Title :
The Adaptive Control for a Class of Nonlinear Systems Based on Dynamic Approximate Full Parameter Model Nonlinearization
Author_Institution :
Dept. of Autom., Heilongjiang Univ., Harbin, China
Abstract :
The adaptive control law, the noise estimator and the recursive adaptive parameter predicting algorithm are presented for a class of nonlinear discrete systems with multiple time delays based on dynamic approximate second-order increment full parameter recursive predicting model nonlinearization. They realize the adaptive control for the time-delayed nonlinear systems with larger time delays. The simulation results for several typical nonlinear systems show the correctness and effectiveness of the proposed algorithm.
Keywords :
adaptive control; approximation theory; delays; discrete systems; nonlinear control systems; adaptive control; dynamic approximate full parameter model nonlinearization; noise estimator; nonlinear discrete systems; nonlinear systems; recursive adaptive parameter predicting algorithm; time delays; Adaptive control; Control systems; Delay effects; Linear approximation; Nonlinear dynamical systems; Nonlinear systems; Prediction algorithms; Predictive models; Programmable control; Recursive estimation; adaptive control; dynamic approximate second-order nonlinearization; nonlinear system; recursive adaptive parameter prediction; recursive increment full parameter predicting model;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
Conference_Location :
Hangzhou, Zhejiang
Print_ISBN :
978-0-7695-3752-8
DOI :
10.1109/IHMSC.2009.175
