Synthesized AI LMI-based Criterion for Mechanical Systems

Jcy Chen; Wc Chen; Tim Chen; Alex Wilson; N. Jamaludin; Nertrand Kapron; Tim Chen; John Burno

doi:10.32604/sv.2019.04233

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Abstract

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ARTICLE

Synthesized AI LMI-based Criterion for Mechanical Systems

Jcy Chen^1,*, Wc Chen¹, Tim Chen¹, Alex Wilson², N. Fadilah Jamaludin³, Nertrand Kapron¹, Tim Chen^4,5, John Burno⁵
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

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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.

Keywords

Fuzzy energy equation; artificial intelligence; large-scale systems; fuzzy model

Cite This Article

Chen, J., Chen, W., Chen, T., Wilson, A., Jamaludin, N. F. et al. (2019). Synthesized AI LMI-based Criterion for Mechanical Systems. Sound & Vibration, 53(6), 245–250.

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