Resilient Linear Filtering

Abstract

An integral part of deterministic and stochastic dynamical models describing physical and man-made systems can be conveniently cast into the framework of time-delay systems TDs, that is a wide class of retarded or neutral differential equations containing state and/or input delays [81, 93]. It becomes increasingly apparent that delays occur due to various reasons including finite capabilities of information processing among different parts of the system, inherent phenomena like mass transport flow and recycling and/or by product of computational delays [81]. Considerable discussions on delays and their stabilization/ destabilization effects in control systems have commanded the interests of numerous investigators in recent years, see [22, 52, 78, 79, 86, 87, 89, 90, 95] and the references cited therein.