TR2020-117

Finite-time extremum seeking control for a class of unknown static maps


    •  Guay, M., Benosman, M., "Finite-time extremum seeking control for a class of unknown static maps", International journal of adaptive control and signal processing, July 2020.
      BibTeX TR2020-117 PDF
      • @article{Guay2020jul,
      • author = {Guay, Martin and Benosman, Mouhacine},
      • title = {Finite-time extremum seeking control for a class of unknown static maps},
      • journal = {International journal of adaptive control and signal processing},
      • year = 2020,
      • month = jul,
      • url = {https://www.merl.com/publications/TR2020-117}
      • }
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  • Research Area:

    Control

This paper proposes an extremum-seeking control design that achieves finite-time stability of the optimum of an unknown measured cost function. The finite-time extremum-seeking control technique is shown to achieve finite-time practical stability of the optimum of the cost function. The main characteristic of the proposed extremum seeking control approach is that the corresponding target averaged system achieves finite-time stability. A simulation study is presented to demonstrate the effectiveness of the approach.