文献类型：期刊文献

英文题名：Fuzzy-Dependent-Switching Control of Nonlinear Systems With Aperiodic Sampling

作者：You, Zheng[1];Yan, Huaicheng[1,2];Zhang, Hao[3];Chen, Shiming[4];Wang, Meng[1]

机构：[1]East China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Chengdu Univ, Sch Informat Sci & Engn, Chengdu 610106, Peoples R China;[3]Tongji Univ, Dept Control Sci & Engn, Shanghai 200092, Peoples R China;[4]East China Jiaotong Univ, Sch Elect & Automat Engn, Nanchang 330013, Jiangxi, Peoples R China

年份：2021

卷号：29

期号：11

起止页码：3349

外文期刊名：IEEE TRANSACTIONS ON FUZZY SYSTEMS

收录：;EI(收录号：20221812051658);WOS:【SCI-EXPANDED(收录号:WOS:000712564300015)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 62073143, Grant 61673178, Grant 61773289, and Grant 61922063, in part by Program of Shanghai Academic Research Leader (19XD1421000), in part by Shanghai International Science and Technology Cooperation Project under Grant 18510711100, in part by Shanghai and HongKong-Macao-Taiwan Science and Technology Cooperation Project under Grant 19510760200, in part by Shanghai Shuguang Project (18SG18), and in part by Programme of Introducing Talents of Discipline to Universities under the 111 Project B17017.

语种：英文

外文关键词：Symmetric matrices; Nonlinear systems; Upper bound; Control systems; Time-varying systems; Fuzzy control; Aperiodic sampling systems; fuzzy-dependent-switching control scheme; mixed-fuzzy dependent Lyapunov-Krasovskii functionals (MFDLKFs); Takagi-Sugeno (T-S) fuzzy systems; time-varying controller gains

摘要：This article considers the exponential stability and aperiodic sampled-data control problem for nonlinear systems based on a class of Takagi-Sugeno fuzzy models. The fuzzy-dependent-switching control strategy together with a novel time-varying sampled-data controller is proposed to deal with the exponential stabilization problem of such systems. Mixed-fuzzy dependent Lyapunov-Krasovskii functionals (MFDLKFs), which fully make use of available characteristics of the sampling patterns, the signs and the upper bounds of the time derivative of fuzzy membership functions, are constructed for the purpose of reducing the design conservatism. Based on the proposed MFDLKFs, a novel exponential stabilization criterion for the fuzzy systems with aperiodic sampling is established in terms of linear matrix inequalities, which is less conservative and obtains a larger sampling interval compared with existing results. Finally, a simulation example is employed to demonstrate the effectiveness and superiority of the proposed fuzzy-dependent-switching control scheme.