Please use this identifier to cite or link to this item:
https://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 | 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 |
Show full item record
Files in This Item:
There are no files associated with this item.
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.