Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527024
