Adaptive Model Following Control for a Class of Onlinear System Based on the Newton Iterative Algorithm

Author

Liu, Xiao-he ; Yin, Jie ; Wang, Yao-Hui

Author_Institution

Department of Computer Science and Automation Beijing Institution of Machinery, Beijing, 100085, China E-MAIL: liuxiaohe551026@163.com

Volume

1

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

649

Lastpage

653

Abstract

A novel adaptive reference model control design is proposed to approach for a class of nonlinear system. The general description of this system is presented. The conditions of the tracking control scheme are discussed. The design of feed forward matrix and the iterative regulative algorithm of feedback matrix are put forward, which may lead the system to meet a good tracking performance. This kind of design’s advantage is verified by the simulation results.

Keywords

Newton iterative algorithm; Nonlinear system; adaptive control; model following control; simulation; Adaptive control; Automatic control; Control systems; Design methodology; Iterative algorithms; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Programmable control; Newton iterative algorithm; Nonlinear system; adaptive control; model following control; simulation;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527024

Filename

1527024