Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment

Hang Geng, Zidong Wang, Yuhua Cheng

• Publisher: CRC Press
• Year: 2024
• Print ISBN: 9781032555508
• eBook ISBN: 9781040106099
• Topic: Technology & Engineering
• Subtopic: Electrical Engineering & Telecommunications
• Index: Technology & Engineering

This book presents the up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized and distributed MSFF design methodologies. The work provides a framework of optimal centralized/distributed filter design and stability and performance analysis for the considered systems along with designed filters. Simulations presented in this book are implemented using MATLAB.

Features:

• Includes concepts, backgrounds and models on censored data, filtering fusion and communication constraints.
• Reviews case studies to provide clear engineering insights into the developed fusion theories and techniques.
• Provides theoretic values and engineering insights of the censored data and constrained network.
• Discusses performance evaluation of the presented multi-sensor fusion algorithms.
• Explores promising research directions on future multi-sensor fusion.

This book is aimed at graduate students and researchers in networked control, sensor networks, and data fusion.

Table of contents

• Cover
• Half Title
• Title
• Copyright
• Dedication
• Contents
• List of Figures
• List of Tables
• List of Symbols
• Preface
• Acknowledgement
• Foreword
• List of Contributors
• 1 Introduction
• 2 Optimal Filtering for Networked Systems with Channel Fading and Measurement Censoring
• 3 Tobit Kalman Filter with Time-Correlated Multiplicative Sensor Noises under Redundant Channel Transmission
• 4 State Estimation under Non-Gaussian Lévy and Time-Correlated Additive Sensor Noises: A Modified Tobit Kalman Filtering Approach
• 5 Protocol-Based Filter Design under Integral Measurements and Probabilistic Sensor Failures: The Censored Data Case
• 6 Distributed Optimal Filtering Fusion over a Packet-Delaying Network Subject to Censored Data: A Probabilistic Perspective
• 7 Federated Tobit Kalman Filtering Fusion with Dead-Zone-Like Censoring and Dynamical Bias under the Round-Robin Protocol
• 8 Multi-Sensor Filtering Fusion with Parametric Uncertainties and Measurement Censoring: Monotonicity and Boundedness
• 9 Protocol-Based Fusion Estimator Design for State-Saturated Systems with Dead-Zone-Like Censoring under Deception Attacks
• 10 Variance-Constrained Filtering Fusion for Nonlinear Cyber-Physical Systems with the Denial-of-Service Attacks and Stochastic Communication Protocol
• 11 Conclusions and Future Topics
• Bibliography
• Index