2 papers
eess.SY2026
Perron-Frobenius Contractive Operator Matching for Data-Driven Reachable Fault Identification and Recovery
Joshua D. Ibrahim, Mahdi Taheri, Soon-Jo Chung +1
This paper focuses on data-driven fault detection, identification, and recovery (FDIR) for nonlinear control-affine systems under actuator faults. We create a unified framework in…
eess.SY2026
Data-Driven Probabilistic Fault Detection and Identification via Density Flow Matching
Joshua D. Ibrahim, Mahdi Taheri, Soon-Jo Chung +1
Fault detection and identification (FDI) is critical for maintaining the safety and reliability of systems subject to actuator and sensor faults. In this paper, the problem of FDI…