Intelligent identification of uncertainty bounds for robust servo controlled system
In this paper a new intelligent identification method of uncertainty bound utilizes an adaptive neurofuzzy inference system (ANFIS) in a feedback scheme isnproposed. The proposed ANFIS feedback structurenperforms better in determining the uncertainty bounds withnminimum number of iterations and erro...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/5385/ http://irep.iium.edu.my/5385/1/iccaie2010_safanah.pdf |
| _version_ | 1848776493595885568 |
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| author | M. Raafat, Safanah Akmeliawati, Rini Martono, Wahyudi |
| author_facet | M. Raafat, Safanah Akmeliawati, Rini Martono, Wahyudi |
| author_sort | M. Raafat, Safanah |
| building | IIUM Repository |
| collection | Online Access |
| description | In this paper a new intelligent identification method of uncertainty bound utilizes an adaptive neurofuzzy inference system (ANFIS) in a feedback scheme isnproposed. The proposed ANFIS feedback structurenperforms better in determining the uncertainty bounds withnminimum number of iterations and error. In our proposedntechnique, the intelligent identified uncertainty weightingnfunction is validated utilizing v-gap to ensure the stability of
the designed H� controlled system. Our proposed intelligent
identification of uncertainty bound is demonstrated on a
servo motion system. Simulation and experimental results
show that the new ANFIS identifier is more reliable and
highly efficient in estimating the best uncertainty weightingnfunction for robust controller design |
| first_indexed | 2025-11-14T14:30:58Z |
| format | Proceeding Paper |
| id | iium-5385 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:30:58Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-53852012-01-25T00:19:23Z http://irep.iium.edu.my/5385/ Intelligent identification of uncertainty bounds for robust servo controlled system M. Raafat, Safanah Akmeliawati, Rini Martono, Wahyudi TJ212 Control engineering In this paper a new intelligent identification method of uncertainty bound utilizes an adaptive neurofuzzy inference system (ANFIS) in a feedback scheme isnproposed. The proposed ANFIS feedback structurenperforms better in determining the uncertainty bounds withnminimum number of iterations and error. In our proposedntechnique, the intelligent identified uncertainty weightingnfunction is validated utilizing v-gap to ensure the stability of the designed H� controlled system. Our proposed intelligent identification of uncertainty bound is demonstrated on a servo motion system. Simulation and experimental results show that the new ANFIS identifier is more reliable and highly efficient in estimating the best uncertainty weightingnfunction for robust controller design 2010 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/5385/1/iccaie2010_safanah.pdf M. Raafat, Safanah and Akmeliawati, Rini and Martono, Wahyudi (2010) Intelligent identification of uncertainty bounds for robust servo controlled system. In: 2010 International Conference on Computer Applications and Industrial Electronics (ICCAIE 2010), December 5-7, 2010, Kuala Lumpur, Malaysia, 5-7 Dec., 2010, Kuala Lumpur. http://dx.doi.org/10.1109/ICCAIE.2010.5735144 doi:10.1109/ICCAIE.2010.5735144 |
| spellingShingle | TJ212 Control engineering M. Raafat, Safanah Akmeliawati, Rini Martono, Wahyudi Intelligent identification of uncertainty bounds for robust servo controlled system |
| title | Intelligent identification of uncertainty bounds for robust servo controlled system |
| title_full | Intelligent identification of uncertainty bounds for robust servo controlled system |
| title_fullStr | Intelligent identification of uncertainty bounds for robust servo controlled system |
| title_full_unstemmed | Intelligent identification of uncertainty bounds for robust servo controlled system |
| title_short | Intelligent identification of uncertainty bounds for robust servo controlled system |
| title_sort | intelligent identification of uncertainty bounds for robust servo controlled system |
| topic | TJ212 Control engineering |
| url | http://irep.iium.edu.my/5385/ http://irep.iium.edu.my/5385/ http://irep.iium.edu.my/5385/ http://irep.iium.edu.my/5385/1/iccaie2010_safanah.pdf |