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Titlebook: Control and Filtering for Semi-Markovian Jump Systems; Fanbiao Li,Peng Shi,Ligang Wu Book 2017 Springer International Publishing AG 2017 S

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書(shū)目名稱Control and Filtering for Semi-Markovian Jump Systems
編輯Fanbiao Li,Peng Shi,Ligang Wu
視頻videohttp://file.papertrans.cn/238/237320/237320.mp4
概述Introduces the research background and significance as well as recent research in Markovian jump systems and semi-Markovian jump systems.Focuses on the stability analysis and control design for some c
叢書(shū)名稱Studies in Systems, Decision and Control
圖書(shū)封面Titlebook: Control and Filtering for Semi-Markovian Jump Systems;  Fanbiao Li,Peng Shi,Ligang Wu Book 2017 Springer International Publishing AG 2017 S
描述.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..
出版日期Book 2017
關(guān)鍵詞Semi-Markovian Jump Systems; Stability Analysis; Estimation and Filtering; Fault Detection; Control and
版次1
doihttps://doi.org/10.1007/978-3-319-47199-0
isbn_softcover978-3-319-83677-5
isbn_ebook978-3-319-47199-0Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightSpringer International Publishing AG 2017
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2198-4182 aders will benefit from some new concepts, new models and new methodologies with practical significance in control engineering and signal processing..978-3-319-83677-5978-3-319-47199-0Series ISSN 2198-4182 Series E-ISSN 2198-4190
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Fuzzy Fault Detection Filtering for Semi-Markovian Jump Systemson of a fault detection filter such that the estimation error converges to zero in the mean square and meets a prescribed system performance. The designed fuzzy model-based fault detection filter can guarantee the sensitivity of the residual signal to faults and the robustness of the external distur
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