Resilient-by-design Multi-agent Decision-Making
Abstract
Multi-agent decision-making is central to future battles. It is also a fundamental problem spanning many sciences and engineering domains, such as control, optimization, and cyber-physical system, where the goal is to coordinate agents to solve system-wide problems. Recent advances from the PIÕs and othersÕ research draw attention to the need for developing an analytical understanding of the resilience of multi-agent decision-making paradigms in contested and congested environments. This work focuses on developing theoretical insights for designing resilient multi-agent control methods to distribute decisionmaking tasks among agents of multi-agent networked systems. In these setups, individual agents (network nodes) independently perform computation and communication tasks while all agents cooperate to solve network-wide decision-making problems. Differently put, autonomous agents collaborate to share resources (such as space and bandwidth) or accomplish system-level tasks. These networked systems abound in practice (e.g., sensor networks, unmanned aerial vehicles and power grids) and may consist of sub-networks, and possibly include one or multiple super-agents (that control a set of system agents). These multi-agent networks may face contested or congested environments and must be resilient to disruptions. To investigate the underlying hypothesis of designing resilient multi-agent decision-making procedures in networkedsystems, we pose the following fundamental question; ¥ How to integrate resilience principles with the multi-agent realization of control problems (in particular, model predictive control paradigm)? And how to develop mathematical abstractions, derive bounds, and capture the collective behavior of resilient multi-agent networked systems? This projectÕs significant contribution will be offering a rich set of theoretical insights and algorithmic tools for weaving resilience principles with distributed control of networked multi-agent systems, with characterizations of the fundamental trade-offs associated with achieving resiliency.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 28, 2023
- Source ID
- W911NF2310239
Entities
People
- Javad Mohammadi
Organizations
- Army Contracting Command
- United States Army
- University of Texas at Austin