文献类型：期刊文献

英文题名：IBLF-Based Finite-Time Adaptive Fuzzy Output-Feedback Control for Uncertain MIMO Nonlinear State-Constrained Systems

作者：Wei, Yan[1,2];Wang, Yueying[2,3];Ahn, Choon Ki[4];Duan, Dengping[1]

机构：[1]Shanghai Jiao Tong Univ, Sch Aeronaut & Astronaut, Shanghai 200240, Peoples R China;[2]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200444, Peoples R China;[3]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem, Shanghai 200237, Peoples R China;[4]Korea Univ, Sch Elect Engn, Seoul 136701, South Korea

年份：2021

卷号：29

期号：11

起止页码：3389

外文期刊名：IEEE TRANSACTIONS ON FUZZY SYSTEMS

收录：;EI(收录号：20220911712867);WOS:【SCI-EXPANDED(收录号:WOS:000712564300018)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 61973204 and Grant 61703275, in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government (Ministry of Science and ICT) under Grant NRF-2020R1A2C1005449, and in part by the Brain Korea 21 Plus Project in 2020.

语种：英文

外文关键词：Adaptive systems; Nonlinear systems; MIMO communication; Backstepping; Stability analysis; Fuzzy logic; Lyapunov methods; Adaptive fuzzy control; finite time; integral barrier Lyapunov function (iBLF); nonlinear systems; state constraints

摘要：This article considers the problem of finite-time adaptive fuzzy output-feedback control design for multi-input-multioutput uncertain nonlinear systems subject to full state constraints. By employing the finite-time stability theory, a new finite-time adaptive fuzzy output-feedback control approach is proposed. An integral barrier Lyapunov functional is utilized to prevent all states from violating their constraints. Fuzzy logic systems are developed to approximate the uncertainties. A fuzzy state observer is constructed to estimate the unmeasurable states. Moreover, to handle the "explosion of complexity" issue in the backstepping control technique, a finite-time convergent differentiator is introduced to estimate the time derivatives of virtual control signals. The stability analysis showed that the control approach guarantees that all closed-loop signals are bounded, and the tracking errors converge to a small neighborhood of the origin in a finite time. Finally, the effectiveness of the proposed control scheme is confirmed by numerical simulations.