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Design of delayed fractional state variable filter for parameter estimation of fractional nonlinear models

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Abstract

This paper presents a novel direct parameter estimation method for continuous-time fractional nonlinear models. This is achieved by adapting a filter-based approach that uses the delayed fractional state variable filter for estimating the nonlinear model parameters directly from the measured sampled input–output data. A class of fractional nonlinear ordinary differential equation models is considered, where the nonlinear terms are linear with respect to the parameters. The nonlinear model equations are reformulated such that it allows a linear estimator to be used for estimating the model parameters. The required fractional time derivatives of measured input–output data are computed by a proposed delayed fractional state variable filter. The filter comprises of a cascade of all-pass filters and a fractional Butterworth filter, which forms the core part of the proposed parameter estimation method. The presented approaches for designing the fractional Butterworth filter are the so-called, square root base and compartmental fractional Butterworth design. According to the results, the parameters of the fractional-order nonlinear ordinary differential model converge to the true values and the estimator performs efficiently for the output error noise structure.

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Authors and Affiliations

  1. WMG, University of Warwick, Coventry, CV4 7AL, UK

    Walid Allafi & James Marco

  2. School of Mechanical, Aerospace and Automotive Engineering, Faculty of Engineering, Environment and Computing, Coventry University, 10 Coventry Innovation Village, Coventry, CV1 2TL, UK

    Ivan Zajic

  3. OVO Energy, 140-142 Kensington Church Street, London, W8 4BN, UK

    Kotub Uddin

  4. Business School, Guangdong University of Foreign Studies, Guangzhou, China

    Zhonghua Shen

  5. Faculty of Science and Engineering, University of Wolverhampton, Wulfruna Street, Wolverhampton, WV1 1LY, UK

    Keith Burnham

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  1. Walid Allafi
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Correspondence to Zhonghua Shen.

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Allafi, W., Zajic, I., Uddin, K. et al. Design of delayed fractional state variable filter for parameter estimation of fractional nonlinear models. Nonlinear Dyn 94, 2697–2713 (2018). https://doi.org/10.1007/s11071-018-4519-0

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