Steady-state real-time optimization using transient measurements D Krishnamoorthy, B Foss, S Skogestad Computers & Chemical Engineering 115, 34-45, 2018 | 81 | 2018 |
Real-time optimization under uncertainty applied to a gas lifted well network D Krishnamoorthy, B Foss, S Skogestad Processes 4 (4), 52, 2016 | 70 | 2016 |
Modelling and model predictive control of oil wells with electric submersible pumps A Pavlov, D Krishnamoorthy, K Fjalestad, E Aske, M Fredriksen 2014 IEEE Conference on Control Applications (CCA), 586-592, 2014 | 56 | 2014 |
Modelling and robustness analysis of model predictive control for electrical submersible pump lifted heavy oil wells D Krishnamoorthy, EM Bergheim, A Pavlov, M Fredriksen, K Fjalestad IFAC-PapersOnLine 49 (7), 544-549, 2016 | 42 | 2016 |
Real-time optimization as a feedback control problem–a review D Krishnamoorthy, S Skogestad Computers & Chemical Engineering 161, 107723, 2022 | 41 | 2022 |
Optimal operation of oil and gas production using simple feedback control structures D Krishnamoorthy, K Fjalestad, S Skogestad Control Engineering Practice 91, 104107, 2019 | 35 | 2019 |
Model predictive control with adaptive strategy applied to an electric submersible pump in a subsea environment PA Delou, JPA de Azevedo, D Krishnamoorthy, MB de Souza Jr, ... IFAC-PapersOnLine 52 (1), 784-789, 2019 | 32 | 2019 |
On combining self-optimizing control and extremum-seeking control–applied to an ammonia reactor case study J Straus, D Krishnamoorthy, S Skogestad Journal of Process control 78, 78-87, 2019 | 31 | 2019 |
A distributed feedback-based online process optimization framework for optimal resource sharing D Krishnamoorthy Journal of Process Control 97, 72-83, 2021 | 27 | 2021 |
Feedback real-time optimization strategy using a novel steady-state gradient estimate and transient measurements D Krishnamoorthy, E Jahanshahi, S Skogestad Industrial & Engineering Chemistry Research 58 (1), 207-216, 2018 | 26 | 2018 |
Robust extremum seeking control with application to gas lifted oil wells D Krishnamoorthy, A Pavlov, Q Li IFAC-PapersOnLine 49 (13), 205-210, 2016 | 25 | 2016 |
Online process optimization with active constraint set changes using simple control structures D Krishnamoorthy, S Skogestad Industrial & Engineering Chemistry Research 58 (30), 13555-13567, 2019 | 24 | 2019 |
Improving scenario decomposition for multistage MPC using a sensitivity-based path-following algorithm D Krishnamoorthy, E Suwartadi, B Foss, S Skogestad, J Jäschke IEEE control systems letters 2 (4), 581-586, 2018 | 20 | 2018 |
A distributed algorithm for scenario-based model predictive control using primal decomposition D Krishnamoorthy, B Foss, S Skogestad IFAC-PapersOnLine 51 (18), 351-356, 2018 | 20 | 2018 |
Safe Bayesian optimization using interior-point methods—applied to personalized insulin dose guidance D Krishnamoorthy, FJ Doyle IEEE Control Systems Letters 6, 2834-2839, 2022 | 17 | 2022 |
A primal decomposition algorithm for distributed multistage scenario model predictive control D Krishnamoorthy, B Foss, S Skogestad Journal of Process Control 81, 162-171, 2019 | 17 | 2019 |
Systematic design of active constraint switching using selectors D Krishnamoorthy, S Skogestad Computers & chemical engineering 143, 107106, 2020 | 16 | 2020 |
Data-driven scenario selection for multistage robust model predictive control D Krishnamoorthy, M Thombre, S Skogestad, J Jäschke IFAC-PapersOnLine 51 (20), 462-468, 2018 | 16 | 2018 |
Plantwide control of an oil production network E Jahanshahi, D Krishnamoorthy, A Codas, B Foss, S Skogestad Computers & Chemical Engineering 136, 106765, 2020 | 15 | 2020 |
Gas lift optimization under uncertainty D Krishnamoorthy, B Foss, S Skogestad Computer Aided Chemical Engineering 40, 1753-1758, 2017 | 15 | 2017 |