Triggered Control for Distributed Optimization and Learning in Networked Multi-Agent Systems
Abstract
The objective of this proposal is to lay down the foundation of a novel, unified framework for the design of distributed triggered control strategies that endow networked systems with greater autonomy and decision making capabilities in dynamic environments subject to uncertainty and evolving task specifications.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 23, 2016
- Source ID
- FA95501510108
Entities
People
- Jorge Cortés
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of California, San Diego