Control and Filtering for Semi-Markovian Jump Systems
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 co...
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Main Authors | , , |
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Format | eBook |
Language | English |
Published |
Cham
Springer International Publishing AG
2016
Springer International Publishing |
Edition | 1 |
Series | Studies in Systems, Decision and Control |
Subjects | |
Online Access | Get full text |
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Summary: | 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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ISBN: | 9783319471983 3319471988 |
ISSN: | 2198-4182 2198-4190 |
DOI: | 10.1007/978-3-319-47199-0 |