Please Scroll down for Article International Journal of Control Distributed Linear Estimation over Sensor Networks Distributed Linear Estimation over Sensor Networks
By Giuseppe Carlo Calafiore, Fabrizio Abrate
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Giorgio Battistelli
- Luigi Chisci
- Giovanni Mugnai
- Alfonso Farina
- Antonio Graziano
- Claudio Fantacci
- Derui Ding
- Arthur G. Richards
Citations in the corpus
- Consensus-Based Linear and Nonlinear Filtering (2015, background): “For what concerns parameter estimation, consensus-based techniques with guaranteed performance can be found for example in [2], [3].”
- Consensus CPHD Filter for Distributed Multitarget Tracking (2013, background): “In recent years, consensus algorithms have emerged as powerful tools for distributed computation over networks [15], [21] and have been widely used in distributed parameter/state estimation algorithms [14], [22]–[28].”
- Kullback-Leibler average, consensus on probability densities, and distributed state estimation with guaranteed stability (2014, background): “Aswell known (Calafiore & Abrate, 2009), a necessary condition for thematrixΠ to be primitive is that the graphG associatedwith the sensor network be strongly connected, i.e. for any pair of nodes i, j ∈ N there must be a path from i to j and vice versa.”