Smart Structures and Systems

  • 제30권5호
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  • Pages.537-544
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  • 2022
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Intelligent algorithm and optimum design of fuzzy theory for structural control

  • Chen, Z.Y. (School of Science, Guangdong University of Petrochemical Technology) ;
  • Wang, Ruei-Yuan (School of Science, Guangdong University of Petrochemical Technology) ;
  • Meng, Yahui (School of Science, Guangdong University of Petrochemical Technology) ;
  • Chen, Timothy (California Institute of Technology)
  • 투고 : 2022.03.13
  • 심사 : 2022.05.30
  • 발행 : 2022.11.25
⟨ 이전 논문 다음 논문 ⟩

초록

The optimal design of structural composite materials is a research topic that attracts the attention of lots researchers. For many more thirty years, there has been increasing interest in the applications in all kinds of topics, which means taking advantage of fuzzy set theory, fuzzy analysis, and fuzzy control for designing high-performance and efficient structural systems is a fundamental concern for engineers, and many applications require the use of a systems approach to combine structural and active control systems. Therefore, an intelligent method can be designed based on the mitigation method, and by establishing the stable of the closed-loop fuzzy mitigation system, the behavior of the closed-loop fuzzy mitigation system can be accurately predicted. In this article, the intelligent algorithm and optimum design of fuzzy theory for structural control has been provided and demonstrated effective and efficient in practical engineering issues.

키워드

과제정보

The authors are grateful for the research grants given to Ruei Yuan Wang from the Projects of Talents Recruitment of GDUPT, Peoples R China under Grant NO. 2019rc098, and the research grants given to ZY Chen from the Projects of Talents Recruitment of GDUPT (NO. 2021rc002) in Guangdong Province, Peoples R China. as well as to the anonymous reviewers for constructive suggestions.

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