Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/61709
Title: A self-learning fuzzy controller for embedded applications
Authors: Tan, W.W. 
Dexter, A.L.
Keywords: Adaptive fuzzy control on-line training
Issue Date: 2000
Source: Tan, W.W.,Dexter, A.L. (2000). A self-learning fuzzy controller for embedded applications. Automatica 36 (8) : 1189-1198. ScholarBank@NUS Repository.
Abstract: The paper examines the behaviour of a fuzzy feedforward controller which is trained on-line using a recursive fuzzy identification scheme with local exponential weighting. The control algorithm is derived and its equivalence to conventional proportional-plus-integral control action is established to help in commissioning the controller. The sensitivity of the training algorithm to the distribution of the training data is considered and a modification is proposed that will eliminate training errors. Lastly, experimental results are presented that show that the self-learning controller is able to control the temperature in a liquid helium cryostat which has significant non-linearities. © 2000 Elsevier Science Ltd. All rights reserved.
Source Title: Automatica
URI: http://scholarbank.nus.edu.sg/handle/10635/61709
ISSN: 00051098
Appears in Collections:Staff Publications

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