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Stochastic intelligent GA controller design for active TMD shear building

  • Chen, Z.Y. (School of Science, Guangdong University of Petrochem Technology) ;
  • Peng, Sheng-Hsiang (Department of Civil and Environmental Engineering, University of California) ;
  • Wang, Ruei-Yuan (School of Science, Guangdong University of Petrochem Technology) ;
  • Meng, Yahui (School of Science, Guangdong University of Petrochem Technology) ;
  • Fu, Qiuli (School of Computer Science, Guangdong University of Petrochem Technology) ;
  • Chen, Timothy (Division of Engineering and Applied Science, California Institute of Technology)
  • Received : 2020.08.31
  • Accepted : 2021.10.27
  • Published : 2022.01.10

Abstract

The problem of optimal stochastic GA control of the system with uncertain parameters and unsure noise covariates is studied. First, without knowing the explicit form of the dynamic system, the open-loop determinism problem with path optimization is solved. Next, Gaussian linear quadratic controllers (LQG) are designed for linear systems that depend on the nominal path. A robust genetic neural network (NN) fuzzy controller is synthesized, which consists of a Kalman filter and an optimal controller to assure the asymptotic stability of the discrete control system. A simulation is performed to prove the suitability and performance of the recommended algorithm. The results indicated that the recommended method is a feasible method to improve the performance of active tuned mass damper (ATMD) shear buildings under random earthquake disturbances.

Keywords

Acknowledgement

The authors are grateful for the research grants given to Yahui Meng from the Provincial key platforms and major scientific research projects of universities in Guangdong Province, Peoples R China under Grant No. 2017GXJK116, and the research grants given to ZY Chen from the Projects of Talents Recruitment of GDUPT (NO. 2021rc002) in Guangdong Province, Peoples R China No. 2021rc002 as well as to the anonymous reviewers for constructive suggestions.

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