Team-triggered coordination of networked systems
Cameron Nowzari, Jorge Cortés · 2013
This paper proposes an approach for improved methods of performing event- and self-triggered communication and control on networked systems. Current self-triggered strategies are known to be quite conservative whereas event-triggered approaches are costly to implement on distributed systems that rely on wireless communication for information transmission. To overcome these limitations, we propose a novel class of team-triggered coordination laws that combine ideas from event- and self-triggered control, are implementable on networked systems, and maintain desired levels of performance. We characterize the asymptotic convergence properties of team-triggered strategies and show that they perform no worse than self-triggered approaches in terms of required communication. Simulations on a multi-agent formation control problem illustrate our results.