Title :
Intelligent nonlinear predictive control
Author :
Al-Gallaf, Ebrahim A
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Bahrain, Isa Town, Bahrain
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;
Conference_Titel :
GCC Conference (GCC), 2006 IEEE
Conference_Location :
Manama
Print_ISBN :
978-0-7803-9590-9
Electronic_ISBN :
978-0-7803-9591-6
DOI :
10.1109/IEEEGCC.2006.5686185
