Kalman Filtering and Information Fusion, Ma Hongbin, Yan Liping, Xia Yuanqing
Автор: Chui Charles K., Chen Guanrong Название: Kalman Filtering: With Real-Time Applications ISBN: 331983780X ISBN-13(EAN): 9783319837802 Издательство: Springer Рейтинг: Цена: 5542.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals.
Автор: Kazuhiko Ozeki Название: Theory of Affine Projection Algorithms for Adaptive Filtering ISBN: 4431563105 ISBN-13(EAN): 9784431563105 Издательство: Springer Рейтинг: Цена: 12537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on theoretical aspects of the affine projection algorithm (APA) for adaptive filtering.
Автор: M. Ahmadi; M. Azimi-Sadjadi; R. Gorgui-Naguib; R. Название: Digital Filtering in One and Two Dimensions ISBN: 1489909206 ISBN-13(EAN): 9781489909206 Издательство: Springer Рейтинг: Цена: 22797.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book has been conceived to extend the generally published work on one- and two-dimensional digital filters in order to include some of the more recently developed ideas.
Описание: This book presents the state-of-the-art in optimal filtering and control for polynomial and time-delay systems.
Автор: Huijun Gao; Xianwei Li Название: Robust Filtering for Uncertain Systems ISBN: 3319059025 ISBN-13(EAN): 9783319059020 Издательство: Springer Рейтинг: Цена: 17097.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the basic control and filtering synthesis problems for discrete-time switched linear systems under time-dependent switching signals.
Автор: Huijun Gao; Xianwei Li Название: Robust Filtering for Uncertain Systems ISBN: 3319356747 ISBN-13(EAN): 9783319356747 Издательство: Springer Рейтинг: Цена: 12537.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- Part I Quadratic and Parameter-Dependent Filter Design.- Quadratic Robust Filter Design.- Parameter-Dependent Robust Filter Design.- Part II Robust Filtering for Time-Delay Systems and 2-D Systems.- Robust Filtering for Continuous-Time Time-Delay Systems.- Robust Filtering for Discrete-Time Time-Delay Systems.- Robust Filtering for Uncertain 2-D Systems.- Part III New Problems in Robust Filtering.- Robust Estimation with Limited Communication Capacity.- Finite-Frequency H-infinity Filtering for Time-Delay Systems.- Conclusion.
Автор: Li Fanbiao, Shi Peng, Wu Ligang Название: Control and Filtering for Semi-Markovian Jump Systems ISBN: 3319836773 ISBN-13(EAN): 9783319836775 Издательство: Springer Рейтинг: Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It presents solutions to a series of problems with new approaches for the control and filtering of S-MJS, including stability analysis, sliding mode control, dynamic output feedback control, robust filter design, and fault detection.
Автор: Hongbin Ma; Liping Yan; Yuanqing Xia; Mengyin Fu Название: Kalman Filtering and Information Fusion ISBN: 9811508054 ISBN-13(EAN): 9789811508059 Издательство: Springer Рейтинг: Цена: 19514.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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.
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: 18050.00 р. 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: Charles K. Chui; Guanrong Chen Название: Kalman Filtering ISBN: 3642099661 ISBN-13(EAN): 9783642099663 Издательство: Springer Рейтинг: Цена: 7407.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method and an indirect method.
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 Рейтинг: Цена: 17096.00 р. 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.
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