Synthesized AI LMI-based criterion for mechanical systems

Autor:	Jcy Chen, Wc Chen, Tim Chen, Alex Wilson, N. Fadilah Jamaludin, Nertrand Kapron, John Burno
Přispěvatelé:	School of Physical and Mathematical Sciences
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	Mechanical system Acoustics and Ultrasonics Computer science Control theory Physics [Science] Artificial Intelligence Mechanical Engineering Safety Risk Reliability and Quality Fuzzy Energy Equation
Popis:	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. Published version
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d47692749fa35c6a758cb4f18c58c8f8 https://hdl.handle.net/10356/148347 Zobrazit plný text záznamu