DocumentCode :
3220202
Title :
On the exact output regulation for Takagi-Sugeno fuzzy systems
Author :
Meda-Campana, J.A. ; Gomez-Mancilla, J.C. ; Castillo-Toledo, B.
Author_Institution :
Mech. Eng. Dept., SEPI-ESIME Zacatenco of Nat. Polytech. Inst., Mexico City, Mexico
fYear :
2010
fDate :
9-11 June 2010
Firstpage :
417
Lastpage :
422
Abstract :
In this paper, the Takagi-Sugeno (TS) fuzzy modelling and the fuzzy regulation theory are considered in order to design a fuzzy controller capable of taking the output of a fuzzy plant to the reference signal generated by an external system. It is well-known that TS fuzzy modelling allows the stabilizer to be obtained by means of numerical techniques. As a result, stability region defined by the fuzzy stabilizer is larger than the one obtained when a simple linear stabilizer is considered. On the other hand, a fuzzy regulator constructed from linear controllers does not solve the exact regulation problem in general [6], [12], [13], [15]. Therefore, a fully nonlinear regulator, defined on the overall TS fuzzy model, is considered in this work. The results are applied on a simple fuzzy model in order to illustrate the improvement achieved with the proposed approach.
Keywords :
control system synthesis; fuzzy control; fuzzy set theory; fuzzy systems; nonlinear control systems; stability; TS fuzzy system; Takagi-Sugeno fuzzy system; fuzzy controller; fuzzy regulation theory; fuzzy stabilizer; linear stabilizer; nonlinear regulator; Automation; Cost function; Fuzzy systems; Lagrangian functions; Logistics; Marine vehicles; Mathematical model; Optimization methods; Stochastic processes; Takagi-Sugeno model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation (ICCA), 2010 8th IEEE International Conference on
Conference_Location :
Xiamen
ISSN :
1948-3449
Print_ISBN :
978-1-4244-5195-1
Electronic_ISBN :
1948-3449
Type :
conf
DOI :
10.1109/ICCA.2010.5524347
Filename :
5524347
Link To Document :
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