Adaptive NN Dynamic Surface Control for a Class of Uncertain Pure-feedback Systems

被引：0
|
作者：
Li, XiaoQiang [1 ]
Liu, Leipo [1 ]
Fu, Zhumu [1 ]
Yuan, Lan [2 ]
机构：
[1] Henan Univ Sci & Technol, Coll Informat Engn, Luoyang 471023, Henan Province, Peoples R China
[2] Henan Univ Sci & Technol, Coll Elect Engn, Luoyang 471023, Henan Province, Peoples R China
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA) | 2016年
基金：
美国国家科学基金会;
关键词：
Pure-Feedback System; Dynamic Surface Control; Backstepping; NONLINEAR-SYSTEMS; NEURAL-CONTROL; DESIGN;
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：
The tracking control problem of a class of pure-feedback system with uncertainty is considered. Dynamic surface control (DSC) design technique is used to avoid the problem of "explosion of complexity" in the traditional backstepping algorithm and overcome the circular construction of controller from function approximator in the backstepping design. Combining backstepping technique and neural network theorem, a semi-global uniformly ultimately bounded controller based on the Lyapunov stability theory is given. A simulation example is presented to demonstrate the method.
引用
收藏
页码：1414 / 1419
页数：6
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