文献类型：期刊文献

英文题名：Resilient finite-time stabilization of fuzzy stochastic systems with randomly occurring uncertainties and randomly occurring gain fluctuations

作者：Song, Jun[1];Niu, Yugang[1]

机构：[1]E China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

年份：2016

卷号：171

起止页码：444

外文期刊名：NEUROCOMPUTING

收录：;EI(收录号：20152901039162);WOS:【SCI-EXPANDED(收录号:WOS:000364883900045)】；

基金：This work was supported in part by the NNSF from China (61273073, 61374107).

语种：英文

外文关键词：Fuzzy stochastic systems; Finite-time stochastic bounded; Randomly occurring uncertainties (ROUs); Randomly occurring gain fluctuations (ROGFs); H-infinity control

摘要：This paper addresses the problem of resilient finite-time boundedness of a class of Takagi-Sugeno (T-S) fuzzy stochastic systems, in which there may happen the phenomena of randomly occurring uncertainties and randomly occurring gain fluctuations simultaneously. Two independent Bernoulli distributions are introduced to describe these random phenomena. And then, a resilient H-infinity state feedback fuzzy controller is designed such that the closed-loop fuzzy system is finite-time stochastic bounded with a prescribed H-infinity performance. Moreover, the sufficient conditions on the existence of the finite-time H-infinity controller are derived. A numerical example is exploited to illustrate the effectiveness and potentials of the proposed approach. (C) 2015 Elsevier B.V. All rights reserved.