Please use this identifier to cite or link to this item:
|Title:||Gain scheduling: From conventional to neuro-fuzzy|
|Authors:||Tan, S. |
|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.|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 24, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.