Direct model reference adaptive controller based-on neural-fuzzy techniques for nonlinear dynamical systems
This paper presents a direct neural-fuzzy-based Model Reference Adaptive Controller (MRAC) for nonlinear dynamical systems with unknown parameters. The two-phase learning is implemented to perform structure identification and parameter estimation for the controller. In the first phase, similarity in...
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| Format: | Article |
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Science Publications
2008
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| Online Access: | http://eprints.utm.my/7341/ http://doi.dx.org/10.3844/ajassp.2008.769.776 |
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| _version_ | 1845471792435560448 |
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| author | Husain, Hafizah Khalid, Marzuki Yusof, Rubiyah |
| author_facet | Husain, Hafizah Khalid, Marzuki Yusof, Rubiyah |
| author_sort | Husain, Hafizah |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper presents a direct neural-fuzzy-based Model Reference Adaptive Controller (MRAC) for nonlinear dynamical systems with unknown parameters. The two-phase learning is implemented to perform structure identification and parameter estimation for the controller. In the first phase, similarity index-based fuzzy c-means clustering technique extracts the fuzzy rules in the premise part for the neural-fuzzy controller. This technique enables the recruitment of rule parameters in accordance to the number of clusters and kernel centers it automatically generated. In the second phase, the parameters of the controller are directly tuned from the training data via the tracking error. The consequent parts of the rules are thus determined. This iterative process employs Radial Basis Function Neural Network (RBFNN) structure with a reference model to provide a closed-loop performance feedback. |
| format | Article |
| id | my.utm.eprints-7341 |
| institution | Universiti Teknologi Malaysia |
| publishDate | 2008 |
| publisher | Science Publications |
| record_format | eprints |
| spelling | my.utm.eprints-73412017-10-23T01:47:23Z http://eprints.utm.my/7341/ Direct model reference adaptive controller based-on neural-fuzzy techniques for nonlinear dynamical systems Husain, Hafizah Khalid, Marzuki Yusof, Rubiyah TK Electrical engineering. Electronics Nuclear engineering This paper presents a direct neural-fuzzy-based Model Reference Adaptive Controller (MRAC) for nonlinear dynamical systems with unknown parameters. The two-phase learning is implemented to perform structure identification and parameter estimation for the controller. In the first phase, similarity index-based fuzzy c-means clustering technique extracts the fuzzy rules in the premise part for the neural-fuzzy controller. This technique enables the recruitment of rule parameters in accordance to the number of clusters and kernel centers it automatically generated. In the second phase, the parameters of the controller are directly tuned from the training data via the tracking error. The consequent parts of the rules are thus determined. This iterative process employs Radial Basis Function Neural Network (RBFNN) structure with a reference model to provide a closed-loop performance feedback. Science Publications 2008 Article PeerReviewed Husain, Hafizah and Khalid, Marzuki and Yusof, Rubiyah (2008) Direct model reference adaptive controller based-on neural-fuzzy techniques for nonlinear dynamical systems. American Journal of Applied Sciences, 5 (7). pp. 769-776. ISSN 1546-9239 http://doi.dx.org/10.3844/ajassp.2008.769.776 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Husain, Hafizah Khalid, Marzuki Yusof, Rubiyah Direct model reference adaptive controller based-on neural-fuzzy techniques for nonlinear dynamical systems |
| title | Direct model reference adaptive controller based-on neural-fuzzy techniques for nonlinear dynamical systems
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| title_full | Direct model reference adaptive controller based-on neural-fuzzy techniques for nonlinear dynamical systems
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| title_fullStr | Direct model reference adaptive controller based-on neural-fuzzy techniques for nonlinear dynamical systems
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| title_full_unstemmed | Direct model reference adaptive controller based-on neural-fuzzy techniques for nonlinear dynamical systems
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| title_short | Direct model reference adaptive controller based-on neural-fuzzy techniques for nonlinear dynamical systems
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| title_sort | direct model reference adaptive controller based-on neural-fuzzy techniques for nonlinear dynamical systems |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/7341/ http://doi.dx.org/10.3844/ajassp.2008.769.776 |
| url_provider | http://eprints.utm.my/ |