Robust fault detection using iterative learning observer for nonlinear systems

A robust fault detection scheme for a class of nonlinear systems with modeling uncertainty and inaccessible states was presented. Only the inputs and outputs of the system can be measured. A nonlinear iterative learning observer was utilized to produce the residual that was robust to uncertainty. The stability of the fault detection scheme under certain assumptions was analyzed. An example demonstrates the efficiency of the proposed fault detection strategy.