Control and Filtering for Semi-Markovian Jump Systems
Li, Fanbiao.
Control and Filtering for Semi-Markovian Jump Systems [electronic resource] / - 1st ed. 2017. - XVIII, 199 p. 39 illus., 34 illus. in color. | Binding - Card Paper | - Studies in Systems, Decision and Control, 81 2198-4182 ; . - Studies in Systems, Decision and Control, 81 .
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.
9783319471990
EXTC Engineering
Control and Systems Theory. Systems Theory, Control.
629.8
Control and Filtering for Semi-Markovian Jump Systems [electronic resource] / - 1st ed. 2017. - XVIII, 199 p. 39 illus., 34 illus. in color. | Binding - Card Paper | - Studies in Systems, Decision and Control, 81 2198-4182 ; . - Studies in Systems, Decision and Control, 81 .
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.
9783319471990
EXTC Engineering
Control and Systems Theory. Systems Theory, Control.
629.8