Open Access

ARTICLE

Synthesized AI LMI-based Criterion for Mechanical Systems

by Jcy Chen, Wc Chen, Tim Chen, Alex Wilson, N. Fadilah Jamaludin, Nertrand Kapron, Tim Chen, John Burno

1 Faculty of Information Technology, Ho Chi Minh City University, Ho Chi Minh City, Vietnam
2 Department of Data Science, RMIT University, Melbourne, VIC, Australia
3 School of Physical and Mathematical Technology, Nanyang Technological University, 21 Nanyang Link, Singapore, Singapore
4 Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia
5 Heidelberg Academy of Sciences, Heidelberg, Baden-Württemberg, Germany

* Corresponding Author: Jcy Chen. Email: , .

Sound & Vibration 2019, 53(6), 245-250. https://doi.org/10.32604/sv.2019.04233

Abstract

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.

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Keywords

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