Smart Structures and Systems

  • 제25권4호
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  • Pages.401-408
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  • 2020
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

PDC Intelligent control-based theory for structure system dynamics

  • Chen, Tim (AI LAB, Faculty of Information Technology, Ton Duc Thang University) ;
  • Lohnash, Megan (Data Analysis Research Centre, San Jose State University) ;
  • Owens, Emmanuel (Innovative Information Centre, Liverpool John Moores University) ;
  • Chen, C.Y.J. (Faculty of Engineering, King Abdulaziz University)
  • 투고 : 2019.04.14
  • 심사 : 2019.09.02
  • 발행 : 2020.04.25
⟨ 이전 논문 다음 논문 ⟩

초록

This paper deals with the problem of global stabilization for a class of nonlinear control systems. An effective approach is proposed for controlling the system interaction of structures through a combination of parallel distributed compensation (PDC) intelligent controllers and fuzzy observers. An efficient approximate inference algorithm using expectation propagation and a Bayesian additive model is developed which allows us to predict the total number of control systems, thereby contributing to a more adaptive trajectory for the closed-loop system and that of its corresponding model. The closed-loop fuzzy system can be made as close as desired, so that the behavior of the closed-loop system can be rigorously predicted by establishing that of the closed-loop fuzzy system.

키워드

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