Title :
Multivariable Integral Control System Based on Takagi-Sugeno Fuzzy Model
Author :
Luan, Xiu-chun ; Han, Wei-shi ; Young, Ai-guang ; Zhai, Yu ; Jiang, Yu
Author_Institution :
Harbin Eng. Univ., Harbin
Abstract :
Based on Takagi-Sugeno fuzzy model, employing parallel distributed compensation, the multivariable integral control and state observer in the linear system theory are applied to nonlinear systems for the problem of output tracking and rejecting disturbance with reference and/or disturbance signals in the form of step, and the fuzzy integral controller and fuzzy state observer are synthesized. The stability condition of continuous closed-loop fuzzy control system and a similar separation principle to the counterpart on observer design in the linear system theory are obtained.
Keywords :
closed loop systems; fuzzy control; linear systems; multivariable control systems; nonlinear control systems; observers; stability; Takagi-Sugeno fuzzy model; continuous closed-loop fuzzy control system; linear system theory; multivariable integral control system; nonlinear system; stability condition; state observer; Control system synthesis; Cybernetics; Fuzzy control; Fuzzy systems; Linear systems; Machine learning; Mathematical model; Nonlinear control systems; Stability; Takagi-Sugeno model; Multivariable integral control; Separation property; Stability condition; State observer; Takagi-Sugeno fuzzy model;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370349
