Descripci�n Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a comprehensive investigation into challenging problems concerning the application of Kalman filteringIntroduces state-of-art techniques and a wealth of novel resultsCan serve as either a reference book or a textbook. N� de ref. del art�culo: 418570258

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Kalman Filtering and Information Fusion

Hongbin Ma

Publicado por Springer Nature Singapore Dez 2020 (2020)

ISBN 10: 9811508089 ISBN 13: 9789811508080

Nuevo Taschenbuch Cantidad disponible: 2

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BuchWeltWeit Ludwig Meier e.K.
(Bergisch Gladbach, Alemania)

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Descripci�n Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses a key technology for digital information processing: Kalman filtering, which is generally considered to be one of the greatest discoveries of the 20th century. It introduces readers to issues concerning various uncertainties in a single plant, and to corresponding solutions based on adaptive estimation. Further, it discusses in detail the issues that arise when Kalman filtering technology is applied in multi-sensor systems and/or multi-agent systems, especially when various sensors are used in systems like intelligent robots, autonomous cars, smart homes, smart buildings, etc., requiring multi-sensor information fusion techniques. Furthermore, when multiple agents (subsystems) interact with one another, it produces coupling uncertainties, a challenging issue that is addressed here with the aid of novel decentralized adaptive filtering techniques.Overall, the book's goal is to provide readers with a comprehensive investigation into the challenging problem of making Kalman filtering work well in the presence of various uncertainties and/or for multiple sensors/components. State-of-art techniques are introduced, together with a wealth of novel findings. As such, it can be a good reference book for researchers whose work involves filtering and applications; yet it can also serve as a postgraduate textbook for students in mathematics, engineering, automation, and related fields.To read this book, only a basic grasp of linear algebra and probability theory is needed, though experience with least squares, navigation, robotics, etc. would definitely be a plus. 312 pp. Englisch. N� de ref. del art�culo: 9789811508080

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Kalman Filtering and Information Fusion

Hongbin Ma

Publicado por Springer Nature Singapore (2020)

ISBN 10: 9811508089 ISBN 13: 9789811508080

Nuevo Taschenbuch Cantidad disponible: 1

Librería:

AHA-BUCH GmbH
(Einbeck, Alemania)

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Descripci�n Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses a key technology for digital information processing: Kalman filtering, which is generally considered to be one of the greatest discoveries of the 20th century. It introduces readers to issues concerning various uncertainties in a single plant, and to corresponding solutions based on adaptive estimation. Further, it discusses in detail the issues that arise when Kalman filtering technology is applied in multi-sensor systems and/or multi-agent systems, especially when various sensors are used in systems like intelligent robots, autonomous cars, smart homes, smart buildings, etc., requiring multi-sensor information fusion techniques. Furthermore, when multiple agents (subsystems) interact with one another, it produces coupling uncertainties, a challenging issue that is addressed here with the aid of novel decentralized adaptive filtering techniques.Overall, the book's goal is to provide readers with a comprehensive investigation into the challenging problem of making Kalman filtering work well in the presence of various uncertainties and/or for multiple sensors/components. State-of-art techniques are introduced, together with a wealth of novel findings. As such, it can be a good reference book for researchers whose work involves filtering and applications; yet it can also serve as a postgraduate textbook for students in mathematics, engineering, automation, and related fields.To read this book, only a basic grasp of linear algebra and probability theory is needed, though experience with least squares, navigation, robotics, etc. would definitely be a plus. N� de ref. del art�culo: 9789811508080

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