Digital Filtering in One and Two Dimensions, M. Ahmadi; M. Azimi-Sadjadi; R. Gorgui-Naguib; R.

Автор: Diniz
Название: Adaptive Filtering
ISBN: 1461441056 ISBN-13(EAN): 9781461441052
Издательство: Springer
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Цена: 15372.00 р.
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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: 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.

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

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.

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.