Publication:
Optimal motion planning in rapid-fire combat situations with attacker uncertainty

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Authors
Walton, Claire
Lambrianides, Panos
Kaminer, Isaac
Royset, Johannes
Gong, Qi
Subjects
autonomous vehicles
combat modeling
nonlinear control
path planning
trajectory planning
Advisors
Date of Issue
2018-03
Date
03/01/2018
Publisher
Wiley
Language
en_US
Abstract
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 com- bat 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.
Type
Article
Description
The article of record as published may be found at https://doi.org/10.1002/nav.21790
Series/Report No
Department
Identifiers
NPS Report Number
Sponsors
Office of Naval Research
Funder
N001418WX01204
N001417WX01098
N001415WX01451.
Format
Citation
Walton, Claire, et al. "Optimal motion planning in rapid‐fire combat situations with attacker uncertainty." Naval Research Logistics (NRL) 65.2 (2018): 101-119.
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