DocumentCode
2041788
Title
Intelligent nonlinear predictive control
Author
Al-Gallaf, Ebrahim A
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. of Bahrain, Isa Town, Bahrain
fYear
2006
fDate
20-22 March 2006
Firstpage
1
Lastpage
6
Abstract
This research article presents a Fuzzy structure for a Model Predictive Control (MPC) system. MPC theorem has recently been incorporated with fuzzy models. Such an integration provides controller design methods for an MPC control system. The paper concentrates on aspects of fuzzy based MPC for multivariable systems. Mathematical formulation of linearized MPC is utilized to introduce the concept of fuzzy based MPC scheme, then fuzzy MPC is constructed based on a modeled pH reactor.
Keywords
control system synthesis; fuzzy control; fuzzy set theory; intelligent control; multivariable systems; nonlinear control systems; predictive control; MPC control system; controller design methods; fuzzy structure; intelligent nonlinear predictive control; model predictive control system; multivariable systems; pH reactor; Adaptation model; Computational modeling; Fuzzy systems; Inductors; Mathematical model; Predictive control; Predictive models; Fuzzy Control; MPC; Nonlinear System;
fLanguage
English
Publisher
ieee
Conference_Titel
GCC Conference (GCC), 2006 IEEE
Conference_Location
Manama
Print_ISBN
978-0-7803-9590-9
Electronic_ISBN
978-0-7803-9591-6
Type
conf
DOI
10.1109/IEEEGCC.2006.5686185
Filename
5686185
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