Dinesh Krishnamoorthy
Orcid: 0000-0002-9947-8690Affiliations:
- Eindhoven University of Technology, Department of Mechanical Engineering, The Netherlands
- Harvard John A. Paulson School Of Engineering And Applied Sciences, Boston, MA, USA
- Statoil ASA Research and Development Center, Porsgrunn, Norway
- Norwegian University of Science and Technology, Trondheim, Norway (PhD 2019)
According to our database1,
Dinesh Krishnamoorthy authored at least 31 papers
between 2014 and 2026.
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Bibliography
2026
Learning myopic mixed-integer nonlinear model predictive control from expert demonstrations.
CoRR, May, 2026
2025
IEEE Trans. Control. Syst. Technol., March, 2025
A Scenario-based Model Predictive Control Scheme for Pandemic Response through Non-pharmaceutical Interventions.
Proceedings of the 2025 European Control Conference, 2025
MPC strategies for density profile control with pellet fueling in nuclear fusion tokamaks under uncertainty.
Proceedings of the 64th IEEE Conference on Decision and Control, 2025
Value Function Approximation for Nonlinear MPC: Learning a Terminal Cost Function with a Descent Property.
Proceedings of the 64th IEEE Conference on Decision and Control, 2025
2024
ECCBO: An Inherently Safe Bayesian Optimization with Embedded Constraint Control for Real-Time Optimization.
CoRR, 2024
CoRR, 2024
A Bayesian Optimization Framework for the Automatic Tuning of MPC-based Shared Controllers.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
Safe and Personalized Meal Bolus Calculator for Type-1 Diabetes Using Bayesian Optimization.
IEEE Trans. Biomed. Eng., May, 2023
IEEE Control. Syst. Lett., 2023
An Improved Data Augmentation Scheme for Model Predictive Control Policy Approximation.
IEEE Control. Syst. Lett., 2023
Multi-agent Black-box Optimization using a Bayesian Approach to Alternating Direction Method of Multipliers.
CoRR, 2023
ALADIN-Based Distributed Model Predictive Control with Dynamic Partitioning: An Application to Solar Parabolic Trough Plants.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
A Sensitivity-Based Data Augmentation Framework for Model Predictive Control Policy Approximation.
IEEE Trans. Autom. Control., 2022
Safe Bayesian Optimization Using Interior-Point Methods - Applied to Personalized Insulin Dose Guidance.
IEEE Control. Syst. Lett., 2022
Comput. Chem. Eng., 2022
A Sensitivity Assisted Alternating Directions Method of Multipliers for Distributed Optimization.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
On the Design and Analysis of Multivariable Extremum Seeking Control using Fast Fourier Transform.
CoRR, 2021
Proceedings of the 2021 American Control Conference, 2021
A Model-free Approach to Automatic Dose Guidance in Long Acting Insulin Treatment of Type 2 Diabetes.
Proceedings of the 2021 American Control Conference, 2021
2020
Sensitivity-based Data Augmentation for Learning an Approximate Model Predictive Controller.
CoRR, 2020
Comput. Chem. Eng., 2020
Real-time Optimal Resource Allocation in an Industrial Symbiotic Network using Transient Measurements.
Proceedings of the 2020 American Control Conference, 2020
2019
Multistage Model Predictive Control with Online Scenario Tree Update using Recursive Bayesian Weighting.
Proceedings of the 17th European Control Conference, 2019
2018
Improving Scenario Decomposition for Multistage MPC Using a Sensitivity-Based Path-Following Algorithm.
IEEE Control. Syst. Lett., 2018
Comput. Chem. Eng., 2018
Combined Nonlinear Moving Horizon Estimation and Model Predictive Control Applied to a Compressor for Active Surge Control.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018
Proceedings of the IEEE Conference on Control Technology and Applications, 2018
2014
Proceedings of the 2014 IEEE Conference on Control Applications, 2014