A multivariable fuzzy generalized predictive control approach and its performance analysis

Author

Zhang Hua-Guang ; Bien, Zeungnam

Author_Institution

Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea

Volume

4

fYear

1998

fDate

21-26 Jun 1998

Firstpage

2276

Abstract

We use the Takagi-Sugeno fuzzy model to express nonlinear dynamic systems, and present a fast online identification algorithm. A multivariable fuzzy generalized predictive control approach is put forward based on the identified fuzzy model by means of Clark´s principle of single-variable generalized predictive control. The steady state performances and stability of the closed-loop system are analysed in detail too

Keywords

closed loop systems; control system analysis; fuzzy control; identification; multivariable control systems; nonlinear dynamical systems; predictive control; Takagi-Sugeno fuzzy model; closed-loop system; fast online identification algorithm; multivariable fuzzy generalized predictive control approach; nonlinear dynamic systems; performance analysis; single-variable generalized predictive control; steady state performances; Control systems; Fuzzy control; Fuzzy systems; Nonlinear dynamical systems; Performance analysis; Power system modeling; Predictive control; Predictive models; Stability; Steady-state;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1998. Proceedings of the 1998

Conference_Location

Philadelphia, PA

ISSN

0743-1619

Print_ISBN

0-7803-4530-4

Type

conf

DOI

10.1109/ACC.1998.703034

Filename

703034