Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/148347
Title: Synthesized AI LMI-based criterion for mechanical systems
Authors: Chen, Jcy
Chen, Wc
Chen, Tim
Wilson, Alex
Nur Fadilah Jamaludin‬
Kapron, Nertrand
Chen, Tim
Burno, John
Keywords: Science::Physics
Issue Date: 2019
Source: Chen, J., Chen, W., Chen, T., Wilson, A., Nur Fadilah Jamaludin‬, Kapron, N., Chen, T. & Burno, J. (2019). Synthesized AI LMI-based criterion for mechanical systems. Sound and Vibration, 53(6), 245-250. https://dx.doi.org/10.32604/sv.2019.04233
Journal: Sound and Vibration
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.
URI: https://hdl.handle.net/10356/148347
ISSN: 1541-0161
DOI: 10.32604/sv.2019.04233
Rights: © 2019 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Journal Articles

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