Behavioral control of UAVs with multi-threat evasion strategy inspired by biological systems

Sami El Ferik

doi:10.1109/SSD.2017.8167018

Behavioral control of UAVs with multi-threat evasion strategy inspired by biological systems

Sami El Ferik^*

^*Corresponding author for this work

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

5 Scopus citations

Abstract

The problem of having a multi-agent nonholonomic systems achieve a desired mission in a multi-threat prone environment is addressed in this paper. In such hostile environment, the ability to reach a target, keep formation and evade a threat is crucial. This paper proposes a behavioral control algorithm that makes the multi-agent system operates by switching through different navigation algorithms. To ensure stability while switching, cohesive motion and formation maintenance, evasion if under threat, as well as mission accomplishment a combination of path tracking and potential field strategies has been implemented. These algorithms are inspired from the behavior control of a school of fish in a foraging mission while under shark attack.

Original language	English
Title of host publication	2017 14th International Multi-Conference on Systems, Signals and Devices, SSD 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	181-186
Number of pages	6
ISBN (Electronic)	9781538631751
DOIs	https://doi.org/10.1109/SSD.2017.8167018
State	Published - 4 Dec 2017

Publication series

Name	2017 14th International Multi-Conference on Systems, Signals and Devices, SSD 2017
Volume	2017-January

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Multi-agents
Nonholonomic
Threat evasion
Tracking control
adaptive networks
bio-inspired
evasion
multiple UAVs
tracking control. Nonholonomic systems

ASJC Scopus subject areas

Computer Science Applications
Signal Processing
Control and Optimization
Instrumentation

Access to Document

10.1109/SSD.2017.8167018

Cite this

Ferik, S. E. (2017). Behavioral control of UAVs with multi-threat evasion strategy inspired by biological systems. In 2017 14th International Multi-Conference on Systems, Signals and Devices, SSD 2017 (pp. 181-186). (2017 14th International Multi-Conference on Systems, Signals and Devices, SSD 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSD.2017.8167018

@inproceedings{c123bf30d4f149bba9a8ff94d9b42628,

title = "Behavioral control of UAVs with multi-threat evasion strategy inspired by biological systems",

abstract = "The problem of having a multi-agent nonholonomic systems achieve a desired mission in a multi-threat prone environment is addressed in this paper. In such hostile environment, the ability to reach a target, keep formation and evade a threat is crucial. This paper proposes a behavioral control algorithm that makes the multi-agent system operates by switching through different navigation algorithms. To ensure stability while switching, cohesive motion and formation maintenance, evasion if under threat, as well as mission accomplishment a combination of path tracking and potential field strategies has been implemented. These algorithms are inspired from the behavior control of a school of fish in a foraging mission while under shark attack.",

keywords = "Multi-agents, Nonholonomic, Threat evasion, Tracking control, adaptive networks, bio-inspired, evasion, multiple UAVs, tracking control. Nonholonomic systems",

author = "Ferik, \{Sami El\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.",

year = "2017",

month = dec,

day = "4",

doi = "10.1109/SSD.2017.8167018",

language = "English",

series = "2017 14th International Multi-Conference on Systems, Signals and Devices, SSD 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "181--186",

booktitle = "2017 14th International Multi-Conference on Systems, Signals and Devices, SSD 2017",

address = "United States",

}

Ferik, SE 2017, Behavioral control of UAVs with multi-threat evasion strategy inspired by biological systems. in 2017 14th International Multi-Conference on Systems, Signals and Devices, SSD 2017. 2017 14th International Multi-Conference on Systems, Signals and Devices, SSD 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 181-186. https://doi.org/10.1109/SSD.2017.8167018

Behavioral control of UAVs with multi-threat evasion strategy inspired by biological systems. / Ferik, Sami El.
2017 14th International Multi-Conference on Systems, Signals and Devices, SSD 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 181-186 (2017 14th International Multi-Conference on Systems, Signals and Devices, SSD 2017; Vol. 2017-January).

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

TY - GEN

T1 - Behavioral control of UAVs with multi-threat evasion strategy inspired by biological systems

AU - Ferik, Sami El

PY - 2017/12/4

Y1 - 2017/12/4

N2 - The problem of having a multi-agent nonholonomic systems achieve a desired mission in a multi-threat prone environment is addressed in this paper. In such hostile environment, the ability to reach a target, keep formation and evade a threat is crucial. This paper proposes a behavioral control algorithm that makes the multi-agent system operates by switching through different navigation algorithms. To ensure stability while switching, cohesive motion and formation maintenance, evasion if under threat, as well as mission accomplishment a combination of path tracking and potential field strategies has been implemented. These algorithms are inspired from the behavior control of a school of fish in a foraging mission while under shark attack.

AB - The problem of having a multi-agent nonholonomic systems achieve a desired mission in a multi-threat prone environment is addressed in this paper. In such hostile environment, the ability to reach a target, keep formation and evade a threat is crucial. This paper proposes a behavioral control algorithm that makes the multi-agent system operates by switching through different navigation algorithms. To ensure stability while switching, cohesive motion and formation maintenance, evasion if under threat, as well as mission accomplishment a combination of path tracking and potential field strategies has been implemented. These algorithms are inspired from the behavior control of a school of fish in a foraging mission while under shark attack.

KW - Multi-agents

KW - Nonholonomic

KW - Threat evasion

KW - Tracking control

KW - adaptive networks

KW - bio-inspired

KW - evasion

KW - multiple UAVs

KW - tracking control. Nonholonomic systems

UR - https://www.scopus.com/pages/publications/85046667169

U2 - 10.1109/SSD.2017.8167018

DO - 10.1109/SSD.2017.8167018

M3 - Conference contribution

AN - SCOPUS:85046667169

T3 - 2017 14th International Multi-Conference on Systems, Signals and Devices, SSD 2017

SP - 181

EP - 186

BT - 2017 14th International Multi-Conference on Systems, Signals and Devices, SSD 2017

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Ferik SE. Behavioral control of UAVs with multi-threat evasion strategy inspired by biological systems. In 2017 14th International Multi-Conference on Systems, Signals and Devices, SSD 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 181-186. (2017 14th International Multi-Conference on Systems, Signals and Devices, SSD 2017). doi: 10.1109/SSD.2017.8167018

Behavioral control of UAVs with multi-threat evasion strategy inspired by biological systems

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this