文献类型：期刊文献

英文题名：Generalized Fuzzy Extended State Observer Design for Uncertain Nonlinear Systems: An Improved Dynamic Event-Triggered Approach

作者：Li, Zhichen[1];Yan, Huaicheng[1,2];Zhang, Hao[3];Wang, Meng[1];Zeng, Lu[4]

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]Fudan Univ, Acad Engn & Technol, Shanghai 200433, Peoples R China

年份：2022

卷号：30

期号：11

起止页码：4867

外文期刊名：IEEE TRANSACTIONS ON FUZZY SYSTEMS

收录：;EI(收录号：20224613113564);WOS:【SCI-EXPANDED(收录号:WOS:000878174700031)】；

基金：This work was supported by the National Natural Science Foundation of China under Grant 62173146, Grant 62073143, Grant 61922063, and Grant 62003139; in part by the Shanghai Natural Science Foundation under Grant 22ZR1416200 and Grant 20ZR1415200; in part by the Program of Shanghai Academic Research Leader under Grant 19XD1421000; in part by the Shanghai and HongKong-MacaoTaiwan Science andTechnology 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：Estimation; Observers; Uncertainty; Standards; Fuzzy sets; Vehicle dynamics; Protocols; Disturbance estimation; general uncertain nonlinear systems; generalized fuzzy extended state observer (GFESO); improved event-triggered mechanism

摘要：This article is concerned with extended state observer (ESO) design for uncertain nonlinear systems. First, different from standard ESO exclusively applicable for integral chain systems, a ESO formation including nonlinear and linear types is proposed for general state-space models. Inspired by our previous work, a event-triggered generalized fuzzy ESO (GFESO) is developed. Second, in order to schedule transmission rationally, an improved total disturbance-resilient dynamic event-triggered mechanism (TDRDETM) is put forward. Third, under TDRDETM, the GFESO design approach is presented in sense of exponential convergence. Finally, numerical examples illustrate the effectiveness of the given methods.