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

fYear

2012

fDate

6-8 July 2012

Firstpage

2887

Lastpage

2890

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2012 10th World Congress on

Conference_Location

Beijing

Print_ISBN

978-1-4673-1397-1

Type

conf

DOI

10.1109/WCICA.2012.6358363

Filename

6358363