A scattering framework for decentralized estimation problems

DOI10.1016/0005-1098(83)90051-1zbMath0518.93055OpenAlexW2003801405MaRDI QIDQ1054694

George C. Verghese, David A. Castanon, Bernard C. Levy, Alan S. Willsky

Publication date: 1983

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(83)90051-1

zbMATH Keywords

state estimationKalman filteringdecentralized estimationscattering methods

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Hierarchical systems (93A13) Signal detection and filtering (aspects of stochastic processes) (60G35) Data smoothing in stochastic control theory (93E14) Large-scale systems (93A15) Ordinary differential operators (34L99)

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Cites Work

• Unnamed Item
• A unified approach to smoothing formulas
• Scattering theory and linear least squares estimation. II: Discrete-time problems
• A solution of the smoothing problem for linear dynamic systems
• On the Relation of Transmission-Line Theory to Scattering and Transfer
• Combining and updating of local estimates and regional maps along sets of one-dimensional tracks
• Scattering theory and linear least-squares estimation, part III: The estimates
• Kalman filtering in two dimensions
• Specific structures for large-scale state estimation algorithms having information exchange
• Computation and transmission requirements for a decentralized linear-quadratic-Gaussian control problem