Title :
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
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;
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-4530-4
DOI :
10.1109/ACC.1998.703034
