State smoothing and filtering using a constant memory for dynamic systems with nonlinear interference and missing observations.
Date
1990
Authors
Demirbaş, K.
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Abstract
Time-varying finite state models and interpolating functions are used to estimate the states of nonlinear discrete dynamic models with nonlinear interference and missing observations. State estimation is carried out in blocks so that its implementation requires a constant memory.
Source Title
Journal of the Franklin Institute
Publisher
Elsevier
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Language
English