Title :
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
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;
Conference_Titel :
Decision and Control, 2006 45th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
1-4244-0171-2
DOI :
10.1109/CDC.2006.377078
