Smart Structures and Systems

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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)
  • Received : 2019.04.14
  • Accepted : 2019.09.02
  • Published : 2020.04.25
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Abstract

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.

Keywords

References

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