Stochastic Systems: The Mathematics of Filtering and Identification and Applications, Michiel Hazewinkel; J.C. Williams
Автор: Mohinder S. Grewal,Angus P. Andrews Название: Kalman Filtering: Theory and Practice with MATLAB ISBN: 1118851218 ISBN-13(EAN): 9781118851210 Издательство: Wiley Рейтинг: 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: Bhar Ramaprasad Название: Stochastic Filtering With Applications In Finance ISBN: 9814304859 ISBN-13(EAN): 9789814304856 Издательство: World Scientific Publishing Рейтинг: Цена: 121440.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Suitable for graduate level courses on stochastic modeling, this title does not intend to give a complete mathematical treatment of different stochastic filtering approaches, but rather to describe them in simple terms and illustrate their application with real historical data for problems normally encountered in these disciplines.
Автор: Cristian Lai; Alessandro Giuliani; Giovanni Semera Название: Distributed Systems and Applications of Information Filtering and Retrieval ISBN: 3642406203 ISBN-13(EAN): 9783642406201 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains papers from DART 2012, the 6th International Workshop on Information Filtering and Retrieval. Coverage includes multi-agent systems, natural language processing, automatic advertisement, customer interaction analytics, and opinion mining.
Автор: Cristian Lai; Alessandro Giuliani; Giovanni Semera Название: Distributed Systems and Applications of Information Filtering and Retrieval ISBN: 3662512475 ISBN-13(EAN): 9783662512470 Издательство: Springer Рейтинг: Цена: 104480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains papers from DART 2012, the 6th International Workshop on Information Filtering and Retrieval. Coverage includes multi-agent systems, natural language processing, automatic advertisement, customer interaction analytics, and opinion mining.
Автор: Pieter W. Otter Название: Dynamic Feature Space Modelling, Filtering and Self-Tuning Control of Stochastic Systems ISBN: 3540156542 ISBN-13(EAN): 9783540156543 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: By interrelating concepts and results from system theory with those from econometrics and social sciences, the author has attempted to narrow the gap between the more technical sciences such as engi- neering and social sciences and econometrics, and to contribute to either side.
Автор: Xiuming Yao; Ligang Wu; Wei Xing Zheng Название: Filtering and Control of Stochastic Jump Hybrid Systems ISBN: 3319319140 ISBN-13(EAN): 9783319319148 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Specifically, the considered stochastic jump hybrid systems include Markovian jump Ito stochastic systems, Markovian jump linear-parameter-varying (LPV) systems, Markovian jump singular systems, Markovian jump two-dimensional (2-D) systems, and Markovian jump repeated scalar nonlinear systems.
Автор: Peter A. Ruymgaart; Tsu T. Soong Название: Mathematics of Kalman-Bucy Filtering ISBN: 3540187812 ISBN-13(EAN): 9783540187813 Издательство: Springer Рейтинг: Цена: 74490.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: 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.
Автор: Mahmoud Название: Networked Filtering and Fusion in Wireless Sensor Networks ISBN: 1482250969 ISBN-13(EAN): 9781482250961 Издательство: Taylor&Francis Рейтинг: 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: G. Kallianpur Название: Stochastic Filtering Theory ISBN: 038790445X ISBN-13(EAN): 9780387904450 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Alan Bain; Dan Crisan Название: Fundamentals of Stochastic Filtering ISBN: 1441926429 ISBN-13(EAN): 9781441926425 Издательство: Springer Рейтинг: Цена: 88500.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides a rigorous mathematical treatment of the non-linear stochastic filtering problem using modern methods. While no prior knowledge of stochastic filtering is required, readers are assumed to be familiar with measure theory, probability theory and the basics of stochastic processes.
Автор: W. H. Fleming; L. G. Gorostiza Название: Advances in Filtering and Optimal Stochastic Control ISBN: 3662135310 ISBN-13(EAN): 9783662135310 Издательство: Springer Рейтинг: Цена: 113190.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
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