Pole Placement Controller Design Based on Fuzzy Process Model (CROSBI ID 505181)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Cupec, Robert ; Perić, Nedjeljko ; Petrović, Ivan
engleski
Pole Placement Controller Design Based on Fuzzy Process Model
An explicit self-tuning controller based on the Takagi-Sugeno fuzzy model of the process is proposed. The fuzzy model is represented as a linear regression model whose parameters are functions of some of the process variables. Such a model can be considered as a linear time-varying model whose parameter values are known at every moment. The pole placement design procedure modified for time-varying systems is applied to obtain the polynomial controller parameters that provide the desired closed-loop poles. The proposed algorithm is very simple, and thus suitable for on-line controller design in adaptive control systems.
fuzzy control; fuzzy modeling; adaptive control
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Podaci o prilogu
223-228-x.
2000.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of IFAC Symposium on Artificial Intelligence in Real Time Control - AIRTC 2000
Rudas, Imre J. ; Tar, Jozsef K.
Budimpešta:
Podaci o skupu
IFAC Symposium on Artificial Intelligence in Real Time Control, AIRTC-2000
predavanje
02.10.2000-04.10.2000
Budimpešta, Mađarska