Fuzzy adaptive control for a class of uncertain nonlinear pure-feedback systems with full state constraints

被引：0
作者：
Liu, Wei [1 ,2 ]
Zhao, Jianrong [1 ]
机构：
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China
[2] Huaian Vocat Coll Informat Technol, Sch Elect Engn, Huaian 223003, Jiangsu, Peoples R China
来源：
2018 CHINESE AUTOMATION CONGRESS (CAC) | 2018年
基金：
中国国家自然科学基金;
关键词：
Full-state constraints; Barrier Lyapunov function; pure-feedback systems; dynamic surface control; BARRIER LYAPUNOV FUNCTIONS; DYNAMIC SURFACE CONTROL; TRACKING CONTROL;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A fuzzy adaptive control problem is discussed for a class of pure-feedback nonlinear systems with full-state constraints in this paper. Based on the dynamic surface control technique and fuzzy approximator, an adaptive control design method is constructed for the system studied. A Barrier Lyapunov function is introduced in every design step to cope with the problem of full-state constraints. It's shown that all the signals are ultimately bounded in the closed-loop system, and the full-state constraints are never he violated. A numerical example is provided to verify the effectiveness of the proposed approach.
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页码：1 / 6
页数：6
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