Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment
Book Details
Delivery Location
Delivery fee: Select location
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.
Get Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages.
