Herding an Adversarial Swarm in an Obstacle Environment.

CDC

@inproceedings{DBLP:conf/cdc/ChipadeP19,
  author       = {Vishnu S. Chipade and
                  Dimitra Panagou},
  title        = {Herding an Adversarial Swarm in an Obstacle Environment},
  booktitle    = {58th {IEEE} Conference on Decision and Control, {CDC} 2019, Nice,
                  France, December 11-13, 2019},
  pages        = {3685--3690},
  publisher    = {{IEEE}},
  year         = {2019},
  url          = {https://doi.org/10.1109/CDC40024.2019.9029573},
  doi          = {10.1109/CDC40024.2019.9029573},
  timestamp    = {Fri, 04 Mar 2022 13:30:46 +0100},
  biburl       = {https://dblp.org/rec/conf/cdc/ChipadeP19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Abstract

This paper studies a defense approach against a swarm of adversarial agents. We employ a closed formation (‘StringNet’) of defending agents around the adversarial agents to restrict their motion and guide them to a safe area while navigating in an obstacle-populated environment. Control laws for forming the StringNet and guiding it to a safe area are developed, and the stability of the closed-loop system is analyzed formally. The adversarial swarm is assumed to move as a flock in the presence of rectangular obstacles. Simulation results are provided to demonstrate the efficacy of the approach.

Authors

Dimitra Panagou

link /

Bib

@inproceedings{DBLP:conf/cdc/ChipadeP19,
  author       = {Vishnu S. Chipade and
                  Dimitra Panagou},
  title        = {Herding an Adversarial Swarm in an Obstacle Environment},
  booktitle    = {58th {IEEE} Conference on Decision and Control, {CDC} 2019, Nice,
                  France, December 11-13, 2019},
  pages        = {3685--3690},
  publisher    = {{IEEE}},
  year         = {2019},
  url          = {https://doi.org/10.1109/CDC40024.2019.9029573},
  doi          = {10.1109/CDC40024.2019.9029573},
  timestamp    = {Fri, 04 Mar 2022 13:30:46 +0100},
  biburl       = {https://dblp.org/rec/conf/cdc/ChipadeP19.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}