Title :
The Nonlinear Adaptive Control for a Class of Based on Dynamic Approximate Higher-Order Nonlinearization
Author_Institution :
Dept. of Autom., Heilongjiang Univ., Harbin
Abstract :
The adaptive control algorithm, it´s parameter adaptive recursive predicting and noise estimator unified form are 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 of NARMAX model (with time delays and noise increment higher-order Volterra model), 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; control nonlinearities; delays; discrete time systems; nonlinear control systems; recursive estimation; NARMAX model; dynamic approximate higher-order nonlinearization; heavy multiple time delays; higher-order nonlinearization increment minimized recursive predicting model; noise estimator unified form; noise increment higher-order Volterra model; nonlinear adaptive control; nonlinear discrete-time systems; nonlinear systems; parameter adaptive recursive predicting; Adaptive control; Adaptive systems; Automation; Control system synthesis; Delay effects; Delay estimation; Nonlinear systems; Predictive models; Programmable control; Recursive estimation; adaptive control; dynamic approximate any higher-order nonlinearization; increment minimized recursive predictive model; nonlinear systems; parameter adaptive recursive predicting; with time delays and noise increment higher-order Volterra model;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712804
