Distributed H-infinity filtering over sensor networks

"This dissertation takes a filtering oriented point of view and systematically addresses modeling, filtering performance analysis, and filter design issues over sensor networks with network induced constraints. The overall aim of this dissertation is to expand knowledge about theory and applications of sensor networks. More specifically, rigorous and systematic theoretical frameworks of distributed H1 filtering for estimating an unavailable state signal through noisy measurement and a disturbed plant over sensor networks are established. Furthermore, new filtering concepts, filtering theory, filter design methods, and filtering algorithms are proposed to deal with various network-induced constraints."