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Extremum seeking control and its application to process and reaction systems: A survey

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  • Dochain, Denis
  • Perrier, Michel
  • Guay, Martin

Abstract

The objective of this paper is to present a survey on extremum seeking control methods and their applications to process and reaction systems. Two important classes of extremum seeking control approaches are considered: perturbation-based and model-based methods.

Suggested Citation

  • Dochain, Denis & Perrier, Michel & Guay, Martin, 2011. "Extremum seeking control and its application to process and reaction systems: A survey," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(3), pages 369-380.
    • Handle: RePEc:eee:matcom:v:82:y:2011:i:3:p:369-380
    DOI: 10.1016/j.matcom.2010.10.022
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    Cited by:

    1. Bizon, Nicu, 2014. "Tracking the maximum efficiency point for the FC system based on extremum seeking scheme to control the air flow," Applied Energy, Elsevier, vol. 129(C), pages 147-157.
    2. Nubia Ilia Ponce de León Puig & Leonardo Acho & José Rodellar, 2018. "Design and Experimental Implementation of a Hysteresis Algorithm to Optimize the Maximum Power Point Extracted from a Photovoltaic System," Energies, MDPI, vol. 11(7), pages 1-24, July.
    3. Bizon, Nicu, 2013. "Energy harvesting from the FC stack that operates using the MPP tracking based on modified extremum seeking control," Applied Energy, Elsevier, vol. 104(C), pages 326-336.
    4. Bizon, Nicu, 2016. "Global Maximum Power Point Tracking (GMPPT) of Photovoltaic array using the Extremum Seeking Control (ESC): A review and a new GMPPT ESC scheme," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 524-539.

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