Speaker
Petr Stluka
(Siemens)
Description
For decades, industrial automation has leveraged core control theory applications—such as PID control, Kalman filters, and Model Predictive Control—to significantly boost the efficiency and safety of industrial operations. On the other hand, the successful integration of Machine Learning in this domain was relatively limited until its dramatic expansion over the past decade, culminating in the recent Generative AI revolution. This presentation will explore the synergistic and occasionally antagonistic interplay between control theory and machine learning, with a specific focus on intelligent building applications. The talk will present the historical context and discuss future challenges in this evolving landscape.
