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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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 |
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Science::Physics Fuzzy Energy Equation Artificial Intelligence |
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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 |