Optimal motion planning in rapid‐fire combat situations with attacker uncertainty
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 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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Mar 01, 2018
- Source ID
- 10.1002/nav.21790
Entities
People
- Claire Walton
- Isaac Kaminer
- Johannes Royset
- Panos Lambrianides
- Qi Gong
Organizations
- Naval Postgraduate School
- Office of Naval Research
- University of California, Santa Cruz