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Synthesized AI LMI-based Criterion for Mechanical Systems

Jcy Chen1,*, Wc Chen1, Tim Chen1, Alex Wilson2, N. Fadilah Jamaludin3, Nertrand Kapron1, Tim Chen4,5, 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: email, 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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APA Style
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. https://doi.org/10.32604/sv.2019.04233
Vancouver Style
Chen J, Chen W, Chen T, Wilson A, Jamaludin NF, Kapron N, et al. Synthesized AI lmi-based criterion for mechanical systems. Sound Vib . 2019;53(6):245-250 https://doi.org/10.32604/sv.2019.04233
IEEE Style
J. Chen et al., "Synthesized AI LMI-based Criterion for Mechanical Systems," Sound Vib. , vol. 53, no. 6, pp. 245-250. 2019. https://doi.org/10.32604/sv.2019.04233



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