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http://dx.doi.org/10.12989/cac.2022.30.5.357

A fuzzy grey predictor for civil frame building via Lyapunov criterion  

Chen, Z.Y. (School of Science, Guangdong University of Petrochemical Technology)
Meng, Yahui (School of Science, Guangdong University of Petrochemical Technology)
Wang, Ruei-Yuan (School of Science, Guangdong University of Petrochemical Technology)
Chen, Timothy (California Institute of Technology)
Publication Information
Computers and Concrete / v.30, no.5, 2022 , pp. 357-367 More about this Journal
Abstract
In this paper, we propose an efficient control method that can be transformed into a general building control problem for building structure control using these reliability criteria. To facilitate the calculation of controller H∞, an efficient solution method based on Linear Matrix Inequality (LMI) is introduced, namely H∞-based LMI control. In addition, a self-tuning predictive grey fuzzy controller is proposed to solve the problem caused by wrong parameter selection to eliminates the effect of dynamic coupling between degrees of freedom (DOF) in Self-Tuning Fuzzy Controllers. We prove stability using Lyapunov's stability theorem. To check the applicability of the proposed method, the proposed controller is applied and the control characteristics are determined. The simulation assumes system uncertainty in the controller design and emphasizes the use of acceleration feedback as a practical consideration. Simulation results show that the performance of the proposed controller is impressive, stable, and consistent with the performance of LMI-based methods. Therefore, an effective control method is suitable for seismic reinforcement of civil buildings.
Keywords
civil engineering framework construction; predictive robotic system; self-tuning fuzzy controller;
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