4 papers
Context-Enriched Performance Boosting via Operator Decomposition
Leonardo Massai, Sebastiano Messina, Nicolas Kirsch +1
Performance Boosting (PB) is a control framework that, for a pre-stabilized system subject to process disturbances, parametrizes the controllers that preserve closed…
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…
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…
Predicting Survey Response with Quotation-based Modeling: A Case Study on Favorability towards the United States
Alireza Amirshahi, Nicolas Kirsch, Jonathan Reymond +1
The acquisition of survey responses is a crucial component in conducting research aimed at comprehending public opinion. However, survey data collection can be arduous, time-consum…