Abstract
In this paper, we examine a class of counter-swarm problems featuring small teams of antagonists. The objective of the counter-swarm algorithm is to minimize the connectivity of the team using a single adversarial pursuer. We devise a novel criterion for the connectivity of an undirected graph, based on an augmentation of its Laplacian. We prove theoretically how the criterion depends on the size and the connectivity of the graph. Next, we pose optimal control problems which use this criterion as well as the eigenvalues of the Laplacian. We show how the properties of the team dynamics and their interaction with the pursuer define an envelope within which the pursuer achieves the desired objectives.
Original language | English |
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Title of host publication | 2023 62nd IEEE Conference on Decision and Control, CDC 2023 |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 2809-2814 |
Number of pages | 6 |
ISBN (Electronic) | 9798350301243 |
DOIs | |
Publication status | Published - 2023 |
Externally published | Yes |
Event | IEEE Conference on Decision and Control 2023 - Singapore, Singapore Duration: 13 Dec 2023 → 15 Dec 2023 Conference number: 62nd https://ieeexplore.ieee.org/xpl/conhome/10383192/proceeding (Proceedings) https://cdc2023.ieeecss.org/ (Website) |
Publication series
Name | Proceedings of the IEEE Conference on Decision and Control |
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ISSN (Print) | 0743-1546 |
ISSN (Electronic) | 2576-2370 |
Conference
Conference | IEEE Conference on Decision and Control 2023 |
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Abbreviated title | CDC 2023 |
Country/Territory | Singapore |
City | Singapore |
Period | 13/12/23 → 15/12/23 |
Internet address |
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