2 papers
eess.SY2026
Boosting the transient performance of reference tracking controllers with neural networks
Nicolas Kirsch, Leonardo Massai, Giancarlo Ferrari-Trecate
Reference tracking is a key objective in many control systems, including those characterized by complex nonlinear dynamics. In these settings, traditional control approaches can ef…
eess.SY2025
Resilient AFE Drive Control using Neural Networks with Tracking Guarantees
Nicolas Kirsch, Catalin Arghir, Silvia Mastellone +1
Industrial installations across several sectors have seen a dramatic increase in productivity, accuracy and efficiency over the last decade due to expanded utilization of medium vo…