Synthesized AI LMI-based criterion for mechanical systems

This paper proposes a novel artificial intelligence sythethized controller in the mechanical system which has high speed computation because of the LMI type criterion. The proposed membership functions are adopted and stabilization criterion of the closed-loop T-S fuzzy systems are obtained through...

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Main Authors:	Chen, Jcy, Chen, Wc, Chen, Tim, Wilson, Alex, Nur Fadilah Jamaludin‬, Kapron, Nertrand, Burno, John
Other Authors:	School of Physical and Mathematical Sciences
Format:	Article
Language:	English
Published:	2021
Subjects:	Science::Physics Fuzzy Energy Equation Artificial Intelligence
Online Access:	https://hdl.handle.net/10356/148347
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-148347
record_format	dspace
spelling	sg-ntu-dr.10356-1483472023-02-28T19:55:46Z Synthesized AI LMI-based criterion for mechanical systems Chen, Jcy Chen, Wc Chen, Tim Wilson, Alex Nur Fadilah Jamaludin‬ Kapron, Nertrand Chen, Tim Burno, John School of Physical and Mathematical Sciences Science::Physics Fuzzy Energy Equation Artificial Intelligence This paper proposes a novel artificial intelligence sythethized controller in the mechanical system which has high speed computation because of the LMI type criterion. The proposed membership functions are adopted and stabilization criterion of the closed-loop T-S fuzzy systems are obtained through a new parametrized LMI (linear matrix) inequality which is rearranged by machine learning membership functions. Published version 2021-05-04T04:03:52Z 2021-05-04T04:03:52Z 2019 Journal Article Chen, J., Chen, W., Chen, T., Wilson, A., Nur Fadilah Jamaludin‬, Kapron, N., Chen, T. & Burno, J. (2019). Synthesized AI LMI-based criterion for mechanical systems. Sound and Vibration, 53(6), 245-250. https://dx.doi.org/10.32604/sv.2019.04233 1541-0161 https://hdl.handle.net/10356/148347 10.32604/sv.2019.04233 2-s2.0-85093970611 6 53 245 250 en Sound and Vibration © 2019 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Science::Physics Fuzzy Energy Equation Artificial Intelligence
spellingShingle	Science::Physics Fuzzy Energy Equation Artificial Intelligence Chen, Jcy Chen, Wc Chen, Tim Wilson, Alex Nur Fadilah Jamaludin‬ Kapron, Nertrand Chen, Tim Burno, John Synthesized AI LMI-based criterion for mechanical systems
description	This paper proposes a novel artificial intelligence sythethized controller in the mechanical system which has high speed computation because of the LMI type criterion. The proposed membership functions are adopted and stabilization criterion of the closed-loop T-S fuzzy systems are obtained through a new parametrized LMI (linear matrix) inequality which is rearranged by machine learning membership functions.
author2	School of Physical and Mathematical Sciences
author_facet	School of Physical and Mathematical Sciences Chen, Jcy Chen, Wc Chen, Tim Wilson, Alex Nur Fadilah Jamaludin‬ Kapron, Nertrand Chen, Tim Burno, John
format	Article
author	Chen, Jcy Chen, Wc Chen, Tim Wilson, Alex Nur Fadilah Jamaludin‬ Kapron, Nertrand Chen, Tim Burno, John
author_sort	Chen, Jcy
title	Synthesized AI LMI-based criterion for mechanical systems
title_short	Synthesized AI LMI-based criterion for mechanical systems
title_full	Synthesized AI LMI-based criterion for mechanical systems
title_fullStr	Synthesized AI LMI-based criterion for mechanical systems
title_full_unstemmed	Synthesized AI LMI-based criterion for mechanical systems
title_sort	synthesized ai lmi-based criterion for mechanical systems
publishDate	2021
url	https://hdl.handle.net/10356/148347
_version_	1759853048625102848

Synthesized AI LMI-based criterion for mechanical systems

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