Title :
Learning control algorithm and its validity of fuzzy frequency compensation for unknown plants
Author :
Tanaka, Kazuo ; Sano, Makoto
Author_Institution :
Dept. of Mech. Syst. Eng., Kanazawa Univ., Japan
Abstract :
This paper discusses a learning control algorithm and its validity of fuzzy frequency compensation, which is a compensation method based on frequency domain, for unknown plants. We consider two types of learning algorithm. One is a learning algorithm for single-variable systems. The other is a learning algorithm for multivariable systems. We apply the learning algorithm to trajectory control of a computer simulated automobile robot and show the validity of the learning algorithm from the viewpoint of frequency domain
Keywords :
compensation; frequency-domain analysis; fuzzy control; intelligent control; learning systems; mobile robots; multivariable control systems; position control; frequency domain; fuzzy frequency compensation; learning control algorithm; multivariable systems; simulated automobile robot; single-variable systems; trajectory control; Automobiles; Computational modeling; Computer simulation; Control systems; Frequency domain analysis; Fuzzy control; Fuzzy sets; Fuzzy systems; Open loop systems; Transfer functions;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343833
