such that the closed-loop system is robustly asymptotically stable under a stochastic setting. By using a stochastic Lyapunov approach, sufficiency conditions for the stability and stabilization of this class of systems are established based on a novel matrix decomposition technique. The derived stability conditions are then employed to design controllers which stabilize the uncertain Itô stochastic fuzzy systems. Two simulation examples are given to illustrate the effectiveness of the approaches proposed.
Journal: Information Sciences - Volume 181, Issue 4, 15 February 2011, Pages 779–791