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Iterative Hybrid Identification of Spatial Bilinear Models in the Presence of Uncertainty

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Progress in Systems Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 366))

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Abstract

This paper introduces the concept of a novel spatial model identification procedure which makes use of a hybrid combination of two algorithms implemented in an iterative manner. The approach is shown to provide effective results in the presence of uncertainty and absence of an ideal quantity of data. The potential practicability of the approach is highlighted in the context of the development of active control of collision energy absorption.

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References

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Author information

Authors and Affiliations

  1. Control Theory and Applications Centre, Coventry University, Coventry, CV1 5FB, UK

    James E. Trollope & Keith J. Burnham

Authors
  1. James E. Trollope
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  2. Keith J. Burnham
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Corresponding author

Correspondence to Keith J. Burnham .

Editor information

Editors and Affiliations

  1. University of Nevada at Las Vegas, Las Vegas, Nevada, USA

    Henry Selvaraj

  2. Department of Electrical Engineering, Idaho State University, Pocatello, Idaho, USA

    Dawid Zydek

  3. University of Nevada at Las Vegas, Las Vegas, Nevada, USA

    Grzegorz Chmaj

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© 2015 Springer International Publishing Switzerland

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Trollope, J.E., Burnham, K.J. (2015). Iterative Hybrid Identification of Spatial Bilinear Models in the Presence of Uncertainty. In: Selvaraj, H., Zydek, D., Chmaj, G. (eds) Progress in Systems Engineering. Advances in Intelligent Systems and Computing, vol 366. Springer, Cham. https://doi.org/10.1007/978-3-319-08422-0_111

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  • DOI: https://doi.org/10.1007/978-3-319-08422-0_111

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08421-3

  • Online ISBN: 978-3-319-08422-0

  • eBook Packages: EngineeringEngineering (R0)

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