Title :
A comparative study of decentralized data reconciliation algorithms
Author :
Zasadzinski, M. ; Darouach, M. ; Keller, J.Y. ; Boutayeb, M. ; Krzakala, G.
Author_Institution :
Lab. d´´Autom. et de Recherche Appliquee de Longwy, France
Abstract :
A comparative study of data reconciliation methods based on decentralized calculus is presented. An efficient strategy for reconciling data requires a dimensionality reduction of the initial problem by observability and redundancy concepts. The decentralized calculus is applied to the redundant subsystem obtained by this decomposition. The result obtained from applying different algorithms to a numerical example shows the efficiency of using an analytical algorithm with coordination by coupling variables. If there is a incidence matrix of a subsystem which is not a full row rank matrix, the Gauss-Seidel algorithm can be used. A relaxation scheme guarantees the convergence of this algorithm
Keywords :
calculus; control system analysis; matrix algebra; process control; Gauss-Seidel; algorithms; control system analysis; convergence; coupling variables; decentralized calculus; decentralized data reconciliation algorithms; dimensionality reduction; matrix algebra; observability; process control; redundancy; redundant subsystem; Calculus; Instruments; Large-scale systems; Maximum likelihood estimation; Measurement errors; Observability; Process control; State estimation; Steady-state; Vectors;
Conference_Titel :
Industrial Electronics Society, 1989. IECON '89., 15th Annual Conference of IEEE
Conference_Location :
Philadelphia, PA
DOI :
10.1109/IECON.1989.69676
