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|Title:||Gain scheduling: From conventional to neuro-fuzzy||Authors:||Tan, S.
|Issue Date:||Mar-1997||Citation:||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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