Intelligent Health Monitoring of Critical Infrastructure Systems

Modern societies have reached a point where everyday life relies heavily on the reliable operation and intelligent management of critical infrastructures, such as electric power systems, telecommunication networks, water distribution networks, and transportation systems. Monitoring and controlling such systems is becoming increasingly more challenging as their size, complexity and interactions are steadily growing. Moreover, these critical infrastructures are susceptible to natural disasters, frequent failures, as well as malicious attacks. There is a need to develop a common system-theoretic framework for modeling the behavior of critical infrastructure systems and for designing algorithms and architectures for intelligent monitoring, control and security of such systems. The goal of this keynote plenary presentation is to motivate the key role of fault diagnostics and fault tolerant control methodologies in securing the reliable operation of critical infrastructure systems, and to provide an adaptive system-theoretic framework for achieving early detection, isolation and accommodation of faults in large-scale nonlinear dynamic systems. Various ideas based on distributed fault diagnostics and adaptive approximation techniques with learning algorithms will be presented, and directions for future research will be discussed. This paper provides a brief outline of the keynote plenary presentation.