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F. Schlee, C. Standish, N. Toda (1966)
Divergence in the Kalman FilterAIAA Journal, 5
Burges Burges, Lettenmaier Lettenmaier (1975)
Robabilistic Methods in Stream Quality ManagementWater Resources Bulletin, 11
S. Burges, D. Lettenmaier (1975)
PROBABILISTIC METHODS IN STREAM QUALITY MANAGEMENTJournal of The American Water Resources Association, 11
L. Schwartz, E. Stear (1968)
A computational comparison of several nonlinear filtersIEEE Transactions on Automatic Control, 13
R. Kálmán, R. Bucy (1961)
New Results in Linear Filtering and Prediction TheoryJournal of Basic Engineering, 83
(2002)
A New Approach to Linear Filtering and Prediction Problems
Kalman Kalman, Bucy Bucy (1961)
New Results in Linear Filtering TheoryTransactions of ASME, Journal of Basic Engineering, 83
Lee Lee (1972)
Nonlinear Filtering and Estimation in Water Quality ModelingKansas Water Resource Research Institute, Contribution, Vol. II
Moore Moore (1973)
Estimation Theory Applications to Design of Water Quality Monitoring SystemsJournal of the Hydraulics Division, ASCE, 99
ABSTRACT. A relatively straightforward illustration of the potential uses of State Estimation techniques in water resources modeling is given. Background theory for Linear and Extended Kalman Filters is given; application of the filter techniques to modeling BOD and oxygen deficit in a stream illustrates the importance of model conceptualization, model completeness, uncertainty in model dynamics and incorporation of measurements and measurement errors. Potential applications of state estimation techniques to measurement system design; model building, assessment and calibration; and data extension are explored.
Journal of the American Water Resources Association – Wiley
Published: Feb 1, 1976
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