A machine learning framework for improving refinery production planning von Santander, Omar, Kuppuraj, Vidyashankar, Harrison, Christopher A., Baldea, Michael

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Deep Learning Model Predictive Control Frameworks: Application to a Fluid Catalytic Cracker–Fractionator Process von Santander, Omar, Kuppuraj, Vidyashankar, Harrison, Christopher A., Baldea, Michael

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An open source fluid catalytic cracker - fractionator model to support the development and benchmarking of process control, machine learning and operation strategies von Santander, Omar, Kuppuraj, Vidyashankar, Harrison, Christopher A., Baldea, Michael

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Integrated deep learning-production planning-economic model predictive control framework for large-scale processes. A fluid catalytic cracker-fractionator case study von Santander, Omar, Kuppuraj, Vidyashankar, Harrison, Christopher A., Baldea, Michael

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A Bayesian approach to improving production planning von Santander, Omar, Kuppuraj, Vidyashankar, Harrison, Christopher A., Baldea, Michael

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Integrated Production Planning and Model Predictive Control of a Fluidized Bed Catalytic Cracking-Fractionator Unit von Santander, Omar, Kuppuraj, Vidyashankar, Harrison, Christopher A., Baldea, Michael

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Receding-Horizon Nonlinear Kalman (RNK) Filter for State Estimation von Rengaswamy, Raghunathan, Narasimhan, Shankar, Kuppuraj, Vidyashankar

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Evaluation of prediction error based fuzzy model clustering approaches for multiple model learning von Kuppuraj, Vidyashankar, Rengaswamy, Raghunathan

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Computationally Efficient Identification of Global ARX Parameters With Guaranteed Stability von Nallasivam, U, Srinivasan, B, Kuppuraj, V, Karim, M N, Rengaswamy, R

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