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Active TMD systematic design of fuzzy control and the application in high-rise buildings

  • Chen, Z.Y. (Guangdong University of Petrochem Technology, School of Science) ;
  • Jiang, Rong (Guangdong University of Petrochem Technology, School of Science) ;
  • Wang, Ruei-Yuan (Guangdong University of Petrochem Technology, School of Science) ;
  • Chen, Timothy (Division of Engineering and Applied Science, California Institute of Technology)
  • Received : 2021.05.23
  • Accepted : 2021.10.12
  • Published : 2021.12.25
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Abstract

In this research, a neural network (NN) method was developed, which combines H-infinity and fuzzy control for the purpose of stabilization and stability analysis of nonlinear systems. The H-infinity criterion is derived from the Lyapunov fuzzy method, and it is defined as a fuzzy combination of quadratic Lyapunov functions. Based on the stability criterion, the nonlinear system is guaranteed to be stable, so it is transformed to be a linear matrix inequality (LMI) problem. Since the demo active vibration control system to the tuning of the algorithm sequence developed a controller in a manner, it could effectively improve the control performance, by reducing the wind's excitation configuration in response to increase in the cost efficiency, and the control actuator.

Keywords

Acknowledgement

The authors are grateful for the research grants given to Ruei-Yuan Wang from GDUPT talent introduction, Peoples R China under Grant No. 702-519208, and Academic Affairs in GDUPT for Goal Problem-Oriented Teaching Innovation and Practice Project Grant No. 701-234660, 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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