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A method identifying the parameters of Bounc-Wen hysteretic nonlinear model based on genetic algorithm

The Bounc-Wen model (Wen, 1976) is a typical hysteretic nonlinear model, and its parameter identification is very important. Existing identification methods depend heavily on the given initial values of the parameters. Based on the advantages of genetic algorithms (GA), this paper builds the fitness function corresponding to the problem and adopts the crossover and mutation between the gene code strings of the same variables, improving the convergence rate of GA. The example proves that this method is feasible.