Fault Estimation for Nonlinear Systems with Time Delay Based on Iterative Learning Scheme

In this paper, the problem of fault estimation for a class of nonlinear systems with time delay is studied. First, an iterative learning observer and an exponential function-based fault estimation law are designed to improve the accuracy of fault estimation results. Then, we use the λ-norm method to derive the convergence conditions for the proposed fault estimator and provide the corresponding proof of convergence. Finally, the simulation results are presented to demonstrate the effectiveness of the proposed fault estimation method, which shows that it can accurately reconstruct the fault signal.