Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/62241
Title: Gain scheduling: From conventional to neuro-fuzzy
Authors: Tan, S. 
Hang, C.-C. 
Chai, J.-S. 
Keywords: Fuzzy inferencing
Gain scheduling
Neural networks
Neuro-fuzzy systems
Issue Date: Mar-1997
Source: Tan, S.,Hang, C.-C.,Chai, J.-S. (1997-03). Gain scheduling: From conventional to neuro-fuzzy. Automatica 33 (3) : 411-419. ScholarBank@NUS Repository.
Abstract: We review the conventional and fuzzy gain scheduling techniques developed so far, and highlight their advantages and problems. The neural network gain scheduling and neuro-fuzzy gain scheduling schemes are then developed. A simulation study is conducted to reveal the new features and the performance improvement of the neuro-fuzzy gain scheduling over other gain scheduling methods. © 1997 Elsevier Science Ltd.
Source Title: Automatica
URI: http://scholarbank.nus.edu.sg/handle/10635/62241
ISSN: 00051098
Appears in Collections:Staff Publications

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