Computationally Efficient Identification of Global ARX Parameters With Guaranteed Stability. - Ulaganathan Nallasivam; Babji Srinivasan; Vidyashankar Kuppuraj; M. Nazmul Karim; Raghunathan Rengaswamy (IEEE Trans. Autom. Control., 2011)

Receding-Horizon Nonlinear Kalman (RNK) Filter for State Estimation. - Raghunathan Rengaswamy; Shankar Narasimhan; Vidyashankar Kuppuraj (IEEE Trans. Autom. Control., 2013)

Deep learning economic model predictive control for refinery operation: A fluid catalytic cracker - fractionator case study. - Omar Santander; Vidyashankar Kuppuraj; Christopher A. Harrison; Michael Baldea (ICSTCC, 2022)

An open source fluid catalytic cracker - fractionator model to support the development and benchmarking of process control, machine learning and operation strategies. - Omar Santander; Vidyashankar Kuppuraj; Christopher A. Harrison; Michael Baldea (Comput. Chem. Eng., 2022)

Integrated deep learning-production planning-economic model predictive control framework for large-scale processes. A fluid catalytic cracker-fractionator case study. - Omar Santander; Vidyashankar Kuppuraj; Christopher A. Harrison; Michael Baldea (Comput. Chem. Eng., 2022)

A Bayesian approach to improving production planning. - Omar Santander; Vidyashankar Kuppuraj; Christopher A. Harrison; Michael Baldea (Comput. Chem. Eng., 2023)