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Synthesized AI LMI-based Criterion for Mechanical Systems |
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| Authors: | Jcy Chen Wc Chen Tim Chen Alex Wilson N Fadilah Jamaludin Nertrand Kapron Tim Chen John Burno |
| Institution: | 1 Faculty of Information Technology, Ho Chi Minh City University, Ho Chi Minh City, Vietnam2 Department of Data Science, RMIT University, Melbourne, VIC, Australia3 School of Physical and Mathematical Technology, Nanyang Technological University, 21 Nanyang Link, Singapore, Singapore4 Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia5 Heidelberg Academy of Sciences, Heidelberg, Baden-Württemberg, Germany |
| 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 |
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