Intelligent identification of uncertainty bounds for robust servo controlled system

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...

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Main Authors: M. Raafat, Safanah, Akmeliawati, Rini, Martono, Wahyudi
Format: Conference or Workshop Item
Language:English
Published: 2010
Subjects:
TJ212 Control engineering
Online Access: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
id iium-5385
recordtype eprints
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 Conference or Workshop Item 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
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TJ212 Control engineering
spellingShingle TJ212 Control engineering
M. Raafat, Safanah
Akmeliawati, Rini
Martono, Wahyudi
Intelligent identification of uncertainty bounds for robust servo controlled system
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
format Conference or Workshop Item
author M. Raafat, Safanah
Akmeliawati, Rini
Martono, Wahyudi
author_facet M. Raafat, Safanah
Akmeliawati, Rini
Martono, Wahyudi
author_sort M. Raafat, Safanah
title Intelligent identification of uncertainty bounds for robust servo controlled system
title_short 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_sort intelligent identification of uncertainty bounds for robust servo controlled system
publishDate 2010
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
first_indexed 2023-09-18T20:13:57Z
last_indexed 2023-09-18T20:13:57Z
_version_ 1777407662866038784

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