Title :
Fuzzy model reference learning control
Author :
Layne, J.R. ; Passino, K.M.
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
Abstract :
A learning controller that is developed by synthesizing several basic ideas from fuzzy set and control theory, self-organizing control, and conventional adaptive control is introduced. A learning mechanism that observes the plant outputs and adjusts the rules in a direct fuzzy controller so that the overall system behaves like a reference model is used. The effectiveness of this fuzzy model reference learning controller is evaluated by comparing its performance to that of a self-organizing controller for a cart and pendulum system
Keywords :
adaptive control; fuzzy control; fuzzy set theory; learning (artificial intelligence); model reference adaptive control systems; self-adjusting systems; adaptive control; cart-pendulum system; control theory; fuzzy model reference learning controller; fuzzy set theory; learning mechanism; self-organizing control; Automatic control; Closed loop systems; Control system synthesis; Control systems; Control theory; Feedback loop; Fuzzy control; Fuzzy set theory; Fuzzy systems; Organizing;
Conference_Titel :
Control Applications, 1992., First IEEE Conference on
Conference_Location :
Dayton, OH
Print_ISBN :
0-7803-0047-5
DOI :
10.1109/CCA.1992.269764
