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Control and Filtering for Semi-Markovian Jump Systems (Hardcover, 1st ed. 2017): Fanbiao Li, Peng Shi, Ligang Wu Control and Filtering for Semi-Markovian Jump Systems (Hardcover, 1st ed. 2017)
Fanbiao Li, Peng Shi, Ligang Wu
R3,522 Discovery Miles 35 220 Ships in 12 - 19 working days

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.

Control and Filtering for Semi-Markovian Jump Systems (Paperback, Softcover reprint of the original 1st ed. 2017): Fanbiao Li,... Control and Filtering for Semi-Markovian Jump Systems (Paperback, Softcover reprint of the original 1st ed. 2017)
Fanbiao Li, Peng Shi, Ligang Wu
R3,453 Discovery Miles 34 530 Ships in 10 - 15 working days

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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