Title :
Study of Fuzzy Generalized Predictive Control Algorithm On Nonlinear Systems
Author :
Li, Qiang ; Qu, Baocun ; Ge, Zhiqiang ; Zhan, Xisheng
Author_Institution :
Sch. of Inf. & Control Eng., Liaoning Univ. of Pet. & Chem. Technol., Fushun
fDate :
Aug. 30 2006-Sept. 1 2006
Abstract :
A novel control algorithm - fuzzy generalized predictive control (FGPC) algorithm for nonlinear systems is proposed. Fuzzy Gustafon-Kessel algorithm and weighted recursive least-square method are applied to identify the T-S model offline. The identified model is then combined with generalized predictive control algorithm to control non-linear systems. And the detailed steps of the algorithm have been given. The simulation results prove that the proposed algorithm has a high degree of identification accuracy, good robustness, and has obtained a good control result, and therefore is applicable for a variety of non-linear systems
Keywords :
control engineering computing; fuzzy control; least squares approximations; nonlinear control systems; predictive control; FGPC algorithm; computer control; fuzzy Gustafon-Kessel algorithm; fuzzy generalized predictive control algorithm; nonlinear system; weighted recursive least-square method; Control system synthesis; Control systems; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Prediction algorithms; Predictive control; Predictive models; Robust control;
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
DOI :
10.1109/ICICIC.2006.159
