TY - GEN
T1 - Discrete time extremum seeking by autonomous vehicles in a stochastic environment
AU - Stanković, Miloş S.
AU - Stipanović, Duşan M.
PY - 2009
Y1 - 2009
N2 - In this paper, discrete time extremum seeking algorithms with sinusoidal perturbations have been developed for three different problems involving autonomous vehicle planar control: a) control of velocity actuated vehicles; b) control of force actuated vehicles; c) control of nonholonomic vehicles (unicycles). The algorithms assume time varying gains and are able to cope with stochastic perturbations. Convergence to the extremal point, with probability one, has been demonstrated for all three cases. It is also shown how the proposed algorithms can be applied to mobile sensors as a tool for achieving optimal observation positions. The proposed algorithms have been illustrated with several simulations.
AB - In this paper, discrete time extremum seeking algorithms with sinusoidal perturbations have been developed for three different problems involving autonomous vehicle planar control: a) control of velocity actuated vehicles; b) control of force actuated vehicles; c) control of nonholonomic vehicles (unicycles). The algorithms assume time varying gains and are able to cope with stochastic perturbations. Convergence to the extremal point, with probability one, has been demonstrated for all three cases. It is also shown how the proposed algorithms can be applied to mobile sensors as a tool for achieving optimal observation positions. The proposed algorithms have been illustrated with several simulations.
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U2 - 10.1109/CDC.2009.5400504
DO - 10.1109/CDC.2009.5400504
M3 - Conference contribution
AN - SCOPUS:77950834648
SN - 9781424438716
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 4541
EP - 4546
BT - Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Y2 - 15 December 2009 through 18 December 2009
ER -