On Joint Reconstruction of State and Input-Output Injection Attacks for Nonlinear Systems

We address the problem of robust state reconstruction for discrete-time nonlinear systems when actuators and sensors are injected with (potentially unbounded) attack signals. Exploiting redundancy in using a bank unknown input observers (UIOs), we propose an observer-based estimator capable providing asymptotic estimates system signals under condition that numbers sufficiently small. Using proposed estimator, provide methods isolating compromised sensors. Numerical examples provided to demonstrate effectiveness our methods.