GUARANTEED CAPTURE IN MULTI-AGENT INTERCEPT PROBLEMS

Abstract

The main objective of this work is to provide a scalable control solution for guaranteedcapture in multi-agent interceptor problems in the presence of different vehicle kinematicconstraints. To that end, this work seeks to convert the interceptor problem from the traditionaloptimal control theoretic framework to a coverage control problem, which makes it moresuitable to find solutions in the multi-agent context. Within this framework, distributed coveragecontrol laws will be provided as well as formal capture guarantees that will be verified viasimulation and robotic implementations. In particular, this work addresses the Flight Dynamicsand Control area objective of ensuring weapon system coordination success on counteringthreats for ship defense purposes. It explicitly addresses the challenge area of providingmathematically rigorous success guarantees for a system of vehicles operating with similarobjectives, although the framework is abstract enough that it could potentially be applied to anumber of different applications.

Document Details

Document Type
DoD Grant Award
Publication Date
May 05, 2021
Source ID
N000142112415

Entities

People

  • Phillip Rivera

Organizations

  • Johns Hopkins University
  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Operations Research
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control