1 citations · 1 across the 3 of their papers we have counts for
4 papers
Intrinsic Contraction Theory and Stabilization of Probability Measures on the Wasserstein Space
Min Kim, Joshua D. Ibrahim, Soon-Jo Chung
Deterministic flows can contract Wasserstein distances between probability laws without being contractive in point-state space. We develop a differential contraction theory for pus…
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…
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…
Robust Optimal Network Topology Switching for Zero Dynamics Attacks
Hiroyasu Tsukamoto, Joshua D. Ibrahim, Joudi Hajar +3
The intrinsic, sampling, and enforced zero dynamics attacks (ZDAs) are among the most detrimental stealthy attacks in robotics, aerospace, and cyber-physical systems. They exploit…