TY - GEN
T1 - Stochastic extremum seeking with applications to mobile sensor networks
AU - Stanković, Miloš S.
AU - Stipanović, Dušan M.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=70449686686&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449686686&partnerID=8YFLogxK
U2 - 10.1109/ACC.2009.5160570
DO - 10.1109/ACC.2009.5160570
M3 - Conference contribution
AN - SCOPUS:70449686686
SN - 9781424445240
T3 - Proceedings of the American Control Conference
SP - 5622
EP - 5627
BT - 2009 American Control Conference, ACC 2009
T2 - 2009 American Control Conference, ACC 2009
Y2 - 10 June 2009 through 12 June 2009
ER -