Stability and Convergence Properties of Dynamic Average Consensus Estimators

Author

Freeman, Randy A. ; Yang, Peng ; Lynch, Kevin M.

Author_Institution

Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL

fYear

2006

fDate

13-15 Dec. 2006

Firstpage

338

Lastpage

343

Abstract

We analyze two different estimation algorithms for dynamic average consensus in sensing and communication networks, a proportional algorithm and a proportional-integral algorithm. We investigate the stability properties of these estimators under changing inputs and network topologies as well as their convergence properties under constant or slowly-varying inputs. In doing so, we discover that the more complex proportional-integral algorithm has performance benefits over the simpler proportional algorithm

Keywords

PI control; convergence; estimation theory; stability; telecommunication control; telecommunication network topology; communication network; convergence properties; dynamic average consensus estimators; estimation algorithm; network topologies; proportional-integral algorithm; sensing network; stability; Communication networks; Communication system control; Control systems; Convergence; Heuristic algorithms; Network topology; Nonlinear control systems; Stability; State estimation; Temperature sensors;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2006 45th IEEE Conference on

Conference_Location

San Diego, CA

Print_ISBN

1-4244-0171-2

Type

conf

DOI

10.1109/CDC.2006.377078

Filename

4177692