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Adaptive Autonomous Soaring of Multiple UAVs Using Simultaneous Perturbation Stochastic Approximation. / Antal, C.; Granichin, O.; Levi, S.

49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC). IEEE Canada, 2010. p. 3656-3661 (Proceedings of the IEEE Conference on Decision and Control).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Antal, C, Granichin, O & Levi, S 2010, Adaptive Autonomous Soaring of Multiple UAVs Using Simultaneous Perturbation Stochastic Approximation. in 49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC). Proceedings of the IEEE Conference on Decision and Control, IEEE Canada, pp. 3656-3661, 49th IEEE Conference on Decision and Control (CDC), Atlanta, Gabon, 15/12/10. https://doi.org/10.1109/CDC.2010.5717903, https://doi.org/10.1109/CDC.2010.5717903

APA

Antal, C., Granichin, O., & Levi, S. (2010). Adaptive Autonomous Soaring of Multiple UAVs Using Simultaneous Perturbation Stochastic Approximation. In 49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) (pp. 3656-3661). (Proceedings of the IEEE Conference on Decision and Control). IEEE Canada. https://doi.org/10.1109/CDC.2010.5717903, https://doi.org/10.1109/CDC.2010.5717903

Vancouver

Antal C, Granichin O, Levi S. Adaptive Autonomous Soaring of Multiple UAVs Using Simultaneous Perturbation Stochastic Approximation. In 49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC). IEEE Canada. 2010. p. 3656-3661. (Proceedings of the IEEE Conference on Decision and Control). https://doi.org/10.1109/CDC.2010.5717903, https://doi.org/10.1109/CDC.2010.5717903

Author

Antal, C. ; Granichin, O. ; Levi, S. / Adaptive Autonomous Soaring of Multiple UAVs Using Simultaneous Perturbation Stochastic Approximation. 49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC). IEEE Canada, 2010. pp. 3656-3661 (Proceedings of the IEEE Conference on Decision and Control).

BibTeX

@inproceedings{30779bc746164fb9b8838d56a7094077,
title = "Adaptive Autonomous Soaring of Multiple UAVs Using Simultaneous Perturbation Stochastic Approximation",
abstract = "This paper presents a new algorithm for maximizing the flight duration of a single UAV (Uninhabited Air Vehicle) and UAVs group using the thermal model developed by Allen at NASA Dryden.As a first step, we suggest a new algorithm based on Simultaneous Perturbation Stochastic Approximation for quick and precise detection of the center of a thermal updraft where the vertical velocity of the air stream is the highest. The method takes into account the unstable behavior of the updraft dynamics and the drift of its center in time.Then, a multi-agent system for joint flight of multiple UAVs is presented. A protocol for UAV communication providing effective information exchange on updrafts locations is proposed. A sufficient condition for the protocol to be effective is deduced theoretically. We show that the energy consumption of each UAV can be significantly reduced using the multi-agent approach.",
keywords = "ALGORITHM",
author = "C. Antal and O. Granichin and S. Levi",
year = "2010",
doi = "10.1109/CDC.2010.5717903",
language = "Английский",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "IEEE Canada",
pages = "3656--3661",
booktitle = "49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC)",
address = "Канада",
note = "null ; Conference date: 15-12-2010 Through 17-12-2010",

}

RIS

TY - GEN

T1 - Adaptive Autonomous Soaring of Multiple UAVs Using Simultaneous Perturbation Stochastic Approximation

AU - Antal, C.

AU - Granichin, O.

AU - Levi, S.

PY - 2010

Y1 - 2010

N2 - This paper presents a new algorithm for maximizing the flight duration of a single UAV (Uninhabited Air Vehicle) and UAVs group using the thermal model developed by Allen at NASA Dryden.As a first step, we suggest a new algorithm based on Simultaneous Perturbation Stochastic Approximation for quick and precise detection of the center of a thermal updraft where the vertical velocity of the air stream is the highest. The method takes into account the unstable behavior of the updraft dynamics and the drift of its center in time.Then, a multi-agent system for joint flight of multiple UAVs is presented. A protocol for UAV communication providing effective information exchange on updrafts locations is proposed. A sufficient condition for the protocol to be effective is deduced theoretically. We show that the energy consumption of each UAV can be significantly reduced using the multi-agent approach.

AB - This paper presents a new algorithm for maximizing the flight duration of a single UAV (Uninhabited Air Vehicle) and UAVs group using the thermal model developed by Allen at NASA Dryden.As a first step, we suggest a new algorithm based on Simultaneous Perturbation Stochastic Approximation for quick and precise detection of the center of a thermal updraft where the vertical velocity of the air stream is the highest. The method takes into account the unstable behavior of the updraft dynamics and the drift of its center in time.Then, a multi-agent system for joint flight of multiple UAVs is presented. A protocol for UAV communication providing effective information exchange on updrafts locations is proposed. A sufficient condition for the protocol to be effective is deduced theoretically. We show that the energy consumption of each UAV can be significantly reduced using the multi-agent approach.

KW - ALGORITHM

U2 - 10.1109/CDC.2010.5717903

DO - 10.1109/CDC.2010.5717903

M3 - статья в сборнике материалов конференции

T3 - Proceedings of the IEEE Conference on Decision and Control

SP - 3656

EP - 3661

BT - 49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC)

PB - IEEE Canada

Y2 - 15 December 2010 through 17 December 2010

ER -

ID: 74014810