Observer-based finite-time adaptive fuzzy back-stepping control for MIMO coupled nonlinear systems

被引:3
|
作者
Wang, Chao [1 ]
Zhang, Cheng [1 ]
He, Dan [2 ]
Xiao, Jianliang [1 ]
Liu, Liyan [1 ]
机构
[1] Dalian Univ Technol, Sch Comp Engn, City Inst, Dalian 116000, Peoples R China
[2] Dalian Univ Finance & Econ, Sch Management, Dalian 116000, Peoples R China
关键词
coupled nonlinear systems; adaptive fuzzy logic system; extended state observer; back-stepping; finite time; DYNAMIC SURFACE CONTROL; BACKSTEPPING CONTROL; NEURAL-NETWORK; MOTION CONTROL; DESIGN; MOTORS;
D O I
10.3934/mbe.2022497
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
An attempt is made in this paper to devise a finite-time adaptive fuzzy back-stepping control scheme for a class of multi-input and multi-output (MIMO) coupled nonlinear systems with immeasurable states. In view of the uncertainty of the system, adaptive fuzzy logic systems (AFLSs) are used to approach the uncertainty of the system, and the unmeasured states of the system are estimated by the finite-time extend state observers (FT-ESOs), where the state of the observer is a sphere around the state of the system. The accuracy and efficiency of the control effect are ensured by combining the back-stepping and finite-time theory. It is proved that all the states of the closed-loop adaptive control system are semi-global practical finite-time stability (SGPFS) by the finite-time Lyapunov stability theorem, and the tracking errors of the system states converge to a tiny neighborhood of the origin in a finite time. The validity of this scheme is demonstrated by a simulation.
引用
收藏
页码:10637 / 10655
页数:19
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