· A framework for  detection, isolation and diagnosis of actuator and sensor faults for nonlinear systems;

· Controller reconfiguration and safe-parking-based fault-handling methodologies;

· Integrated-data- and model-based fault-detection and isolation and fault-tolerant control methods;

· Methods for handling sensor faults and data losses; and

· Methods for monitoring the performance of low-level PID loops.

The methodologies proposed employ nonlinear systems analysis, Lyapunov techniques, optimization, statistical methods and hybrid systems theory and are predicated upon the idea of integrating fault-detection, local feedback control, and supervisory control. The applicability and performance of the methods are demonstrated through a number of chemical process examples. Fault-Tolerant Process Control is a valuable resource for academic researchers, industrial practitioners as well as graduate students pursuing research in this area.