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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Podrobná bibliografie
Hlavní autoři:	Chen, Jcy, Chen, Wc, Chen, Tim, Wilson, Alex, Nur Fadilah Jamaludin‬, Kapron, Nertrand, Burno, John
Další autoři:	School of Physical and Mathematical Sciences
Médium:	Journal Article
Jazyk:	English
Vydáno:	2021
Témata:	Science::Physics Fuzzy Energy Equation Artificial Intelligence
On-line přístup:	https://hdl.handle.net/10356/148347

Popis
Shrnutí:	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.

Synthesized AI LMI-based criterion for mechanical systems

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