Adaptive fuzzy constraint control for switched nonlinear systems in nonstrict feedback form

被引：6
作者：
Tang, Li [1 ]
Yang, Meiying [1 ]
Sun, Jing [1 ]
机构：
[1] Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Liaoning, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING | 2021年 / 35卷 / 08期
基金：
中国国家自然科学基金;
关键词：
adaptive control; fuzzy logic systems; state constraint; switched systems; NEURAL-NETWORK; TRACKING CONTROL; STATE CONSTRAINTS; CONTROL DESIGN; TIME-SYSTEMS; STABILITY;
D O I：
10.1002/acs.3277
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, the adaptive fuzzy controller design problem is investigated for a class of switched nonlinear systems in nonstrict feedback form, in which the unknown functions are considered and are approximated. Moreover, the system states are constrained in corresponding compact. By using Barrier Lypunov function method and backstepping technique, the adaptive fuzzy controller is designed such that all the signals in the closed-loop system are bounded, the system output can track the desired signal to small compact, and all the system states satisfy the constraint conditions. Finally, the simulation results show the effectiveness of the proposed method.
引用
收藏
页码：1594 / 1611
页数：18
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