Mathematics of Kalman-Bucy Filtering:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1988
|
| Edition: | Second Edition |
| Series: | Springer Series in Information Sciences
14 |
| Subjects: | |
| Online Access: | Volltext |
| Item Description: | The second edition has not deviated significantly from the first. The printing of this edition, however, has allowed us to make a number of corrections which escaped our scrutiny at the time of the first printing, and to generally improve and tighten our presentation of the material. Many of these changes were suggested to us by colleagues and readers and their kindness in doing so is greatly appreciated. Delft, The Netherlands and P. A. Ruymgaart Buffalo, New York, December, 1987 T. T. Soong Preface to the First Edition Since their introduction in the mid 1950s, the filtering techniques developed by Kalman, and by Kalman and Bucy have been widely known and widely used in all areas of applied sciences. Starting with applications in aerospace engineering, their impact has been felt not only in all areas of engineering but as all also in the social sciences, biological sciences, medical sciences, as well other physical sciences. Despite all the good that has come out of this devel opment, however, there have been misuses because the theory has been used mainly as a tool or a procedure by many applied workers without fully understanding its underlying mathematical workings. This book addresses a mathematical approach to Kalman-Bucy filtering and is an outgrowth of lectures given at our institutions since 1971 in a sequence of courses devoted to Kalman-Bucy filters |
| Physical Description: | 1 Online-Ressource (XII, 170p. 19 illus) |
| ISBN: | 9783642733413 9783540187813 |
| ISSN: | 0720-678X |
| DOI: | 10.1007/978-3-642-73341-3 |
Staff View
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Record in the Search Index
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| discipline | Physik Informatik |
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| illustrated | Not Illustrated |
| indexdate | 2025-02-12T03:00:26Z |
| institution | BVB |
| isbn | 9783642733413 9783540187813 |
| issn | 0720-678X |
| language | English |
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| owner_facet | DE-91 DE-BY-TUM DE-83 |
| physical | 1 Online-Ressource (XII, 170p. 19 illus) |
| psigel | ZDB-2-PHA ZDB-2-BAE ZDB-2-PHA_Archive |
| publishDate | 1988 |
| publishDateSearch | 1988 |
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| publisher | Springer Berlin Heidelberg |
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| series2 | Springer Series in Information Sciences |
| spelling | Ruymgaart, Peter A. Verfasser aut Mathematics of Kalman-Bucy Filtering by Peter A. Ruymgaart, Tsu T. Soong Second Edition Berlin, Heidelberg Springer Berlin Heidelberg 1988 1 Online-Ressource (XII, 170p. 19 illus) txt rdacontent c rdamedia cr rdacarrier Springer Series in Information Sciences 14 0720-678X The second edition has not deviated significantly from the first. The printing of this edition, however, has allowed us to make a number of corrections which escaped our scrutiny at the time of the first printing, and to generally improve and tighten our presentation of the material. Many of these changes were suggested to us by colleagues and readers and their kindness in doing so is greatly appreciated. Delft, The Netherlands and P. A. Ruymgaart Buffalo, New York, December, 1987 T. T. Soong Preface to the First Edition Since their introduction in the mid 1950s, the filtering techniques developed by Kalman, and by Kalman and Bucy have been widely known and widely used in all areas of applied sciences. Starting with applications in aerospace engineering, their impact has been felt not only in all areas of engineering but as all also in the social sciences, biological sciences, medical sciences, as well other physical sciences. Despite all the good that has come out of this devel opment, however, there have been misuses because the theory has been used mainly as a tool or a procedure by many applied workers without fully understanding its underlying mathematical workings. This book addresses a mathematical approach to Kalman-Bucy filtering and is an outgrowth of lectures given at our institutions since 1971 in a sequence of courses devoted to Kalman-Bucy filters Computer science Coding theory Distribution (Probability theory) Statistics Computer Science Coding and Information Theory Probability Theory and Stochastic Processes Statistics, general Informatik Statistik Kalman-Filter (DE-588)4130759-8 gnd rswk-swf Mathematik (DE-588)4037944-9 gnd rswk-swf Kalman-Filter (DE-588)4130759-8 s Mathematik (DE-588)4037944-9 s 1\p DE-604 2\p DE-604 Soong, Tsu T. Sonstige oth https://doi.org/10.1007/978-3-642-73341-3 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Ruymgaart, Peter A. Mathematics of Kalman-Bucy Filtering Computer science Coding theory Distribution (Probability theory) Statistics Computer Science Coding and Information Theory Probability Theory and Stochastic Processes Statistics, general Informatik Statistik Kalman-Filter (DE-588)4130759-8 gnd Mathematik (DE-588)4037944-9 gnd |
| subject_GND | (DE-588)4130759-8 (DE-588)4037944-9 |
| title | Mathematics of Kalman-Bucy Filtering |
| title_auth | Mathematics of Kalman-Bucy Filtering |
| title_exact_search | Mathematics of Kalman-Bucy Filtering |
| title_full | Mathematics of Kalman-Bucy Filtering by Peter A. Ruymgaart, Tsu T. Soong |
| title_fullStr | Mathematics of Kalman-Bucy Filtering by Peter A. Ruymgaart, Tsu T. Soong |
| title_full_unstemmed | Mathematics of Kalman-Bucy Filtering by Peter A. Ruymgaart, Tsu T. Soong |
| title_short | Mathematics of Kalman-Bucy Filtering |
| title_sort | mathematics of kalman bucy filtering |
| topic | Computer science Coding theory Distribution (Probability theory) Statistics Computer Science Coding and Information Theory Probability Theory and Stochastic Processes Statistics, general Informatik Statistik Kalman-Filter (DE-588)4130759-8 gnd Mathematik (DE-588)4037944-9 gnd |
| topic_facet | Computer science Coding theory Distribution (Probability theory) Statistics Computer Science Coding and Information Theory Probability Theory and Stochastic Processes Statistics, general Informatik Statistik Kalman-Filter Mathematik |
| url | https://doi.org/10.1007/978-3-642-73341-3 |
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