7 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…
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…
Uncertainty Learning for LTI Systems with Stability Guarantees
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani +1
We present a framework for learning of modeling uncertainties in Linear Time Invariant (LTI) systems. We propose a methodology to extend the dynamics of an LTI (without uncertainty…
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…
Linear Fault Estimators for Nonlinear Systems: An Ultra-Local Model Design
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani +1
This paper addresses the problem of robust process and sensor fault reconstruction for nonlinear systems. The proposed method augments the system dynamics with an approximated inte…
Ultra Local Nonlinear Unknown Input Observers for Robust Fault Reconstruction
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani +1
In this paper, we present a methodology for actuator and sensor fault estimation in nonlinear systems. The method consists in augmenting the system dynamics with an approximated ul…