Please use this identifier to cite or link to this item:
https://dspace.univ-ouargla.dz/jspui/handle/123456789/3680
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Talbi .N, Belarbi .K | - |
dc.date.accessioned | 2013-12-22T11:21:18Z | - |
dc.date.available | 2013-12-22T11:21:18Z | - |
dc.date.issued | 2013-12-22 | - |
dc.identifier.issn | MO | - |
dc.identifier.uri | http://hdl.handle.net/123456789/3680 | - |
dc.description | The International Conference on Electronics & Oil ICEO11 March 1-2 2011 | en_US |
dc.description.abstract | Fuzzy controllers are represented by if-then rules and thus can provide a user friendly and understandable knowledge representation. Metaheuristic algorithms have been widely used for optimal design of fuzzy controllers. In this paper, we propose new autotuning fuzzy PD controllers using Tabu Search (TS) for generating knowledge bases for fuzzy logic systems. The algorithm dynamically adjusts the membership functions and fuzzy rules according to different environments. it was tested on the control of angle of inverted pendulum | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | 2011; | - |
dc.subject | Fuzzy PD controller | en_US |
dc.subject | Tuning Fuzzy PD controller | en_US |
dc.subject | Tabu Search | en_US |
dc.title | Tuning Fuzzy PD controller using Tabu Search | en_US |
dc.type | Article | en_US |
Appears in Collections: | 3. Faculté des sciences appliquées |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Talbi .N.pdf | 1,64 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.