Title :
A fuzzy self-tuning controller design
Author :
Yu, Wen-Shyong ; Chiang, Jen-Wci
Author_Institution :
Dept. of Electr. Eng., Tatung Inst. of Technol., Taipei, Taiwan
Abstract :
We propose a new design method to overcome the singularity problem in a self-tuning control system when using the pole placement technique. This method uses the fuzzy gradient least squares estimation to identify the coefficients of the plant and guarantee the controllability of the estimated plant model. From the simulation results, it is seen that the proposed method can have satisfactory results
Keywords :
adaptive control; control system synthesis; controllability; fuzzy control; identification; least mean squares methods; pole assignment; self-adjusting systems; controllability; fuzzy gradient least squares estimation; fuzzy self-tuning controller design; plant coefficient identification; pole placement technique; simulation; singularity problem; Control system synthesis; Control systems; Controllability; Convergence; Fuzzy control; Fuzzy systems; Least squares approximation; Least squares methods; State feedback; Uncertainty;
Conference_Titel :
Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian
Conference_Location :
Kenting
Print_ISBN :
0-7803-3687-9
DOI :
10.1109/AFSS.1996.583591
