Open Access
ARTICLE
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: , .
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.
Keywords
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. https://doi.org/10.32604/sv.2019.04233