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Control and filtering for semi-marko...

Li, Fanbiao.

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Control and filtering for semi-markovian jump systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Control and filtering for semi-markovian jump systems/ by Fanbiao Li, Peng Shi, Ligang Wu.
作者:	Li, Fanbiao.
其他作者:	Shi, Peng.
出版者:	Cham :Springer International Publishing : : 2017.,
面頁冊數:	xviii, 199 p. :ill., digital ;24 cm.
內容註:	Introduction -- Stochastic Stability of Semi-Markovian Jump Systems -- Constrained Regulation of Singular Semi-Markovian Jump Systems -- State Estimation and Sliding Mode Control for Semi-Markovian Jump Systems -- Quantized Output Feedback Control of Nonlinear Semi-Markovian Jump Systems -- Passive Filtering for Delayed Neutral-Type Semi-Markovian Jump Systems -- Event-Triggered Fault Detection for Semi-Markovian Jump Systems -- Fuzzy Fault Detection Filtering for Semi-Markovian Jump Systems -- Fault Detection for Underactuated Manipulators Modeled by MJS -- Conclusion and Further Work.
Contained By:	Springer eBooks
標題:	Jump processes. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-47199-0
ISBN:	9783319471990

Control and filtering for semi-markovian jump systems
Li, Fanbiao.

Control and filtering for semi-markovian jump systems[electronic resource] /by Fanbiao Li, Peng Shi, Ligang Wu. - Cham :Springer International Publishing :2017. - xviii, 199 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.812198-4182 ;. - Studies in systems, decision and control ;v.81..

Introduction -- Stochastic Stability of Semi-Markovian Jump Systems -- Constrained Regulation of Singular Semi-Markovian Jump Systems -- State Estimation and Sliding Mode Control for Semi-Markovian Jump Systems -- Quantized Output Feedback Control of Nonlinear Semi-Markovian Jump Systems -- Passive Filtering for Delayed Neutral-Type Semi-Markovian Jump Systems -- Event-Triggered Fault Detection for Semi-Markovian Jump Systems -- Fuzzy Fault Detection Filtering for Semi-Markovian Jump Systems -- Fault Detection for Underactuated Manipulators Modeled by MJS -- Conclusion and Further Work.

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.

ISBN: 9783319471990

Standard No.: 10.1007/978-3-319-47199-0doiSubjects--Topical Terms:

751712
Jump processes.

LC Class. No.: QA274.755

Dewey Class. No.: 519.233

Control and filtering for semi-markovian jump systems
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505 0 $a Introduction -- Stochastic Stability of Semi-Markovian Jump Systems -- Constrained Regulation of Singular Semi-Markovian Jump Systems -- State Estimation and Sliding Mode Control for Semi-Markovian Jump Systems -- Quantized Output Feedback Control of Nonlinear Semi-Markovian Jump Systems -- Passive Filtering for Delayed Neutral-Type Semi-Markovian Jump Systems -- Event-Triggered Fault Detection for Semi-Markovian Jump Systems -- Fuzzy Fault Detection Filtering for Semi-Markovian Jump Systems -- Fault Detection for Underactuated Manipulators Modeled by MJS -- Conclusion and Further Work.
520 $a 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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