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 RR and MEF-TOD protocols, finite-horizon robust state estimation under FlexRay protocol, robust filtering for multi-rate systems under Round-Robin 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.

Features

1 Focuses on the intersection of recursive filtering techniques and communication protocol scheduling

2 Introduces communication protocols to allocate limited network resources

3 Enhances the reliability and accuracy of information transmission and minimize the occurrence of information conflicts and congestion in the network

4 Offers practical strategies for real-world challenges in networked systems

5 Explains designing filtering unit for a class of complex networks

This book is aimed at graduate students and researchers in electrical engineering, power systems, control systems.