Rule-bases construction through self-learning for a table-based Sugeno-Takagi fuzzy logic control system
A self-learning based methodology for building the rule-base of a fuzzy logic controller (FLC) is presented and verified, aiming to engage intelligent characteristics to a fuzzy logic control systems. The methodology is a simplified version of those presented in today literature. Some aspects are in...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Editura Universităţii "Petru Maior"
2009-12-01
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| Series: | Scientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș |
| Subjects: | |
| Online Access: | http://scientificbulletin.upm.ro/papers/2009/10/Rule-bases-construction-through-self-learning-for-a-table-based-Sugeno-Takagi-fuzzy-logic-control-system.pdf |
| _version_ | 1811252796138192896 |
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| author | C. Boldisor V. Comnac S. Coman A. Acreala |
| author_facet | C. Boldisor V. Comnac S. Coman A. Acreala |
| author_sort | C. Boldisor |
| collection | DOAJ |
| description | A self-learning based methodology for building the rule-base of a fuzzy logic controller (FLC) is presented and verified, aiming to engage intelligent characteristics to a fuzzy logic control systems. The methodology is a simplified version of those presented in today literature. Some aspects are intentionally ignored since it rarely appears in control system engineering and a SISO process is considered here. The fuzzy inference system obtained is a table-based Sugeno-Takagi type. System’s desired performance is defined by a reference model and rules are extracted from recorded data, after the correct control actions are learned. The presented algorithm is tested in constructing the rule-base of a fuzzy controller for a DC drive application. System’s performances and method’s viability are analyzed. |
| first_indexed | 2024-04-12T16:41:01Z |
| format | Article |
| id | doaj.art-0e46c67393c04c7ba67afc5e5b9f5ddc |
| institution | Directory Open Access Journal |
| issn | 1841-9267 2285-438X |
| language | English |
| last_indexed | 2024-04-12T16:41:01Z |
| publishDate | 2009-12-01 |
| publisher | Editura Universităţii "Petru Maior" |
| record_format | Article |
| series | Scientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș |
| spelling | doaj.art-0e46c67393c04c7ba67afc5e5b9f5ddc2022-12-22T03:24:47ZengEditura Universităţii "Petru Maior"Scientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș1841-92672285-438X2009-12-016 (XXIII)24651Rule-bases construction through self-learning for a table-based Sugeno-Takagi fuzzy logic control systemC. BoldisorV. ComnacS. ComanA. AcrealaA self-learning based methodology for building the rule-base of a fuzzy logic controller (FLC) is presented and verified, aiming to engage intelligent characteristics to a fuzzy logic control systems. The methodology is a simplified version of those presented in today literature. Some aspects are intentionally ignored since it rarely appears in control system engineering and a SISO process is considered here. The fuzzy inference system obtained is a table-based Sugeno-Takagi type. System’s desired performance is defined by a reference model and rules are extracted from recorded data, after the correct control actions are learned. The presented algorithm is tested in constructing the rule-base of a fuzzy controller for a DC drive application. System’s performances and method’s viability are analyzed.http://scientificbulletin.upm.ro/papers/2009/10/Rule-bases-construction-through-self-learning-for-a-table-based-Sugeno-Takagi-fuzzy-logic-control-system.pdffuzzy logic controllerSugeno-Takagi fuzzy reasoningDC drive fuzzy control application |
| spellingShingle | C. Boldisor V. Comnac S. Coman A. Acreala Rule-bases construction through self-learning for a table-based Sugeno-Takagi fuzzy logic control system Scientific Bulletin of the ''Petru Maior" University of Tîrgu Mureș fuzzy logic controller Sugeno-Takagi fuzzy reasoning DC drive fuzzy control application |
| title | Rule-bases construction through self-learning for a table-based Sugeno-Takagi fuzzy logic control system |
| title_full | Rule-bases construction through self-learning for a table-based Sugeno-Takagi fuzzy logic control system |
| title_fullStr | Rule-bases construction through self-learning for a table-based Sugeno-Takagi fuzzy logic control system |
| title_full_unstemmed | Rule-bases construction through self-learning for a table-based Sugeno-Takagi fuzzy logic control system |
| title_short | Rule-bases construction through self-learning for a table-based Sugeno-Takagi fuzzy logic control system |
| title_sort | rule bases construction through self learning for a table based sugeno takagi fuzzy logic control system |
| topic | fuzzy logic controller Sugeno-Takagi fuzzy reasoning DC drive fuzzy control application |
| url | http://scientificbulletin.upm.ro/papers/2009/10/Rule-bases-construction-through-self-learning-for-a-table-based-Sugeno-Takagi-fuzzy-logic-control-system.pdf |
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