Anti-Noise Simulation of the Hysteresis Mathematic Model Using Computationally-Efficient GA


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Hysteresis is a particular feature of a wide range of physical systems and devices such as electromagnetic fields, mechanical stress–strain elements and electronic relay circuits. The extended Bouc-Wen model is one of the most widely used hysteresis models in mechanics. It has the capability to emulate the behavior of a wide class of hysteretic systems. However multi parameters have plagued its further application because the capability of computer and algorithm available currently can not meet the need completely. Thus to exploit an effective parallel algorithm is very essential. This paper is committed to propose a novel Genetic Algorithm (GA) so as to identify the parameters of the Bouc-Wen model with noise disturbance efficiently and accurately. Finally a large amount of noise-involved experimental data obtained from a real MR damper is employed to verify the proposed approach has the capability to estimate the satisfactory parameters of the Bouc-Wen model. Also suggested are the implications of the present study on other nonlinear hysteretic models or other complex mathematical models.



Edited by:

Chunliang Zhang and Paul P. Lin




X. M. Xue et al., "Anti-Noise Simulation of the Hysteresis Mathematic Model Using Computationally-Efficient GA", Applied Mechanics and Materials, Vols. 226-228, pp. 725-728, 2012

Online since:

November 2012




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