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RC structural system control subjected to earthquakes and TMD

  • Jenchung Shao (College of Electrical Engineering and Computer Science, National Kaohsiung University of Science and Technology) ;
  • M. Nasir Noor (College of Maritime, National Kaohsiung University of Science and Technology) ;
  • P. Ken (Information and Research Center of China) ;
  • Chuho Chang (College of Electrical Engineering and Computer Science, National Kaohsiung University of Science and Technology) ;
  • R. Wang (Information and Research Center of China)
  • Received : 2023.12.12
  • Accepted : 2024.01.12
  • Published : 2024.01.25

Abstract

This paper proposes a composite design of fuzzy adaptive control scheme based on TMD RC structural system and the gain of two-dimensional fuzzy control is controlled by parameters. Monitoring and learning in LMI then produces performance indicators with a weighting matrix as a function of cost. It allows to control the trade-off between the two efficiencies by adjusting the appropriate weighting matrix. The two-dimensional Boost control model is equivalent to the LMI-constrained multi-objective optimization problem under dual performance criteria. By using the proposed intelligent control model, the fuzzy nonlinear criterion is satisfied. Therefore, the data connection can be further extended. Evaluation of controller performance the proposed controller is compared with other control techniques. This ensures good performance of the control routines used for position and trajectory control in the presence of model uncertainties and external influences. Quantitative verification of the effectiveness of monitoring and control. The purpose of this article is to ensure access to adequate, safe and affordable housing and basic services. Therefore, it is assumed that this goal will be achieved in the near future through the continuous development of artificial intelligence and control theory.

Keywords

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