Vol.53, No.6, 2019, pp.245-250, doi:10.32604/sv.2019.04233
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: , .
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.
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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