Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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.org/img/orcid-mark.12x12.png "0000-0002-1777-7305")
— Indian Institute of Technology Palakkad, India (and 2 more)
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[i12]Christopher A. Orrico, Bokan Yang, Dinesh Krishnamoorthy:
On Building Myopic MPC Policies using Supervised Learning. CoRR abs/2401.12546 (2024)- [i11]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) - [i10]Dinesh Krishnamoorthy:
ECCBO: An Inherently Safe Bayesian Optimization with Embedded Constraint Control for Real-Time Optimization. CoRR abs/2402.18415 (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-03 20:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
