Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network EnvironmentEdition 1

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.