Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment
Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment
by Hang Geng
English | 2024 | ISBN: 1032555505 | 263 pages | True PDF | 20.78 MB
by Hang Geng
English | 2024 | ISBN: 1032555505 | 263 pages | True PDF | 20.78 MB
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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