详细信息
Fuzzy Output Tracking Control and Filtering for Nonlinear Discrete-Time Descriptor Systems Under Unreliable Communication Links ( SCI-EXPANDED收录 EI收录)
文献类型:期刊文献
英文题名:Fuzzy Output Tracking Control and Filtering for Nonlinear Discrete-Time Descriptor Systems Under Unreliable Communication Links
作者:Wang, Yueying[1,2];Karimi, Hamid Reza[3];Lam, Hak-Keung[4];Yan, Huaicheng[2,5]
机构:[1]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200444, Peoples R China;[2]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[3]Politecn Milan, Dept Mech Engn, I-20156 Milan, Italy;[4]Kings Coll London, Dept Informat, Bush House, London WC2B 4BG, England;[5]East China Jiaotong Univ, Sch Elect & Automat Engn, Nanchang 330013, Jiangxi, Peoples R China
年份:2020
卷号:50
期号:6
起止页码:2369
外文期刊名:IEEE TRANSACTIONS ON CYBERNETICS
收录:;EI(收录号:20202108689346);WOS:【SCI-EXPANDED(收录号:WOS:000536299200004)】;
基金:This work was supported in part by the National Natural Science Foundation of China under Grant 61703275 and Grant 61673178, in part by the Fundamental Research Funds for the Central Universities under Grant 222201917006, in part by the Program of Shanghai Academic Research Leader under Grant 19XD1421000, in part by the Shanghai Natural Science Foundation under Grant 17ZR1444700, and in part by the Shanghai Shuguang Project under Grant 16SG28. This paper was recommended by Associate Editor L. Zhang.
语种:英文
外文关键词:Descriptor systems; filtering; output tracking control; packet dropouts; Takagi-Sugeno (T-S) fuzzy approximation
摘要:In this paper, the problems of output tracking control and filtering are investigated for Takagi-Sugeno fuzzy-approximation-based nonlinear descriptor systems in the discrete-time domain. Especially, the unreliability of the communication links between the sensor and actuator/filter is taken into account, and the phenomenon of packet dropouts is characterized by a binary Markov chain with uncertain transition probabilities, which may reflect the reality more accurately than the existing description processes. A novel bounded real lemma (BRL), which ensures the stochastic admissibility with H8 performance for fuzzy discrete-time descriptor systems despite the uncertain Markov packet dropouts, is presented based on a fuzzy basis-dependent Lyapunov function. By resorting to the dual conditions of the obtained BRL, a solution for the designed fuzzy output tracking controller is given. A design method for the fullorder fuzzy filter is also provided. Finally, two examples are finally adopted to show the applicability of the achieved design strategies.
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