Title :
A new approach to adaptive fuzzy control
Author :
Kang, Hyung-Jin ; Son, Hongyoup ; Kwon, Cheol ; Park, Mignon
Author_Institution :
Dept. of Electron. Eng., Yonsei Univ., Seoul, South Korea
Abstract :
In this paper, we have proposed the new approach to the indirect adaptive fuzzy control algorithms using Takagi-Sugeno fuzzy model. The regulation problem for the SISO nonlinear system is solved by the proposed algorithm. Using the advanced stability theory, the stability of the state, the control gain and the estimation error is proved. The performance of the proposed algorithm is illustrated by a simple example
Keywords :
adaptive control; fuzzy control; nonlinear control systems; stability; SISO nonlinear system; Takagi-Sugeno fuzzy model; advanced stability theory; control gain; estimation error; indirect adaptive fuzzy control; state stability; Adaptive control; Equations; Estimation error; Feedback; Fuzzy control; Nonlinear systems; Programmable control; Stability; Symmetric matrices; Takagi-Sugeno model;
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4863-X
DOI :
10.1109/FUZZY.1998.687495
