Fundamental Limitations in Filtering and Control, Maria M. Seron; Julio H. Braslavsky; Graham C. Goo

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: 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: Principe Jose C
Название: Kernel Adaptive Filtering
ISBN: 0470447532 ISBN-13(EAN): 9780470447536
Издательство: Wiley
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Цена: 111880.00 T
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Описание: * On-line learning is a fundamental tool in adaptive signalprocessing * Presents on-line learning from a signal processingperspective.

Автор: Diniz
Название: Adaptive Filtering
ISBN: 1461441056 ISBN-13(EAN): 9781461441052
Издательство: Springer
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Цена: 102480.00 T
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Описание: In its 4th edition, this book reviews basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner, covering the main classes of adaptive filtering algorithms and using clear notation to facilitate implementation.

Автор: Candy
Название: Bayesian Signal Processing: Classical, Modern and Particle Filtering Methods
ISBN: 0470180943 ISBN-13(EAN): 9780470180945
Издательство: Wiley
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Цена: 119330.00 T
Наличие на складе: Поставка под заказ.
Описание: This book presents a unique viewpoint of signal processing from the Bayesian perspective in contrast to the pure statistical approach found in many textbooks. It features the next generation of processors that have recently been enabled with the advent of high speed/high throughput computers. The emphasis is on nonlinear/non-Gaussian problems, but classical techniques are included as special cases to enable the reader familiar with such methods to draw a parallel between the approaches. The common ground is the model sets. This text brings the reader from the classical methods of model-based signal processing including Kalman filtering for linear, linearized and approximate nonlinear processors as well as the recently developed unscented or sigma-point filters to the next generation of processors that will clearly dominate the future of model-based signal processing for years to come. Current applications (e.g. structures, tracking, equalization, biomedical) and simple examples to motivate the organization of the text are discussed. Examples are given to motivate all of the models and prepare the reader for further developments in subsequent chapters. In each case the processor along with accompanying simulations are discussed and applied to various data sets demonstrating the applicability and power of the Bayesian approach. The proposed text will be linked to the MATLAB (signal processing standard software) software package providing Notes as well as simple coding examples for illustrative purposes.

Автор: Gerasimos G. Rigatos
Название: Nonlinear Control and Filtering Using Differential Flatness Approaches
ISBN: 3319164198 ISBN-13(EAN): 9783319164199
Издательство: Springer
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Цена: 191560.00 T
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Описание: and* communication systems.Differential Flatness Approaches to Nonlinear Control and Filtering will be a useful reference for academic researchers studying advanced problems in nonlinear control and nonlinear dynamics, and for engineers working on control applications in electromechanical systems.

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.