Control and Filtering for Semi-Markovian Jump Systems
Language: English
Published by Springer, 2016
Series: Book 81 of 378 - Studies in Systems, Decision and Control
- Hardcover
- Used
Condition: Used - Fine
US$ 95.82
Quantity: 1 available
Add to basketItem description from seller
Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.…
Seller Inventory # 27144138/12
- Title
- Control and Filtering for Semi-Markovian Jump Systems
- Author
- Li, Fanbiao
- Publisher
- Springer
- Publication year
- 2016
- Condition
- Sehr gut
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3319471988
- ISBN 13
- 9783319471983
- Series
- Book 81 of 378: Studies in Systems, Decision and Control
- Seller catalogs
- Bücher
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.
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