• Markov Chain Monte Carlo Methods Applied to a Synchronous Generator Model 

      Jayamanne, Kushila Rasanduni; Ban, Zhe; Pandey, Madhusudhan; Ghaderi, Ali; Lie, Bernt (Peer reviewed; Journal article, 2023)
      Markov Chain Monte Carlo (MCMC) approaches are widely used for tuning model parameters to fit process measurements. While modern probabilistic programming languages (PPLs) such as Stan, PyMC, and Turing have made it easier ...
    • Optimal Operation of Processes Under Uncertainty Using Robust Model Predictive Control 

      Jayamanne, Kushila Rasanduni (Master thesis, 2021)
      Model Predictive Control (MPC) is a well-established technology for advanced control of many industrial processes. One of its main benefits is the ability to handle process constraints. However, accuracy of the process ...