Efficient Numerical Methods for Defense Against Large-Scale Swarm Attacks
Abstract
The proposed research seeks to develop a novel methodology to design optimal control algorithms for swarm-on-swarm engagement that are scalable to a large number of agents with complex dynamics. The proposed methodology is based on a combination of ideas from Koopman operator theory, optimal control, and numerical optimization. Our goal is to develop theoretical tools for controller analysis and design, as well as the associated numerical algorithms needed to apply these tools to scenarios that are relevant to the Department of Defense (DoD). While aimed at DoD problems, the tools to be developed are applicable to the design of multi-agent systems with broader public benefit. The UCSB PI has an history of collaboration with NPS faculty with complementary expertise. The proposed technical approach leverages recent research by Prof. Isaac Kaminar (NPS) on designing defenses against swarms attacks using optimal control as well as research by Prof. Jo˜ao Hespanha (UCSB) on identification and control of nonlinear dynamics represented by the Koopman operator.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Oct 04, 2023
- Source ID
- N002442320003
Entities
People
- João Hespanha
Organizations
- United States Navy
- University of California, Santa Barbara