Robust Filtering for Uncertain Systems, Huijun Gao; Xianwei Li

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: 102480.00 T
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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.

Автор: Ian R. Petersen; Andrey V. Savkin
Название: Robust Kalman Filtering for Signals and Systems with Large Uncertainties
ISBN: 1461272092 ISBN-13(EAN): 9781461272090
Издательство: Springer
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Цена: 87070.00 T
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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.

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: 104480.00 T
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Описание: Switched delay systems appear in a wide field of applications including networked control systems, power systems, memristive systems.

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
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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: 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: 121110.00 T
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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: 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: 139310.00 T
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Описание: Filtering and Control for Classes of Two-Dimensional Systems

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: 121890.00 T
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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.

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: 121890.00 T
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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.