Nonstationary Control for T-S Fuzzy Markovian Switching Systems With Variable Quantization Density

作     者：Cheng, Jun Shan, Yaonan Cao, Jinde Park, Ju H. 

作者机构：Guangxi Normal Univ Coll Math & Stat Guilin 541006 Peoples R China Univ Elect Sci & Technol China Sch Informat & Software Engn Chengdu 611731 Peoples R China Southeast Univ Sch Math Nanjing 211189 Peoples R China Yeungnam Univ Dept Elect Engn Gyongsan 38541 South Korea 

出 版 物：《IEEE TRANSACTIONS ON FUZZY SYSTEMS》 (IEEE模糊系统汇刊)

年 卷 期：2021年第29卷第6期

页      面：1375-1385页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Natural Science Foundation of China [61703150, 61833005] Training Program for 1,000 Young and Middle-aged Cadre Teachers in Universities of Guangxi Province National Research Foundation of Korea - Korea government (Ministry of Science and ICT) [2019R1A5A808029011] 

主　　题：Quantization (signal) Switching systems Switches Monte Carlo methods Markov processes Manganese Markovian switching systems (MSSs) nonstationary control quantization effect Tagaki-Sugeno (T-S) fuzzy 

摘      要：This article concentrates on the nonstationary control for a class of nonlinear Markovian switching systems (MSSs) with the Tagaki-Sugeno (T-S) fuzzy model. By adopting variable quantization density, a more general type of T-S fuzzy MSSs is established, in which the varies performance demands can be satisfied in a more flexible way. The major benefit of the developed method lies that a multiple hierarchical structure strategy is developed concerning nonsynchronization among the original system, controller, and quantizer, which covers the reported asynchronous/synchronous mechanisms as special cases. On the basis of fuzzy-basis-dependent and mode-dependent Lyapunov function, some sufficient conditions are derived and controller gains are designed. Finally, the feasibility of the achieved result is verified by a practical example.