Learning control algorithm and its validity of fuzzy frequency compensation for unknown plants
Kazuo A. TANAKA, M. Sano · 1994
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.>