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Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media
In 1960, R. E. Kalman published his celebrated paper on recursive min imum variance estimation in dynamical systems [14]. This paper, which introduced an algori
Language: en
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Pages: 546
Type: BOOK - Published: 2017-12-19 - Publisher: CRC Press
More than a decade ago, world-renowned control systems authority Frank L. Lewis introduced what would become a standard textbook on estimation, under the title
Language: en
Pages: 130
Pages: 130
Type: BOOK - Published: 2019-05-22 - Publisher: BoD – Books on Demand
Sensor data fusion is the process of combining error-prone, heterogeneous, incomplete, and ambiguous data to gather a higher level of situational awareness. In
Language: en
Pages: 554
Pages: 554
Type: BOOK - Published: 2006-06-19 - Publisher: John Wiley & Sons
A bottom-up approach that enables readers to master and apply the latest techniques in state estimation This book offers the best mathematical approaches to est
Language: en
Pages: 639
Pages: 639
Type: BOOK - Published: 2015-02-02 - Publisher: John Wiley & Sons
The definitive textbook and professional reference on Kalman Filtering – fully updated, revised, and expanded This book contains the latest developments in th
