Computers and Concrete

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Apply a robust fuzzy LMI control scheme with AI algorithm to civil frame building dynamic analysis

  • Chen, Z.Y. (School of Science, Guangdong University of Petrochem Technol) ;
  • Jiang, Rong (School of Science, Guangdong University of Petrochem Technol) ;
  • Wang, Ruei-Yuan (School of Science, Guangdong University of Petrochem Technol) ;
  • Chen, Timothy (Division of Engineering and Applied Science, California Institute of Technology)
  • Received : 2021.05.22
  • Accepted : 2021.09.28
  • Published : 2021.10.25
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Abstract

In recent years, more and more experimental studies have shown that the development of mature active control design in practice requires consideration of robustness criteria in the design process, including robustness and stability in practice considering the uncertainty in the system. This article proposes a robust test method for the control of civil structures. In order to facilitate the calculation of the H∞ performance, a linear matrix inequality (LMI) based on this effective solution is also introduced, which combines H∞ control and LMI fuzzy neural network approach. In order to check the suitability of the proposed method, the earthquake excitation during the active support of digital building models conducted extensive simulations. The model includes a one all steel frame vibration table test. In the simulation, the controller design is based on the uncertainty of the system, and the use of throttle feedback is emphasized for practical reasons. The simulation results show that the performance of the controller proposition is significant, powerful, and the effectiveness. Therefore, this robust control method is suitable for seismic protection of civil structure buildings.

Keywords

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