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Robust Kalman Filtering for Signals and Systems with Large Uncertainties, Ian R. Petersen; Andrey V. Savkin


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Автор: Ian R. Petersen; Andrey V. Savkin
Название:  Robust Kalman Filtering for Signals and Systems with Large Uncertainties
ISBN: 9781461272090
Издательство: Springer
Классификация:
ISBN-10: 1461272092
Обложка/Формат: Soft cover
Страницы: 207
Вес: 0.34 кг.
Дата издания: 06.11.2012
Серия: Control Engineering
Язык: English
Издание: Softcover reprint of
Иллюстрации: Biography
Размер: 158 x 234 x 11
Читательская аудитория: Professional & vocational
Основная тема: Signal, Image and Speech Processing
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Although the issue of robustness in filtering is not as critical as in feedback control (where there is always the issue of instability to worry about), research on robust filtering and state estimation has remained very active in recent years.


Robust Filtering for Uncertain Systems

Автор: Huijun Gao; Xianwei Li
Название: Robust Filtering for Uncertain Systems
ISBN: 3319059025 ISBN-13(EAN): 9783319059020
Издательство: Springer
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Цена: 19591.00 р.
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Kalman Filtering: Theory and Practice with MATLAB

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: 18050.00 р.
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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.

Numerical Approximation of the Magnetoquasistatic Model with Uncertainties

Автор: R?mer
Название: Numerical Approximation of the Magnetoquasistatic Model with Uncertainties
ISBN: 3319412930 ISBN-13(EAN): 9783319412931
Издательство: Springer
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Цена: 16979.00 р.
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Описание: This book presents a comprehensive mathematical approach for solving stochastic magnetic field problems. It discusses variability in material properties and geometry, with an emphasis on the preservation of structural physical and mathematical properties. It especially addresses uncertainties in the computer simulation of magnetic fields originating from the manufacturing process. Uncertainties are quantified by approximating a stochastic reformulation of the governing partial differential equation, demonstrating how statistics of physical quantities of interest, such as Fourier harmonics in accelerator magnets, can be used to achieve robust designs. The book covers a number of key methods and results such as: a stochastic model of the geometry and material properties of magnetic devices based on measurement data; a detailed description of numerical algorithms based on sensitivities or on a higher-order collocation; an analysis of convergence and efficiency; and the application of the developed model and algorithms to uncertainty quantification in the complex magnet systems used in particle accelerators.

Nonlinear Kalman Filtering for Force-Controlled Robot Tasks

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: 19589.00 р.
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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.

Robust Filtering and Fault Detection of Switched Delay Systems

Автор: Dong Wang; Peng Shi; Wei Wang
Название: Robust Filtering and Fault Detection of Switched Delay Systems
ISBN: 3642376843 ISBN-13(EAN): 9783642376849
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Switched delay systems appear in a wide field of applications including networked control systems, power systems, memristive systems.

Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems

Автор: Xiao-Heng Chang
Название: Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems
ISBN: 3642551068 ISBN-13(EAN): 9783642551062
Издательство: Springer
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Цена: 15372.00 р.
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Описание: "Robust Output Feedback H-infinity Control and Filtering for Uncertain Linear Systems" discusses new and meaningful findings on robust output feedback H-infinity control and filtering for uncertain linear systems, presenting a number of useful and less conservative design results based on the linear matrix inequality (LMI) technique.

Filtering and Control for Classes of Two-Dimensional Systems

Автор: Ligang Wu; Zidong Wang
Название: Filtering and Control for Classes of Two-Dimensional Systems
ISBN: 3319136976 ISBN-13(EAN): 9783319136974
Издательство: Springer
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Цена: 20896.00 р.
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Описание: Filtering and Control for Classes of Two-Dimensional Systems

Modeling, Design, and Simulation of Systems with Uncertainties

Автор: Andreas Rauh; Ekaterina Auer
Название: Modeling, Design, and Simulation of Systems with Uncertainties
ISBN: 3642268560 ISBN-13(EAN): 9783642268564
Издательство: Springer
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Цена: 26120.00 р.
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Описание: This three-fold contribution to the field covers both theory and current research in algorithmic approaches to uncertainty handling, real-life applications such as robotics and biomedical engineering, and fresh approaches to reliably implementing software.

Control and Filtering for Semi-Markovian Jump Systems

Автор: Fanbiao Li; Peng Shi; Ligang Wu
Название: Control and Filtering for Semi-Markovian Jump Systems
ISBN: 3319471988 ISBN-13(EAN): 9783319471983
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book presents up-to-date research developments and novel methodologies on semi-Markovian jump systems (S-MJS). 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. A set of newly developed techniques such as piecewise analysis method, positively invariant set approach, event-triggered method, and cone complementary linearization approaches are presented. Control and Filtering for Semi-Markovian Jump Systems is a comprehensive reference for researcher and practitioners working in control engineering, system sciences and applied mathematics, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing.

Time-Dependent Switched Discrete-Time Linear Systems: Control and Filtering

Автор: Lixian Zhang; Yanzheng Zhu; Peng Shi; Qiugang Lu
Название: Time-Dependent Switched Discrete-Time Linear Systems: Control and Filtering
ISBN: 3319288490 ISBN-13(EAN): 9783319288499
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book focuses on the basic control and filtering synthesis problems for discrete-time switched linear systems under time-dependent switching signals.

Filtering and Control of Stochastic Jump Hybrid Systems

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
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Цена: 18284.00 р.
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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.


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