Nonlinear Filtering, Jitendra R. Raol and Girija Gopalratnam

Автор: Mohinder S. Grewal,Angus P. Andrews
Название: Kalman Filtering: Theory and Practice with MATLAB
ISBN: 1118851218 ISBN-13(EAN): 9781118851210
Издательство: Wiley
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Цена: 120330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The definitive textbook and professional reference on Kalman Filtering fully updated, revised, and expanded This book contains the latest developments in the implementation and application of Kalman filtering.

Автор: Grewal
Название: Kalman Filtering: Theory and Practice Using MATLAB, 3rd Edition
ISBN: 0470173661 ISBN-13(EAN): 9780470173664
Издательство: Wiley
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Цена: 93450.00 T
Наличие на складе: Невозможна поставка.
Описание: Organized for use as a text for an introductory course in stochastic processes at the senior level and as a first-year, graduate-level course in Kalman filtering theory and applications, this book includes real-world problems in practice as illustrative examples, and also covers the more practical aspects of implementation. The author Grewal teaches at Cal State Fullerton and also offers seminars and tutorials on Kalman Filters. Dr. Grewal has contributed the Article on Kalman Filters for the Webster Encyclopedia. 

Автор: Mahmoud
Название: Networked Filtering and Fusion in Wireless Sensor Networks
ISBN: 1482250969 ISBN-13(EAN): 9781482250961
Издательство: Taylor&Francis
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Цена: 137810.00 T
Наличие на складе: Невозможна поставка.
Описание:

By exploiting the synergies among available data, information fusion can reduce data traffic, filter noisy measurements, and make predictions and inferences about a monitored entity. Networked Filtering and Fusion in Wireless Sensor Networks introduces the subject of multi-sensor fusion as the method of choice for implementing distributed systems.

The book examines the state of the art in information fusion. It presents the known methods, algorithms, architectures, and models of information fusion and discusses their applicability in the context of wireless sensor networks (WSNs). Paying particular attention to the wide range of topics that have been covered in recent literature, the text presents the results of a number of typical case studies.

Complete with research supported elements and comprehensive references, this teaching-oriented volume uses standard scientific terminology, conventions, and notations throughout. It applies recently developed convex optimization theory and highly efficient algorithms in estimation fusion to open up discussion and provide researchers with an ideal starting point for further research on distributed estimation and fusion for WSNs.

The book supplies a cohesive overview of the key results of theory and applications of information-fusion-related problems in networked systems in a unified framework. Providing advanced mathematical treatment of fundamental problems with information fusion, it will help you broaden your understanding of prospective applications and how to address such problems in practice.

After reading the book, you will gain the understanding required to model parts of dynamic systems and use those models to develop distributed fusion control algorithms that are based on feedback control theory.

Автор: Tine Lefebvre; Herman Bruyninckx; Joris de Schutte
Название: Nonlinear Kalman Filtering for Force-Controlled Robot Tasks
ISBN: 3642066291 ISBN-13(EAN): 9783642066290
Издательство: Springer
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Цена: 130590.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "Nonlinear Kalman Filtering for Force-Controlled Robot Tasks " discusses the latest developments in the areas of contact modeling, nonlinear parameter estimation and task plan optimization for improved estimation accuracy.