Research
supervised learning methods, these aspects require an interdisciplinary research approach spanning optimization techniques, machine learning methodologies, and data-driven engineering sciences. Hybrid Modeling [...] Data-driven control strategies include reinforcement learning for decision-making or model predictive control (MPC), where predictions based on learned models guide actions in real time. This field has [...] robustness of learned models, and balancing interpretability with accuracy remain active areas of research. Ultimately, this field represents an exciting intersection of mathematics, machine learning, and engineering …