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Details for article 12 of 19 found articles
| Title: |
On filtering and smoothing algorithms for non-linear state estimation |
| Author: |
Sage, Andrew P. Ewing, William S. |
| Appeared in: |
International journal of control |
| Paging: | Volume 11 (1970) nr. 1 pages 1-18 |
| Year: |
1970-01-01 |
| Contents: |
This paper discusses a summary derivation of maximum a posteriori estimation for continuous and discrete non-linear systems. It is known that with Gaussian a priori statistics, the maximum a posteriori estimate is equivalent to an appropriate least squares fit. Filtering, fixed interval and fixed point smoothing algorithms for approximate non-linear estimation are obtained for the least squares eurve fit using ' running time ' and ' fixed time ' invariant embedding. Examples illustrating the use of the algorithms are presented. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 12 of 19 found articles
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