文献类型：期刊文献

英文题名：Fuzzy Remote Tracking Control for Randomly Varying Local Nonlinear Models Under Fading and Missing Measurements

作者：Song, Jun[1];Niu, Yugang[1];Lam, James[2];Lam, Hak-Keung[3]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Univ Hong Kong, Dept Mech Engn, Hong Kong, Hong Kong, Peoples R China;[3]Kings Coll London, Dept Informat, London WC2R 2LS, England

年份：2018

卷号：26

期号：3

起止页码：1125

外文期刊名：IEEE TRANSACTIONS ON FUZZY SYSTEMS

收录：;EI(收录号：20182305284373);WOS:【SCI-EXPANDED(收录号:WOS:000433957900004)】；

基金：This work was supported in part by the NNSF from China under Grant 61673174 and in part by HKU CRCG under Grant 201411159139.

语种：英文

外文关键词：Fading measurement; fuzzy systems; missing measurement; remote tracking control

摘要：This paper proposes a novel remote tracking control strategy for a class of discrete-time Takagi-Sugeno fuzzy systems with randomly occurring uncertainties and randomly varying local nonlinear models. The outputs of the fuzzy system are collected through an unreliable sensor subject to missing measurements. Simultaneously, the outputs of the remote models are transmitted to the controller through wireless channels, in which the fading measurements may inevitably happen. By considering the Rice fading model and the Markovian packet dropouts model, an output-feedback controller is designed such that the closed-loop fuzzy tracking system is robustly stochastically stable and a prescribed H-infinity remote tracking performance is achieved. Furthermore, sufficient conditions are obtained for the existence of admissible tracking controllers in terms of nonstrict linear matrix inequalities. To overcome the difficulty in computation, a modified cone-complementarity linearization algorithm is employed to cast the tracking controller design problem into a sequential minimization one, which can be readily solved by using standard numerical software. Simulation results demonstrate the effectiveness of the developed control algorithm for fuzzy remote tracking controller.