DocumentCode :
456712
Title :
The Study of Multivariable Grey Generalized Predictive Control
Author :
Zhiwang, Chen ; Jianxiong, Li ; Hongrui, Wang
Author_Institution :
Inst. of Electr. Eng., Yanshan Univ., Qinhuangdao
Volume :
2
fYear :
2006
fDate :
Aug. 30 2006-Sept. 1 2006
Firstpage :
162
Lastpage :
166
Abstract :
A new generalized predictive control algorithm of MIMO systems based on grey model is presented in this paper. It establishes a grey model instead of CARIMA model, and eliminates the coupling of MIMO system by using feed-forward decoupling. It has the feature of identifying small parameters, and avoiding online solving the Diophantine equation and inverse matrix. So the computation load of algorithm can be reduced greatly, and real-time property is advanced. The simulation results show that the proposed algorithm is fast, efficient and feasible
Keywords :
MIMO systems; control system synthesis; feedforward; grey systems; linear matrix inequalities; multivariable control systems; predictive control; CARIMA model; Diophantine equation; MIMO system; feed-forward decoupling; grey model; inverse matrix; multivariable grey generalized predictive control algorithm; parameter identification; Computational modeling; Cost function; Equations; Feedforward systems; Industrial control; MIMO; Polynomials; Prediction algorithms; Predictive control; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
Type :
conf
DOI :
10.1109/ICICIC.2006.369
Filename :
1691953
Link To Document :
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