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Estimation, Control, and the Discrete Kalman Filter
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Pages: 286
Authors: Donald E. Catlin
Categories: Technology & Engineering
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

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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
Optimal and Robust Estimation
Language: en
Pages: 546
Authors: Frank L. Lewis
Categories: Technology & Engineering
Type: BOOK - Published: 2017-12-19 - Publisher: CRC Press

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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
Introduction and Implementations of the Kalman Filter
Language: en
Pages: 130
Authors: Felix Govaers
Categories: Computers
Type: BOOK - Published: 2019-05-22 - Publisher: BoD – Books on Demand

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Sensor data fusion is the process of combining error-prone, heterogeneous, incomplete, and ambiguous data to gather a higher level of situational awareness. In
Optimal State Estimation
Language: en
Pages: 554
Authors: Dan Simon
Categories: Technology & Engineering
Type: BOOK - Published: 2006-06-19 - Publisher: John Wiley & Sons

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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
Digital and Kalman Filtering
Language: en
Pages: 180
Authors: S. M. Bozic
Categories: Technology & Engineering
Type: BOOK - Published: 1994-10-11 - Publisher: John Wiley & Sons

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Interest in digital filtering techniques continues to grow with the general increase in the use of digital processors. The first five chapters of this book form