Accession Number:

AD1085638

Title:

Reliable Multi-Agent Control in Failure-Prone Environments via Inhomogeneous Markov Chains

Descriptive Note:

Technical Report,15 Sep 2015,14 Mar 2019

Corporate Author:

UNIVERSITY OF ILLINOIS URBANA United States

Personal Author(s):

• Olshevsky,Alex

Report Date:

2019-01-04

Pagination or Media Count:

9.0

Abstract:

This project developed protocols for the coordination of autonomous nodes such as UAVs, ROVs, and other robotic platforms operating in fault-prone environments characterized by noisy and time-varying communication, message losses, and persistent and unpredictable node failures. For problems of formation control, leader-following, cooperative estimation and learning, resource allocation, and others tasks fitting within a separable optimization framework, control strategies were developed with fast and reliable performance, even in simulated networks of thousands of nodes.

Descriptors:

• Markov Chains
• autonomous systems
• optimization

Subject Categories:

• Statistics and Probability
• Navigation and Guidance

Distribution Statement:

APPROVED FOR PUBLIC RELEASE