Abstract
This chapter extends the Luenberger-like plus consensus ideas in Chap. 8 to the case of distributed estimation through unrealiable asynchronous communications networks. Again, a set of agents (observers) is assumed to be deployed to estimate the state of a large-scale process taking partial measurements of the process. Each agent builds its estimation of the plant state based on local measurements and those obtained from neighboring agents. The communication network now features eventual delays and packet dropouts. Both periodic and event-based schemes are analyzed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Recall that each agent stores only a finite amount of past estimates, as was explained in Sect. 11.3.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Rubio, F.R., Orihuela, L., Vivas, C. (2015). Distributed Estimation in Networked Systems. In: Guinaldo Losada, M., Rodríguez Rubio, F., Dormido Bencomo, S. (eds) Asynchronous Control for Networked Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-21299-9_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-21299-9_11
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-21298-2
Online ISBN: 978-3-319-21299-9
eBook Packages: EngineeringEngineering (R0)