An output feedback approach to adaptive optimal control of unmanned multi-agent teams
Abstract
The United States Air Force (USAF) April 2019 Science and Technology Strategy report identifies the need for the USAF to “develop and deliver transformational capabilities” while “maintaining the ability to dominate time, space, and complexity in future conflict across all operating domains to project power and defend the homeland [1].” To achieve said dominance, the report emphasizes operational strategies that increase the speed and the complexity of the battlespace by transforming the “current force structure, which emphasizes relatively low numbers of high value assets,” into one that overwhelms hostile forces through augmentation of high-end platforms with larger numbers of inexpensive, low-end systems capable of rapid and effective decision making. The objective of this project is to develop novel solutions to the multi-agent optimal decision making problem by formulating it as an output-feedback adaptive optimal control problem. Decentralized solutions can then be developed under different assumptions on the global information available to each agent.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 18, 2023
- Source ID
- FA86512310006
Entities
People
- Rushikesh Kamalapurkar
Organizations
- Air Force Research Laboratory
- Oklahoma State University–Stillwater
- United States Air Force