Stochastic extremum seeking with applications to mobile sensor networks

Miloš S. Stanković, Dušan M. Stipanović

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In this paper the extremum seeking algorithm with sinusoidal perturbation has been modified and extended in two ways: a) the amplitudes of the perturbation signals, as well as the gain of the integrator block, are time varying and tend to zero at a pre-specified rate; b) the output of the system is corrupted with measurement noise. Local convergence to the extremal point, with probability one and in the mean square sense, has been proved. Also, it has been shown how the proposed algorithm can be applied to mobile sensor networks as a tool for achieving the optimal observation positions. The proposed algorithms have been illustrated through several simulations.

Original languageEnglish (US)
Title of host publication2009 American Control Conference, ACC 2009
Number of pages6
StatePublished - Nov 23 2009
Event2009 American Control Conference, ACC 2009 - St. Louis, MO, United States
Duration: Jun 10 2009Jun 12 2009

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Other2009 American Control Conference, ACC 2009
Country/TerritoryUnited States
CitySt. Louis, MO

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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