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Optimal motion planning in rapid‐fire combat situations with attacker uncertainty
Author(s) -
Walton Claire,
Lambrianides Panos,
Kaminer Isaac,
Royset Johannes,
Gong Qi
Publication year - 2018
Publication title -
naval research logistics (nrl)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 68
eISSN - 1520-6750
pISSN - 0894-069X
DOI - 10.1002/nav.21790
Subject(s) - computer science , computation , track (disk drive) , nonlinear system , motion (physics) , mathematical optimization , operations research , artificial intelligence , algorithm , engineering , mathematics , physics , quantum mechanics , operating system
This article provides a modeling framework for quantifying cost and optimizing motion plans in combat situations with rapid weapon fire, multiple agents, and attacker uncertainty characterized by uncertain parameters. Recent developments in numerical optimal control enable the efficient computation of numerical solutions for optimization problems with multiple agents, nonlinear dynamics, and a broad class of objectives. This facilitates the application of more realistic, equipment‐based combat models, which track both more realistic models, which track both agent motion and dynamic equipment capabilities. We present such a framework, along with a described algorithm for finding numerical solutions, and a numerical example.