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Recursive identification of discrete-time nonlinear cascade systems with time-varying output hysteresis

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Abstract

A recursive identification method for discrete-time nonlinear cascade systems with a linear dynamic system followed by a time-varying output hysteresis is presented. The mathematical model is based on the application of a special form of Coleman–Hodgdon hysteresis model and a compound operator decomposition technique and is linear-in-parameters. The recursive least-squares algorithm with internal variable estimation is used for the time-varying parameter identification. Simulation studies show the feasibility of proposed approach to estimate the model parameters and track their changes.

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Acknowledgments

The author gratefully acknowledges financial support from the Slovak Scientific Grant Agency (VEGA).

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Authors and Affiliations

  1. Faculty of Electrical Engineering and Information Technology, Slovak Technical University, Ilkovicova 3, 812 19, Bratislava, Slovakia

    Jozef Vörös

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  1. Jozef Vörös
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Correspondence to Jozef Vörös.

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Vörös, J. Recursive identification of discrete-time nonlinear cascade systems with time-varying output hysteresis. Nonlinear Dyn 87, 1427–1434 (2017). https://doi.org/10.1007/s11071-016-3124-3

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