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

<p>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.</p><p>Features:</p><ul> <li>Includes concepts backgrounds and models on censored data filtering fusion and communication constraints.</li> <li>Reviews case studies to provide clear engineering insights into the developed fusion theories and techniques.</li> <li>Provides theoretic values and engineering insights of the censored data and constrained network.</li> <li>Discusses performance evaluation of the presented multi-sensor fusion algorithms.</li> <li>Explores promising research directions on future multi-sensor fusion.</li> </ul><p>This book is aimed at graduate students and researchers in networked control sensor networks and data fusion.</p>