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Encyclopedia of Systems and Control pp 1–5Cite as

Extremum Seeking Control

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Abstract

Extremum seeking (ES) is a method for real-time non-model-based optimization. Though ES was invented in 1922, the “turn of the twenty-first century” has been its golden age, both in terms of the development of theory and in terms of its adoption in industry and in fields outside of control engineering. This entry overviews basic gradient- and Newton-based versions of extremum seeking with periodic and stochastic perturbation signals.

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Bibliography

  • Baronov D, Baillieul J (2011) A motion description language for robotic reconnaissance of unknown fields. Eur J Control 17:512–525

    Article  MathSciNet  Google Scholar 

  • Cochran J, Krstic M (2009) Nonholonomic source seeking with tuning of angular velocity. IEEE Trans Autom Control 54:717–731

    Article  MathSciNet  Google Scholar 

  • Ghaffari A, Krstic M, Seshagiri S (2014a) Power optimization for photovoltaic micro-converters using multivariable Newton-based extremum seeking. IEEE Trans Control Syst Technol 22:2141–2149

    Article  Google Scholar 

  • Ghaffari A, Krstic M, Seshagiri S (2014b) Power optimization and control in wind energy conversion systems using extremum seeking. IEEE Trans Control Syst Technol 22:1684–1695

    Article  Google Scholar 

  • Krstic M, Wang HH (2000) Stability of extremum seeking feedback for general dynamic systems. Automatica 36:595–601

    Article  MathSciNet  Google Scholar 

  • Liu S-J, Krstic M (2010a) Stochastic averaging in continuous time and its applications to extremum seeking. IEEE Trans Autom Control 55:2235–2250

    Article  MathSciNet  Google Scholar 

  • Liu S-J, Krstic M (2010b) Stochastic source seeking for nonholonomic unicycle. Automatica 46:1443–1453

    Article  MathSciNet  Google Scholar 

  • Liu S-J, Krstic M (2012) Stochastic averaging and stochastic extremum seeking. Springer, London/New York

    Book  Google Scholar 

  • Tan Y, Nesic D, Mareels I (2006) On non-local stability properties of extremum seeking control. Automatica 42:889–903

    Article  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Mechanical and Aerospace Engineering, University of California, San Diego, La Jolla, CA, USA

    Miroslav Krstic

Authors
  1. Miroslav Krstic
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Correspondence to Miroslav Krstic .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, Boston University, Boston, MA, USA

    John Baillieul

  2. Automation and Control Solutions, Honeywell, Golden Valley, MN, USA

    Tariq Samad

Section Editor information

  1. School of Electrical Engineering and Computer Science, The University of Newcastle, Callaghan, NSW, Australia

    Richard Hume Middleton

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Krstic, M. (2020). Extremum Seeking Control. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_114-2

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  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_114-2

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5102-9

  • Online ISBN: 978-1-4471-5102-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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Chapter history

  1. Latest

    Extremum Seeking Control
    Published:
    29 November 2019

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_114-2

  2. Original

    Extremum Seeking Control
    Published:
    18 March 2014

    DOI: https://doi.org/10.1007/978-1-4471-5102-9_114-1

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