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
Krstic M, Wang HH (2000) Stability of extremum seeking feedback for general dynamic systems. Automatica 36:595–601
Liu S-J, Krstic M (2012) Stochastic averaging and stochastic extremum seeking. Springer, London/New York
Tan Y, Nesic D, Mareels I (2006) On non-local stability properties of extremum seeking control. Automatica 42:889–903
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© 2014 Springer-Verlag London
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Krstic, M. (2014). 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_114-1
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_114-1
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Publisher Name: Springer, London
Online ISBN: 978-1-4471-5102-9
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Latest
Extremum Seeking Control- Published:
- 29 November 2019
DOI: https://doi.org/10.1007/978-1-4471-5102-9_114-2
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Original
Extremum Seeking Control- Published:
- 18 March 2014
DOI: https://doi.org/10.1007/978-1-4471-5102-9_114-1