Parameter estimation for hysteretic systems |
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| Institution: | 1. Department Electronics and Communications Engineering, Yıldız Technical University, Istanbul, Turkey;2. Department of Control and Automation Engineering, Yıldız Technical University, Istanbul, Turkey;1. School of Electro-Mechanical Engineering, Guangdong University of Technology, Guangzhou 510006, PR China;2. Big Data Department, Weichai Power Co.,Ltd.,Weifang, 261061, PR China;3. Department of Architecture and Civil Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong SAR, PR China;4. School of Mathematics, Jilin University, Changchun 130012, P.R. China |
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| Abstract: | The differential system characterization of hysteretic system is well known. The problem of estimating the parameters of this system on the basis of input-output data, possibly noise corrupted, is considered. It turns out that the estimation problem is a non-linear optimization problem. The Gauss Newton method is used in setting up a two-stage iterative least squares algorithm. The usefulness of the algorithm is validated through its application to various simulated time histories from the hysteretic model. |
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