• Deep learning assisted physics-based modeling of aluminum extraction process 

      Robinson, Haakon; Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2023)
      Modeling complex physical processes such as the extraction of aluminum is mainly done using pure physics-based models derived from first principles. However, the accuracy of these models can often suffer due to a partial ...
    • Optimization of the model predictive control meta-parameters through reinforcement learning 

      Bøhn, Eivind Eigil; Gros, Sebastien Nicolas; Moe, Signe; Johansen, Tor Arne (Peer reviewed; Journal article, 2023)
      Model predictive control (MPC) is increasingly being considered for control of fast systems and embedded applications. However, MPC has some significant challenges for such systems, such as its high computational complexity. ...