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ORCIDDinesh Krishnamoorthy 0002
Person information
- affiliation: Eindhoven University of Technology, Department of Mechanical Engineering, The Netherlands
- affiliation: Harvard John A. Paulson School Of Engineering And Applied Sciences, Boston, MA, USA
- affiliation: Statoil ASA Research and Development Center, Porsgrunn, Norway
- affiliation (PhD 2019): Norwegian University of Science and Technology, Trondheim, Norway
Other persons with the same name
- Krishnamoorthy Dinesh 0001
![[0000-0002-1777-7305]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1777-7305")
— Indian Institute of Technology Palakkad, India (and 2 more)
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2020 – today
- 2024
[c10]Anne van der Horst, Bas Meere, Dinesh Krishnamoorthy, Saray Bakker, Bram van de Vrande, Henry Stoutjesdijk, Marco Alonso, Elena Torta:
A Bayesian Optimization Framework for the Automatic Tuning of MPC-based Shared Controllers. ICRA 2024: 11259-11265- [i13]Christopher A. Orrico, Bokan Yang, Dinesh Krishnamoorthy:
On Building Myopic MPC Policies using Supervised Learning. CoRR abs/2401.12546 (2024) - [i12]Christopher A. Orrico, W. P. M. H. Heemels, Dinesh Krishnamoorthy:
Learning the cost-to-go for mixed-integer nonlinear model predictive control. CoRR abs/2401.12562 (2024) - [i11]Dinesh Krishnamoorthy:
ECCBO: An Inherently Safe Bayesian Optimization with Embedded Constraint Control for Real-Time Optimization. CoRR abs/2402.18415 (2024) - [i10]Risvan Dirza, Hari Prasad Varadarajan, Vegard Aas, Sigurd Skogestad, Dinesh Krishnamoorthy:
A Comparative Study of Distributed Feedback Optimizing Control Architectures. CoRR abs/2411.04676 (2024) - 2023
- [j11]Dinesh Krishnamoorthy:
An Improved Data Augmentation Scheme for Model Predictive Control Policy Approximation. IEEE Control. Syst. Lett. 7: 1867-1872 (2023) - [j10]Christopher A. Orrico, Matthijs van Berkel, Thomas O. S. J. Bosman, W. P. M. H. Heemels, Dinesh Krishnamoorthy:
Mixed-Integer MPC Strategies for Fueling and Density Control in Fusion Tokamaks. IEEE Control. Syst. Lett. 7: 1897-1902 (2023) - [j9]Dinesh Krishnamoorthy, Francis J. Doyle III:
Safe and Personalized Meal Bolus Calculator for Type-1 Diabetes Using Bayesian Optimization. IEEE Trans. Biomed. Eng. 70(5): 1481-1492 (2023) - [c9]Paula Chanfreut, José M. Maestre, Dinesh Krishnamoorthy, Eduardo F. Camacho:
ALADIN-Based Distributed Model Predictive Control with Dynamic Partitioning: An Application to Solar Parabolic Trough Plants. CDC 2023: 8376-8381 - [i9]Dinesh Krishnamoorthy:
An Improved Data Augmentation Scheme for Model Predictive Control Policy Approximation. CoRR abs/2303.05607 (2023) - [i8]Dinesh Krishnamoorthy, Joel A. Paulson:
Multi-agent Black-box Optimization using a Bayesian Approach to Alternating Direction Method of Multipliers. CoRR abs/2303.14414 (2023) - [i7]Paula Chanfreut, José María Maestre, Dinesh Krishnamoorthy, Eduardo F. Camacho:
ALADIN-based Distributed Model Predictive Control with dynamic partitioning: An application to Solar Parabolic Trough Plants. CoRR abs/2305.02821 (2023) - [i6]Zawadi Mdoe, Dinesh Krishnamoorthy, Johannes Jäschke:
Stability Properties of the Adaptive Horizon Multi-Stage MPC. CoRR abs/2305.19448 (2023) - [i5]Christopher A. Orrico, Matthijs van Berkel, Thomas O. S. J. Bosman, W. P. M. H. Heemels, Dinesh Krishnamoorthy:
Mixed-Integer MPC Strategies for Fueling and Density Control in Fusion Tokamaks. CoRR abs/2306.00415 (2023) - [i4]Anne van der Horst, Bas Meere, Dinesh Krishnamoorthy, Saray Bakker, Bram van de Vrande, Henry Stoutjesdijk, Marco Alonso, Elena Torta:
A Bayesian optimization framework for the automatic tuning of MPC-based shared controllers. CoRR abs/2311.01133 (2023) - 2022
- [j8]Dinesh Krishnamoorthy, Sigurd Skogestad:
Real-Time optimization as a feedback control problem - A review. Comput. Chem. Eng. 161: 107723 (2022) - [j7]Dinesh Krishnamoorthy, Francis J. Doyle:
Safe Bayesian Optimization Using Interior-Point Methods - Applied to Personalized Insulin Dose Guidance. IEEE Control. Syst. Lett. 6: 2834-2839 (2022) - [j6]Dinesh Krishnamoorthy:
A Sensitivity-Based Data Augmentation Framework for Model Predictive Control Policy Approximation. IEEE Trans. Autom. Control. 67(11): 6090-6097 (2022) - [c8]Dinesh Krishnamoorthy, Vyacheslav Kungurtsev:
A Sensitivity Assisted Alternating Directions Method of Multipliers for Distributed Optimization. CDC 2022: 295-300 - [i3]Dinesh Krishnamoorthy, Francis J. Doyle III:
Safe Bayesian Optimization using Interior-Point Methods - Applied to Personalized Insulin Dose Guidance. CoRR abs/2205.02327 (2022) - 2021
- [j5]Dinesh Krishnamoorthy, Dimitri Boiroux, Tinna Björk Aradóttir, Sarah Ellinor Engell, John Bagterp Jørgensen:
A Model-Free Approach to Automatic Dose Guidance in Long Acting Insulin Treatment of Type 2 Diabetes. IEEE Control. Syst. Lett. 5(6): 2030-2035 (2021) - [c7]Dinesh Krishnamoorthy, Dimitri Boiroux, Tinna Björk Aradóttir, Sarah Ellinor Engell, John Bagterp Jørgensen:
A Model-free Approach to Automatic Dose Guidance in Long Acting Insulin Treatment of Type 2 Diabetes. ACC 2021: 1923-1928 - [c6]Zawadi Mdoe, Dinesh Krishnamoorthy, Johannes Jäschke:
Adaptive Horizon Multistage Nonlinear Model Predictive Control. ACC 2021: 2088-2093 - [i2]Dinesh Krishnamoorthy:
On the Design and Analysis of Multivariable Extremum Seeking Control using Fast Fourier Transform. CoRR abs/2104.14365 (2021) - 2020
- [j4]Esmaeil Jahanshahi, Krishnamoorthy Dinesh, Andrés Codas, Bjarne Foss, Sigurd Skogestad:
Plantwide control of an oil production network. Comput. Chem. Eng. 136: 106765 (2020) - [j3]Krishnamoorthy Dinesh, Sigurd Skogestad:
Systematic design of active constraint switching using selectors. Comput. Chem. Eng. 143: 107106 (2020) - [c5]Krishnamoorthy Dinesh, Carlo Valli, Sigurd Skogestad:
Real-time Optimal Resource Allocation in an Industrial Symbiotic Network using Transient Measurements. ACC 2020: 3541-3546 - [i1]Krishnamoorthy Dinesh:
Sensitivity-based Data Augmentation for Learning an Approximate Model Predictive Controller. CoRR abs/2009.07398 (2020)
2010 – 2019
- 2019
- [c4]Krishnamoorthy Dinesh, Sigurd Skogestad, Johannes Jäschke:
Multistage Model Predictive Control with Online Scenario Tree Update using Recursive Bayesian Weighting. ECC 2019: 1443-1448 - 2018
- [j2]Krishnamoorthy Dinesh, Bjarne Foss, Sigurd Skogestad:
Steady-state real-time optimization using transient measurements. Comput. Chem. Eng. 115: 34-45 (2018) - [j1]Krishnamoorthy Dinesh, Eka Suwartadi, Bjarne Foss, Sigurd Skogestad, Johannes Jäschke:
Improving Scenario Decomposition for Multistage MPC Using a Sensitivity-Based Path-Following Algorithm. IEEE Control. Syst. Lett. 2(4): 581-586 (2018) - [c3]Krishnamoorthy Dinesh, Marco Aurélio Aguiar, Bjarne Foss, Sigurd Skogestad:
A Distributed Optimization Strategy for Large Scale Oil and Gas Production Systems. CCTA 2018: 521-526 - [c2]Christoph Josef Backi, Krishnamoorthy Dinesh, Adriaen Verheyleweghen, Sigurd Skogestad:
Combined Nonlinear Moving Horizon Estimation and Model Predictive Control Applied to a Compressor for Active Surge Control. CCTA 2018: 1552-1557 - 2014
- [c1]Alexey Pavlov, Krishnamoorthy Dinesh, Kjetil Fjalestad, Elvira Aske, Morten Fredriksen:
Modelling and model predictive control of oil wells with Electric Submersible Pumps. CCA 2014: 586-592
Coauthor Index
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