Direct Adaptive Neural Control Scheme for Discrete Time Affine Nonlinear Systems

被引：0
|
作者：
Kar, Indrani [1 ]
Behera, Laxmidhar [1 ]
机构：
[1] Indian Inst Technol, Dept Elect Engn, Kanpur 208016, Uttar Pradesh, India
来源：
PROCEEDINGS OF THE 2008 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL | 2008年
关键词：
Direct Adaptive Control; Affine Systems; Radial Basis Function Networks; Feedback Linearization;
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 feedback linearization based direct adaptive neural control scheme is proposed for a class of affine nonlinear discrete time systems. Two radial basis function networks are used to approximate the unknown system dynamics. The weight update laws for the networks are derived to make the closed loop error dynamics Lyapunov stable. The proposed control scheme removes the need for any projection algorithm or additional control action presented in the literature. Simulation results are presented to demonstrate the theoretical formulations.
引用
收藏
页码：191 / 196
页数：6
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