An adaptive optimal control approach for multi-agent autonomy in aerospace applications
Abstract
The University of Florida is requesting a grant in the amount of $576,761.00 (base period: $171,695.00; Year One (Option): $177,212.00; Year 2 (Option): $227,854.00). 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.” To achieve this dominance, the report emphasizes operational strategies that increase the speed and 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 by augmenting high-end platforms with larger numbers of inexpensive, low-end systems capable of rapid and effective decision making. The primary objective of this project is to develop novel solutions to multi-agent learning and control problems by formulating them as output-feedback adaptive optimal control problems.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 19, 2024
- Source ID
- FA86512410019
Entities
People
- Rushikesh Kamalapurkar
Organizations
- Air Force Research Laboratory
- United States Air Force
- University of Florida