Recursive Filtering Networked Systems by Liu Shuai (9 results)

Condition: New.

Condition: New.

Condition: New.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: New. Shuai Liu received the B.Sc. degree in mathematics and applied mathematics from the Ludong University, Yantai, China, in 2011, the M.Sc. degree in mathematics and applied mathematics from the University of Shanghai for Science and Technology, Shan.

Hardcover. Condition: new. Hardcover. Recursive Filtering of Networked Systems with Communication Protocol Scheduling explores protocol-based state estimation for complex networked systems including Kalman filtering for nonlinear systems under Round-Robin (RR) and MEF-TOD protocols, finite-horizon robust state estimation under FlexRay protocol, robust filtering for multi-rate systems under RR and stochastic communication protocols, and state estimation under event-triggering protocol and redundant channel for neural networks. This book provides theoretical frameworks using techniques like backward Riccati equations, Kalman filtering theory, Unscented transform, and ellipsoid estimation theory.FeaturesFocuses on the intersection of recursive filtering techniques and communication protocol schedulingIntroduces communication protocols to allocate limited network resourcesEnhances the reliability and accuracy of information transmission and minimize the occurrence of information conflicts and congestion in the networkOffers practical strategies for real-world challenges in networked systemsExplains designing filtering unit for a class of complex networksThis book is aimed at graduate students and researchers in electrical engineering, power systems, control systems. This book provides theoretical frameworks using techniques like backward Riccati equations, Kalman filtering theory, Unscented transform, and ellipsoid estimation theory. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condition: new. Hardcover. Recursive Filtering of Networked Systems with Communication Protocol Scheduling explores protocol-based state estimation for complex networked systems including Kalman filtering for nonlinear systems under Round-Robin (RR) and MEF-TOD protocols, finite-horizon robust state estimation under FlexRay protocol, robust filtering for multi-rate systems under RR and stochastic communication protocols, and state estimation under event-triggering protocol and redundant channel for neural networks. This book provides theoretical frameworks using techniques like backward Riccati equations, Kalman filtering theory, Unscented transform, and ellipsoid estimation theory.FeaturesFocuses on the intersection of recursive filtering techniques and communication protocol schedulingIntroduces communication protocols to allocate limited network resourcesEnhances the reliability and accuracy of information transmission and minimize the occurrence of information conflicts and congestion in the networkOffers practical strategies for real-world challenges in networked systemsExplains designing filtering unit for a class of complex networksThis book is aimed at graduate students and researchers in electrical engineering, power systems, control systems. This book provides theoretical frameworks using techniques like backward Riccati equations, Kalman filtering theory, Unscented transform, and ellipsoid estimation theory. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Condition: new. Hardcover. Recursive Filtering of Networked Systems with Communication Protocol Scheduling explores protocol-based state estimation for complex networked systems including Kalman filtering for nonlinear systems under Round-Robin (RR) and MEF-TOD protocols, finite-horizon robust state estimation under FlexRay protocol, robust filtering for multi-rate systems under RR and stochastic communication protocols, and state estimation under event-triggering protocol and redundant channel for neural networks. This book provides theoretical frameworks using techniques like backward Riccati equations, Kalman filtering theory, Unscented transform, and ellipsoid estimation theory.FeaturesFocuses on the intersection of recursive filtering techniques and communication protocol schedulingIntroduces communication protocols to allocate limited network resourcesEnhances the reliability and accuracy of information transmission and minimize the occurrence of information conflicts and congestion in the networkOffers practical strategies for real-world challenges in networked systemsExplains designing filtering unit for a class of complex networksThis book is aimed at graduate students and researchers in electrical engineering, power systems, control systems. This book provides theoretical frameworks using techniques like backward Riccati equations, Kalman filtering theory, Unscented transform, and ellipsoid estimation theory. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…