Structural system identification via synchronization technique and fuzzy logic

Behnam Zand, Pedram Ghaderi and Fereidoun Amini

Mathematics and Computers in Simulation (MATCOM), 2023, vol. 203, issue C, 174-188

Abstract: In this paper, a new approach is proposed for parameter identification in seismically excited structures based on synchronization method and fuzzy logic. The main contribution of this paper is providing a general solution for the estimation of the identifier coefficients using fuzzy logic. These identifier coefficients adjust the convergence rate and accuracy of the identification. The fuzzy controller uses triangular membership functions as input and output. The input parameters to the fuzzy controller are functions of displacement and velocity of the top story subjected to earthquake excitation. By using appropriate fuzzy rules the results are obtained for identifier coefficients. Additionally, a novel and simple formulation to identify structural unknown parameters based on synchronization is presented. The performance of the proposed approach is investigated using different shear frames under various excitations. The sensitivity of the proposed method to different noise levels and modeling uncertainties is analyzed. Numerical examples indicate that the presented method can identify the unknown parameters of the structure with high accuracy and reasonable computational time.

Keywords: System identification; Synchronization; Estimation of stiffness and damping; Fuzzy logic; adaptive control (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:203:y:2023:i:c:p:174-188

DOI: 10.1016/j.matcom.2022.06.009

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