5 papers
Data-Driven Sensor Fault Diagnosis with Proven Guarantees using Incrementally Stable Recurrent Neural Networks
Farhad Ghanipoor, Carlos Murguia, Giancarlo Ferrari Trecate +1
Robust Recurrent Neural Networks (R-RENs) are a class of neural networks that have built-in system-theoretic robustness and incremental stability properties. In this manuscript, we…
Hybrid Model-Data Fault Diagnosis for Wafer Handler Robots: Tilt and Broken Belt Cases
Tim van Esch, Farhad Ghanipoor, Carlos Murguia +1
This work proposes a hybrid model- and data-based scheme for fault detection, isolation, and estimation (FDIE) for a class of wafer handler (WH) robots. The proposed hybrid scheme…
Fault Isolation for the Ink Deposition Process in High-End Industrial Printers
Casper van Peijpe, Farhad Ghanipoor, Youri de Loore +3
This paper presents a mathematical framework for modeling the dynamic effects of three fault categories and six fault variants in the ink channels of high-end industrial printers.…
Model Updating for Nonlinear Systems with Stability Guarantees
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani +1
To improve the predictive capacity of system models in the input-output sense, this paper presents a framework for model updating via learning of modeling uncertainties in locally…
Robust Fault Estimators for Nonlinear Systems: An Ultra-Local Model Design
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani +1
This paper proposes a nonlinear estimator for the robust reconstruction of process and sensor faults for a class of uncertain nonlinear systems. The proposed fault estimation metho…