Finite-Time Adaptive Fuzzy Control for Nonlinear Systems With Full State Constraints

被引：263
作者：
Xia, Jianwei [1 ]
Zhang, Jing [1 ]
Sun, Wei [1 ]
Zhang, Baoyong [2 ]
Wang, Zhen [3 ]
机构：
[1] Liaocheng Univ, Sch Math Sci, Liaocheng 252059, Shandong, Peoples R China
[2] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China
[3] Shandong Univ Sci & Technol, Coll Informat Sci & Engn, Qingdao 266590, Shandong, Peoples R China
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2019年 / 49卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Adaptive fuzzy control; barrier Lyapunov function (BLF); finite-time control; full state constraints; BARRIER LYAPUNOV FUNCTIONS; STRICT-FEEDBACK SYSTEMS; NEURAL-NETWORKS; STABILIZATION; SYNCHRONIZATION; STABILITY; INPUT;
D O I：
10.1109/TSMC.2018.2854770
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper. an adaptive fuzzy controller is constructed to address the finite-time tracking control problem for a class of strict-feedback nonlinear systems, where the full state constraints are strictly required in the systems. Backstepping design with a tan-type barrier Lyapunov function is proposed. Meanwhile, fuzzy logic systems are used to approximate the unknown nonlinear functions. The addressed control scheme guarantees that the output is followed the reference signals within a bounded error. and all the signals in the closed-loop system are bounded. The simulation results demonstrate the validity of the proposed method.
引用
收藏
页码：1541 / 1548
页数：8
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