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Identification of Parameters of Nonlinear Dynamic Systems; Smoothing, Filtration, Forecasting of State Vectors

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Dynamic Systems Models

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Abstract

The development of algorithms to solve the parameter identification problems with nonlinear dynamic systems is very important when one considers numerous fundamental and applied problems.

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References

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Authors and Affiliations

  1. State Scientific Research Institute of Automated Systems, Moscow, Russia

    Josif A. Boguslavskiy

Authors
  1. Josif A. Boguslavskiy
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Correspondence to Josif A. Boguslavskiy .

Editor information

Editors and Affiliations

  1. Dept of Biomedical Engineering, Georgia Tech, Atlanta, Georgia, USA

    Mark Borodovsky

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Boguslavskiy, J.A. (2016). Identification of Parameters of Nonlinear Dynamic Systems; Smoothing, Filtration, Forecasting of State Vectors. In: Borodovsky, M. (eds) Dynamic Systems Models. Springer, Cham. https://doi.org/10.1007/978-3-319-04036-3_5

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