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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Source Title
Journal of the Franklin Institute
Print ISSN
0016-0032
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Publisher
Elsevier
Volume
327
Issue
3
Pages
503 - 511
Language
English
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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.

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Published Version (Please cite this version)