Title :
Fuzzy control based on reinforcement learning for voice coil motor
Author :
Liu, T.S. ; Chang, W.K.
Author_Institution :
Dept. of Mech. Eng., National Chiao Tung Univ.
Abstract :
Dealing with voice coil motors, this paper presents reinforcement learning based fuzzy control, which incorporates characteristics of reinforcement learning into fuzzy control. Fuzzy control has excellent characteristics of dealing with model uncertainty and nonlinearity. To complement and improve fuzzy control, reinforcement learning is used to process rough feedback signals. This work constructs fuzzy rules based model based on input-output data of plants and tune fuzzy membership functions by reinforcement learning
Keywords :
feedback; fuzzy control; learning (artificial intelligence); machine control; feedback signals; fuzzy control; fuzzy membership functions; fuzzy rules based model; reinforcement learning; voice coil motor; Coils; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Mechanical engineering; Nonlinear control systems; Signal processing; Supervised learning; Uncertainty;
Conference_Titel :
Computational Intelligence Methods and Applications, 2005 ICSC Congress on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0020-1
DOI :
10.1109/CIMA.2005.1662346
