Title :
The adaptive control for a class of nonlinear systems based on dynamic approximate any higher-order nonlinearization
Author_Institution :
Dept. of Autom., Heilongjiang Hydraulic Eng. Coll., Harbin, China
Abstract :
The adaptive control algorithm, it´s parameter adaptive recursive predicting and noise estimator unified form is presented for a class of nonlinear discrete-time systems with multiple time delays based on dynamic approximate any higher-order nonlinearization increment minimized recursive predicting model method. Adaptive control is employed for nonlinear systems with heavy multiple time delays, the simulation result for several typical nonlinear systems are given to demonstrate the correctness and effectiveness of approach proposed.
Keywords :
adaptive control; nonlinear control systems; parameter estimation; adaptive control; adaptive control algorithm; higher-order nonlinearization increment minimized recursive predicting model; noise estimator; nonlinear discrete-time systems; nonlinear systems; parameter adaptive recursive; Adaptive control; Automation; Delay effects; Delay estimation; Educational institutions; Intelligent control; Nonlinear systems; Predictive models; Programmable control; Recursive estimation;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1022200