Modelling and model predictive control of oil wells with Electric Submersible Pumps. - Alexey Pavlov 001; Krishnamoorthy Dinesh 002; Kjetil Fjalestad; Elvira Aske; Morten Fredriksen (CCA, 2014)

A Distributed Optimization Strategy for Large Scale Oil and Gas Production Systems. - Krishnamoorthy Dinesh 002; Marco Aurélio Aguiar; Bjarne Foss; Sigurd Skogestad (CCTA, 2018)

Combined Nonlinear Moving Horizon Estimation and Model Predictive Control Applied to a Compressor for Active Surge Control. - Christoph Josef Backi; Krishnamoorthy Dinesh 002; Adriaen Verheyleweghen; Sigurd Skogestad (CCTA, 2018)

Steady-state real-time optimization using transient measurements. - Krishnamoorthy Dinesh 002; Bjarne Foss; Sigurd Skogestad (Comput. Chem. Eng., 2018)

Improving Scenario Decomposition for Multistage MPC Using a Sensitivity-Based Path-Following Algorithm. - Krishnamoorthy Dinesh 002; Eka Suwartadi; Bjarne Foss; Sigurd Skogestad; Johannes Jäschke (IEEE Control. Syst. Lett., 2018)

Multistage Model Predictive Control with Online Scenario Tree Update using Recursive Bayesian Weighting. - Krishnamoorthy Dinesh 002; Sigurd Skogestad; Johannes Jäschke (ECC, 2019)

Real-time Optimal Resource Allocation in an Industrial Symbiotic Network using Transient Measurements. - Krishnamoorthy Dinesh 002; Carlo Valli; Sigurd Skogestad (ACC, 2020)

Systematic design of active constraint switching using selectors. - Krishnamoorthy Dinesh 002; Sigurd Skogestad (Comput. Chem. Eng., 2020)

Plantwide control of an oil production network. - Esmaeil Jahanshahi; Krishnamoorthy Dinesh 002; Andrés Codas; Bjarne Foss; Sigurd Skogestad (Comput. Chem. Eng., 2020)

Sensitivity-based Data Augmentation for Learning an Approximate Model Predictive Controller. - Krishnamoorthy Dinesh 002 (CoRR, 2020)

Adaptive Horizon Multistage Nonlinear Model Predictive Control. - Zawadi Mdoe; Dinesh Krishnamoorthy 002; Johannes Jäschke (ACC, 2021)

On the Design and Analysis of Multivariable Extremum Seeking Control using Fast Fourier Transform. - Dinesh Krishnamoorthy 002 (CoRR, 2021)

A Model-Free Approach to Automatic Dose Guidance in Long Acting Insulin Treatment of Type 2 Diabetes. - Dinesh Krishnamoorthy 002; Dimitri Boiroux; Tinna Björk Aradóttir; Sarah Ellinor Engell; John Bagterp Jørgensen (IEEE Control. Syst. Lett., 2021)

A Sensitivity Assisted Alternating Directions Method of Multipliers for Distributed Optimization. - Dinesh Krishnamoorthy 002; Vyacheslav Kungurtsev (CDC, 2022)

Real-Time optimization as a feedback control problem - A review. - Dinesh Krishnamoorthy 002; Sigurd Skogestad (Comput. Chem. Eng., 2022)

Safe Bayesian Optimization Using Interior-Point Methods - Applied to Personalized Insulin Dose Guidance. - Dinesh Krishnamoorthy 002; Francis J. Doyle (IEEE Control. Syst. Lett., 2022)

A Sensitivity-Based Data Augmentation Framework for Model Predictive Control Policy Approximation. - Dinesh Krishnamoorthy 002 (IEEE Trans. Autom. Control., 2022)

ALADIN-Based Distributed Model Predictive Control with Dynamic Partitioning: An Application to Solar Parabolic Trough Plants. - Paula Chanfreut; José M. Maestre 001; Dinesh Krishnamoorthy 002; Eduardo F. Camacho (CDC, 2023)

Multi-agent Black-box Optimization using a Bayesian Approach to Alternating Direction Method of Multipliers. - Dinesh Krishnamoorthy 002; Joel A. Paulson (CoRR, 2023)

Stability Properties of the Adaptive Horizon Multi-Stage MPC. - Zawadi Mdoe; Dinesh Krishnamoorthy 002; Johannes Jäschke (CoRR, 2023)

An Improved Data Augmentation Scheme for Model Predictive Control Policy Approximation. - Dinesh Krishnamoorthy 002 (IEEE Control. Syst. Lett., 2023)

Mixed-Integer MPC Strategies for Fueling and Density Control in Fusion Tokamaks. - Christopher A. Orrico; Matthijs van Berkel; Thomas O. S. J. Bosman; W. P. M. H. Heemels; Dinesh Krishnamoorthy 002 (IEEE Control. Syst. Lett., 2023)

Safe and Personalized Meal Bolus Calculator for Type-1 Diabetes Using Bayesian Optimization. - Dinesh Krishnamoorthy 002; Francis J. Doyle III (IEEE Trans. Biomed. Eng., 2023)

A Bayesian Optimization Framework for the Automatic Tuning of MPC-based Shared Controllers. - Anne van der Horst; Bas Meere; Dinesh Krishnamoorthy 002; Saray Bakker; Bram van de Vrande; Henry Stoutjesdijk; Marco Alonso; Elena Torta (ICRA, 2024)

On Building Myopic MPC Policies using Supervised Learning. - Christopher A. Orrico; Bokan Yang; Dinesh Krishnamoorthy 002 (CoRR, 2024)

Learning the cost-to-go for mixed-integer nonlinear model predictive control. - Christopher A. Orrico; W. P. M. H. Heemels; Dinesh Krishnamoorthy 002 (CoRR, 2024)

ECCBO: An Inherently Safe Bayesian Optimization with Embedded Constraint Control for Real-Time Optimization. - Dinesh Krishnamoorthy 002 (CoRR, 2024)

A Comparative Study of Distributed Feedback-Optimizing Control Architectures. - Risvan Dirza; Hari Prasad Varadarajan; Vegard Aas; Sigurd Skogestad; Dinesh Krishnamoorthy 002 (IEEE Trans. Control. Syst. Technol., 2025)

A Scenario-based Model Predictive Control Scheme for Pandemic Response through Non-pharmaceutical Interventions. - Domagoj Herceg; Marco DellOro; Riccardo Bertollo; Fuminari Miura; Paul de Klaver; Valentina Breschi; Dinesh Krishnamoorthy 002; Mauro Salazar (CoRR, 2025)