Abstract
In this paper, we propose a novel estimation algorithm for a dual-rate system with preload nonlinearity. The input-output data are measured two different sampling rates. A switching function and a polynomial transformation technique are employed to derive a mathematical model for such a dual-rate and nonlinear system. Furthermore, two modified stochastic gradient algorithms are given to improve the convergence rate. Finally a simulation example is provided to verify the effectiveness of the proposed method.
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Jing, C., Lixing, L., Ruifeng, D. (2012). Parameter Estimation for Dual-Rate Sampled Data Systems with Preload Nonlinearities. In: Zhang, T. (eds) Mechanical Engineering and Technology. Advances in Intelligent and Soft Computing, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27329-2_7
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DOI: https://doi.org/10.1007/978-3-642-27329-2_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27328-5
Online ISBN: 978-3-642-27329-2
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