文献类型：期刊文献

英文题名：Aperiodic Sampled-Data Takagi-Sugeno Fuzzy Extended State Observer for a Class of Uncertain Nonlinear Systems With External Disturbance and Unmodeled Dynamics

作者：Li, Zhichen[1];Yan, Huaicheng[1,2];Zhang, Hao[3];Lam, Hak-Keung[4];Huang, Congzhi[5]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy 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]Kings Coll London, Dept Engn, London WC2R 2LS, England;[5]North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China

年份：2022

卷号：30

期号：7

起止页码：2678

外文期刊名：IEEE TRANSACTIONS ON FUZZY SYSTEMS

收录：;EI(收录号：20213310778998);WOS:【SCI-EXPANDED(收录号:WOS:000819827400046)】；

基金：This work was supported in part by the National Science Foundation of China under Grant 62173146, in part by the National Natural Science Foundation of China under Grant 61803159, Grant 62073143, and Grant 61922063, in part by the Shanghai Chenguang Project under Grant 18CG31, in part by the Shanghai Natural Science Foundation under Grant 18ZR1409600, in part by the Program of Shanghai Academic Research Leader under Grant 19XD1421000, in part by the Shanghai and HongKong-Macao-Taiwan Science and Technology Cooperation Project under Grant 19510760200, in part by the Shanghai Shuguang Project under Grant 18SG18, and in part by the Innovation Program of Shanghai Municipal Education Commission under Grant 2021-01-07-00-02-E00107.

语种：英文

外文关键词：Observers; Nonlinear systems; Uncertainty; Takagi-Sugeno model; Symmetric matrices; Convergence; Actuators; Aperiodic sampled data; sampling- and time-dependent Lyapunov functional (STDLF); Takagi-Sugeno fuzzy extended state observer (TSFESO); uncertain nonlinear systems

摘要：For the extended state observer (ESO) design, the most challenging issue is to exploit efficient nonlinear observation performance, while maintaining desirable linear numerical tractability under noncontinuous transmission. In this article, in order to address this issue, the sampled-data ESO design is investigated for a class of uncertain nonlinear systems. First, based on the fuzzy modeling approach with reasonable fuzzy rules and sets, the nonlinear functions of the ESO are suitably approximated by several local linear models weighted by membership functions. Then, a novel methodology of Takagi-Sugeno fuzzy extended state observer (TSFESO) is developed for the first time. By virtue of fuzzy membership functions, the estimating action is implemented in a nonlinear pattern, while taking advantages of Takagi-Sugeno fuzzy formulation, the observer gains can be calculated in a linear manner. As a result, the nonlinear estimating efficiency and linear numerical tractability are integrated in a unified framework. Second, for the aperiodic sampling case, the exponential convergence criterion for the TSFESO is presented by constructing a sampling- and time-dependent Lyapunov functional, in which the information on sampling action is taken into full consideration for desirable feasibility. Moreover, the observer design approach is also put forward. Finally, the superiorities and effectiveness of the proposed approaches are demonstrated by numerical examples.