Title :
The predictive control for nonlinear systems based on dynamic approximate Hammerstein model
Author :
Hu, Zhiqiang ; Hu, Bo ; Liu, Yong ; Wang, Shigang ; Liu, Siming
Author_Institution :
Electr. Eng. Inst., Heilongjiang Univ., Harbin, China
Abstract :
The generalized predictive control algorithm, it´s parameter adaptive recursive predicting is presented for nonlinear discrete-time systems with heavy delays based on dynamic approximate Hammerstein model nonlinearization increment minimized recursive predicting model method. generalized predictive control is employed for nonlinear systems with heavy 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; delay systems; discrete time systems; nonlinear control systems; predictive control; delay; dynamic approximate Hammerstein model; generalized predictive control algorithm; nonlinear discrete-time system; nonlinearization; parameter adaptive recursive prediction; Adaptation models; Educational institutions; Heuristic algorithms; Nonlinear systems; Prediction algorithms; Predictive control; Predictive models; Hammerstein model; dynamic approximate nonlinearization; generalized predictive control; increment minimized recursive predictive model; nonlinear systems; parameter adaptive recursive predicting;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6358363
