State-Space Based Analytical Modelling for Real-Time Fault Recovery and Self-Repair with Applications to Biosensors

Abstract

Recovery from fault (or malfunction) and maintaining constant performance in the presence of unusual events is a major concern in a wide range of applications. Therefore, there is a need for hardware that is capable of changing (or adjusting) its behaviour dynamically and autonomously. In this paper, a state-space analytical model for the real-time detection of unusual events and repair is proposed