Title :
Team-triggered coordination of networked systems
Author :
Nowzari, Cameron ; Cortes, Jorge
Author_Institution :
Dept. of Mech. & Aerosp. Eng., Univ. of California, San Diego, La Jolla, CA, USA
Abstract :
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.
Keywords :
convergence; decentralised control; distributed control; networked control systems; asymptotic convergence properties; distributed systems; event-triggered communication; event-triggered control; multiagent formation control problem; networked systems; self-triggered communication; self-triggered control; team-triggered coordination law; Actuators; Algorithm design and analysis; Availability; Convergence; Schedules; Sensors;
Conference_Titel :
American Control Conference (ACC), 2013
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4799-0177-7
DOI :
10.1109/ACC.2013.6580422