MAE 247
Cooperative Control of Multi-agent Systems
Tools for the design of cooperative control strategies for multi-agent systems are presented. Topics include continuous and discrete-time evolution models, proximity graphs, performance measures, invariance principles, and coordination algorithms for rendezvous, deployment, flocking, formation of autonomous vehicles and consensus. Prerequisites: graduate standing.
Topics
- continuous and discrete-time evolution models
- proximity graphs
- performance measures
- invariance principles
- and coordination algorithms for rendezvous
- deployment
- flocking
- formation of autonomous vehicles and consensus
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027