Title :
The Adaptive Control for a Class of Nonlinear Systems Based on Dynamic Approximate Non-Linearization
Author_Institution :
Dept. of Autom., Heilongjiang Univ., Harbin, China
Abstract :
The adaptive control algorithm, its parameter adaptive recursive predicting and noise estimator is presented for a class of nonlinear discrete-time systems with multiple time delays based on dynamic approximate second-order nonlinear increment minimized recursive predicting model method. The 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; approximation theory; delays; discrete time systems; nonlinear control systems; adaptive control; dynamic approximate second-order nonlinearization; increment minimized recursive predictive model; multiple time delay; noise estimator; nonlinear discrete-time system; parameter adaptive recursive prediction; Adaptive control; Automation; Delay effects; Delay estimation; Electronic mail; IEEE catalog; Nonlinear systems; Predictive models; Programmable control; Recursive estimation; adaptive control; dynamic approximate second-order non-linearization; increment minimized recursive predictive model; nonlinear systems; parameter adaptive recursive predicting;
Conference_Titel :
Control Conference, 2006. CCC 2006. Chinese
Conference_Location :
Harbin
Print_ISBN :
7-81077-802-1
DOI :
10.1109/CHICC.2006.280973
