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Adaptive Control, Filtering, and Signal Processing pp 351–358Cite as

Averaging Methods for the Analysis of Adaptive Algorithms

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Part of the book series: The IMA Volumes in Mathematics and its Applications ((IMA,volume 74))

Abstract

We give a brief review of some ideas in averaging methods for analysing adaptive algorithms. The 3 types of first order averaging result are described and a mention is given as to how averaging can be used to get second order results in particular perturbation expansions for invariant measures.

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Author information

Authors and Affiliations

  1. Department of Statistics, Macquarie University, Sydney, NSW, 2109, Australia

    Victor Solo

Authors
  1. Victor Solo
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Editor information

Editors and Affiliations

  1. Department of Automatic Control, Lund Institute of Technology, Lund, Sweden

    K. J. Åström

  2. Department of Electrical Engineering and Computer Science, The University of Newcastle, Rankin Drive, Newcastle, NSW, 2308, Australia

    G. C. Goodwin

  3. Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 1308 West Main Street, Urbana, IL, 61801-2307, USA

    P. R. Kumar

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© 1995 Springer Science+Business Media New York

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Solo, V. (1995). Averaging Methods for the Analysis of Adaptive Algorithms. In: Åström, K.J., Goodwin, G.C., Kumar, P.R. (eds) Adaptive Control, Filtering, and Signal Processing. The IMA Volumes in Mathematics and its Applications, vol 74. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-8568-2_16

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  • DOI: https://doi.org/10.1007/978-1-4419-8568-2_16

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-6439-2

  • Online ISBN: 978-1-4419-8568-2

  • eBook Packages: Springer Book Archive

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