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Case Study: Reachability and Scalability in a Unified Combat-Command-and-Control Model

Conference paper
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Part of the Lecture Notes in Computer Science book series (LNCS, volume 12448)

Abstract

Reachability analysis computes an envelope encompassing the reachable states of a hybrid automaton within a given time horizon. It is known to be a computationally intensive task. In this case study paper, we consider the application of reachability analysis on a mathematical model unifying two key warfighting functions: Combat, and Command-and-Control (C2). Reachability here has a meaning of whether, given a range of initial combat forces and a C2 network and various uncertainties, one side can survive combat with intact forces while the adversary is diminished to zero. These are questions which arise in military Operations Research (OR). This paper is the first to utilize the notions of a hybrid automaton and reachability analysis in the area of OR. We explore the applicability and scalability of Taylor-model based reachability techniques in this domain. Our experiments demonstrate the potential of reachability analysis in the context of OR.

Keywords

Hybrid automata Reachability analysis Operations research Combat Command and control 

Notes

Acknowlegements

The authors would like to thank Alexander C. Kalloniatis from Joint and Operations Analysis Division, Defence Science and Technology Group for many productive discussions.

This research was collaboration between the Commonwealth of Australia represented by the Defence Science and Technology Group and Australian National University, where this work was initiated, through a Defence Science Partnerships agreement. The research was conducted under the auspices of the Modelling Complex Warfighting initiative and was supported in part by the Air Force Office of Scientific Research under award number FA2386-17-1-4065. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the United States Air Force.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Newcastle UniversityNewcastle upon TyneUK
  2. 2.Australian National UniversityCanberraAustralia
  3. 3.Universidad de la RepúblicaMontevideoUruguay

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