Hang G Multi-Sensor Filtering Fusion with Censored Data Network Environm 2025

Hang G Multi-Sensor Filtering Fusion with Censored Data Network Environm 2025 | 20.78 MB
263 Pages

Title: Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment
Author: Hang Geng

Description:
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.

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