Title :
The adaptive control for nonlinear systems based on dynamic approximate any higher-order Hammerstein model
Author :
Hu, Zhiqiang ; Sun, Xiaojun ; Chen, Longfa ; Liu, Siming
Author_Institution :
Electr. Eng. Inst., Heilongjiang Univ., Harbin, China
Abstract :
The increment minimized recursive predicting model, the adaptive control law and the recursive adaptive parameter predicting algorithm unified form are presented for a class of nonlinear discrete-time systems with time delays based on dynamic approximate any higher-order Hammerstein model. They realize the adaptive control for the time-delayed nonlinear systems with larger time delays. The simulation results show the correctness and effectiveness of the proposed algorithm for a class of nonlinear systems.
Keywords :
adaptive control; delays; discrete time systems; nonlinear control systems; recursive estimation; adaptive control law; dynamic approximate; higher-order Hammerstein model; increment minimized recursive predicting model; nonlinear discrete-time systems; recursive adaptive parameter predicting algorithm unified form; time delays; time-delayed nonlinear systems; Adaptation models; Adaptive control; Algorithm design and analysis; Approximation algorithms; Heuristic algorithms; Nonlinear systems; Prediction algorithms;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
DOI :
10.1109/ICICIP.2011.6008194
