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Control and Filtering for Semi-Markovian Jump Systems


Control and Filtering for Semi-Markovian Jump Systems


Studies in Systems, Decision and Control, Band 81

von: Fanbiao Li, Peng Shi, Ligang Wu

96,29 €

Verlag: Springer
Format: PDF
Veröffentl.: 04.11.2016
ISBN/EAN: 9783319471990
Sprache: englisch

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

<p>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. <i>Control and Filtering for Semi-Markovian Jump Systems</i> 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.</p>
Introduction.-&nbsp;Stochastic Stability of Semi-Markovian Jump Systems.-&nbsp;Constrained Regulation of Singular Semi-Markovian&nbsp;Jump Systems.-&nbsp;State Estimation and Sliding Mode Control for&nbsp;Semi-Markovian Jump Systems.-&nbsp;Quantized Output Feedback Control of Nonlinear&nbsp;Semi-Markovian Jump Systems.-&nbsp;Passive Filtering for Delayed Neutral-Type Semi-Markovian Jump Systems.-&nbsp;Event-Triggered Fault Detection for Semi-Markovian&nbsp;Jump Systems.-&nbsp;Fuzzy Fault Detection Filtering for Semi-Markovian&nbsp;Jump Systems.-&nbsp;Fault Detection for Underactuated Manipulators&nbsp;Modeled by MJS.-&nbsp;Conclusion and Further Work.&nbsp;
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.&nbsp;<i>Control and Filtering for Semi-Markovian Jump Systems</i>&nbsp;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.
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 classes of semi-Markovian jump systems (S-MJS), as well as on the fault detection and filtering of S-MJS Provides valuable reference material for researchers who wish to explore the area of S-MJS Includes supplementary material: sn.pub/extras

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