Title :
A self-learning fuzzy controller
Author :
Chen, Ying-Yu ; Lin, K.-Z. ; Hsu, Shun-Tang
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
A learning scheme for the fuzzy control systems is proposed. The scheme can find proper control actions in the rule-base of a fuzzy controller for a number of different dynamic systems, including the cart-pole system. The learning scheme, which involves the ideas of temporal difference and fuzzy control, can construct a fuzzy controller, which can serve the control purpose on its own after the learning process. A number of different plant dynamics have also been tested, and the results suggest that the method is universal enough to control processes other than the commonly seen inverted pendulum
Keywords :
fuzzy control; intelligent control; learning (artificial intelligence); self-adjusting systems; cart-pole system; dynamic systems; intelligent control; self-learning fuzzy controller; temporal difference; Cameras; Control systems; Eyes; Force control; Fuzzy control; Fuzzy systems; Learning systems; Process control; Testing; Washing machines;
Conference_Titel :
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0236-2
DOI :
10.1109/FUZZY.1992.258616