Title :
The predictive control for a class of nonlinear systems based on dynamic approximate hammerstein model
Author :
Zhiqiang, Hu ; Bo, Hu ; Yong, Liu ; Shigang, Wang ; Ying, Wang ; Siming, Liu
Author_Institution :
Coll. of Electr. Eng., Heilongjiang Univ., Harbin, China
Abstract :
The increment minimized recursive predicting model, the generalized predicting control law and the parameter adaptive recursive predicting algorithm are presented for a class of nonlinear discrete-time systems with time delays based on dynamic approximate Hammerstein model. They realize the generalized predicting control for the time-delayed nonlinear systems with larger time delays. The simulation results prove the correctness and effectiveness of the proposed algorithm for direct generalized predictive control of a class of nonlinear systems.
Keywords :
adaptive systems; approximation theory; delays; discrete time systems; dynamic programming; minimisation; nonlinear control systems; predictive control; recursive estimation; time-varying systems; discrete time system; dynamic approximate Hammerstein model; generalized predicting control law; increment minimized recursive predicting model; nonlinear control system; parameter adaptive recursive predicting algorithm; time delay; time delayed system; Adaptation models; Educational institutions; Heuristic algorithms; Nonlinear systems; Prediction algorithms; Predictive control; Predictive models; Hammerstein model; direct generalized predictive control; dynamic approximate nonlinearization; increment minimized recursive predictive model; nonlinear systems; parameter adaptive recursive predicting;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
