Name
Abstract | ||
|---|---|---|
This paper addresses the problem of reducing the number of transmissions and control updates in a distributed control network of interconnected linear systems. Each node in the network decides when to transmit its state through the network and when to update the control law. Both decisions are event-driven and based on local information. It is shown that the stability of the system is preserved and the state of the system converges to a small region around the origin, whose size depends on the parameters of the transmission and control update trigger functions. A strictly positive lower bound for the inter-event times is derived. The results are illustrated through simulations showing the effectiveness of the proposed approach. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CDC.2013.6760721 | Decision and Control |
Keywords | Field | DocType |
distributed control,interconnected systems,networked control systems,stability,actuation reduction,communication reduction,control law,control updates,distributed control systems,event-driven decision,inter-event times,interconnected linear systems,network node,stability,strictly positive lower bound,trigger functions | Linear system,Control theory,Computer science,Upper and lower bounds,Networked control system,Control network,Distributed control system,Distributed computing | Conference |
ISSN | ISBN | Citations |
0743-1546 | 978-1-4673-5714-2 | 0 |
PageRank | References | Authors |
0.34 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maria Guinaldo | 1 | 98 | 11.53 |
| Daniel Lehmann | 2 | 69 | 7.19 |
| José L. Sánchez | 3 | 252 | 40.65 |
| Sebastián Dormido | 4 | 337 | 55.36 |