Adaptive Learning-Based Resilient Automation for Switched Systems Under FDI Attacks and Actuator Faults
Automated systems operating across multiple modes increasingly rely on networked sensing and feedback, which makes them vulnerable to abrupt actuator faults and false-data-injection (FDI) attacks. This paper studies resilient estimation and control for continuous-time switched automation systems under these two coupled...