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Smart Structures and Systems
  Volume 30, Number 5, November 2022 , pages 537-544
DOI: https://doi.org/10.12989/sss.2022.30.5.537
 


Intelligent algorithm and optimum design of fuzzy theory for structural control
Z.Y. Chen, Ruei-Yuan Wang, Yahui Meng and Timothy Chen

 
Abstract
    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.
 
Key Words
    composite structures; energy equations; intelligent control function; structural control; tuned mass damper
 
Address
(1) Z.Y. Chen, Ruei-Yuan Wang, Yahui Meng:
School of Science, Guangdong University of Petrochemical Technology, Maoming, Guangdong 525000, China;
(2) Timothy Chen:
California Institute of Technology, Pasadena, CA 91125, USA.
 

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