Control and filtering for semi-Markovian jump systems / Fanbiao Li, Peng Shi, Ligang Wu
By: Li, Fanbiao, autor
Contributor(s): Shi, Peng,, autor
| Wu, Ligang,, autor
Material type:
E-bookSeries: (Studies in systems, decision and control ; volume 81).Publisher: Cham, Switzerland : Springer, [2017]Copyright date: 2017Description: 1 recurso en línea (199 páginas) : ilustraciones.ISBN: 3319471996; 9783319471990.Subject: Markov, Procesos de
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA274.755 2017 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.20022458 |
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| QA274.7 B696 2014 EB An Introduction to Markov State Models and Their Application to Long Timescale Molecular Simulation | QA274.7 K634 2018 EB System Dependability Evaluation Including S-dependency and Uncertainty Model-Driven Dependability Analyses | QA274.755 2015 EB Analysis and Design of Singular Markovian Jump Systems | QA274.755 2017 EB Control and filtering for semi-Markovian jump systems | QA274.755 .A53 2016 EB Analysis and Design of Markov Jump Systems with Complex Transition Probabilities | QA274.755 .Y36 2016 EB Filtering and Control of Stochastic Jump Hybrid Systems | QA275 2018 EB Errors-in-Variables Methods in System Identification |
SpringerLink
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"--Provided by publisher.
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