Dinesh Krishnamoorthy

According to our database, Dinesh Krishnamoorthy authored at least 28 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Comparative Study of Distributed Feedback Optimizing Control Architectures.

Risvan Dirza, Hari Prasad Varadarajan, Vegard Aas, Sigurd Skogestad, Dinesh Krishnamoorthy

CoRR, 2024

ECCBO: An Inherently Safe Bayesian Optimization with Embedded Constraint Control for Real-Time Optimization.

Dinesh Krishnamoorthy

CoRR, 2024

Learning the cost-to-go for mixed-integer nonlinear model predictive control.

Christopher A. Orrico, W. P. M. H. Heemels, Dinesh Krishnamoorthy

CoRR, 2024

On Building Myopic MPC Policies using Supervised Learning.

Christopher A. Orrico, Bokan Yang, Dinesh Krishnamoorthy

CoRR, 2024

A Bayesian Optimization Framework for the Automatic Tuning of MPC-based Shared Controllers.

Anne van der Horst, Bas Meere, Dinesh Krishnamoorthy, Saray Bakker, Bram van de Vrande, Henry Stoutjesdijk, Marco Alonso, Elena Torta

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.

Dinesh Krishnamoorthy, Francis J. Doyle III

IEEE Trans. Biomed. Eng., May, 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

IEEE Control. Syst. Lett., 2023

An Improved Data Augmentation Scheme for Model Predictive Control Policy Approximation.

Dinesh Krishnamoorthy

IEEE Control. Syst. Lett., 2023

Stability Properties of the Adaptive Horizon Multi-Stage MPC.

Zawadi Mdoe, Dinesh Krishnamoorthy, Johannes Jäschke

CoRR, 2023

Multi-agent Black-box Optimization using a Bayesian Approach to Alternating Direction Method of Multipliers.

Dinesh Krishnamoorthy, Joel A. Paulson

CoRR, 2023

ALADIN-Based Distributed Model Predictive Control with Dynamic Partitioning: An Application to Solar Parabolic Trough Plants.

Paula Chanfreut, José M. Maestre, Dinesh Krishnamoorthy, Eduardo F. Camacho

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

A Sensitivity-Based Data Augmentation Framework for Model Predictive Control Policy Approximation.

Dinesh Krishnamoorthy

IEEE Trans. Autom. Control., 2022

Safe Bayesian Optimization Using Interior-Point Methods - Applied to Personalized Insulin Dose Guidance.

Dinesh Krishnamoorthy, Francis J. Doyle

IEEE Control. Syst. Lett., 2022

Real-Time optimization as a feedback control problem - A review.

Dinesh Krishnamoorthy, Sigurd Skogestad

Comput. Chem. Eng., 2022

A Sensitivity Assisted Alternating Directions Method of Multipliers for Distributed Optimization.

Dinesh Krishnamoorthy, Vyacheslav Kungurtsev

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

A Model-Free Approach to Automatic Dose Guidance in Long Acting Insulin Treatment of Type 2 Diabetes.

Dinesh Krishnamoorthy, Dimitri Boiroux, Tinna Björk Aradóttir, Sarah Ellinor Engell, John Bagterp Jørgensen

IEEE Control. Syst. Lett., 2021

On the Design and Analysis of Multivariable Extremum Seeking Control using Fast Fourier Transform.

Dinesh Krishnamoorthy

CoRR, 2021

Adaptive Horizon Multistage Nonlinear Model Predictive Control.

Zawadi Mdoe, Dinesh Krishnamoorthy, Johannes Jäschke

Proceedings of the 2021 American Control Conference, 2021

2020

Sensitivity-based Data Augmentation for Learning an Approximate Model Predictive Controller.

Krishnamoorthy Dinesh

CoRR, 2020

Plantwide control of an oil production network.

Esmaeil Jahanshahi, Krishnamoorthy Dinesh, Andrés Codas, Bjarne Foss, Sigurd Skogestad

Comput. Chem. Eng., 2020

Systematic design of active constraint switching using selectors.

Krishnamoorthy Dinesh, Sigurd Skogestad

Comput. Chem. Eng., 2020

Real-time Optimal Resource Allocation in an Industrial Symbiotic Network using Transient Measurements.

Krishnamoorthy Dinesh, Carlo Valli, Sigurd Skogestad

Proceedings of the 2020 American Control Conference, 2020

2019

Multistage Model Predictive Control with Online Scenario Tree Update using Recursive Bayesian Weighting.

Krishnamoorthy Dinesh, Sigurd Skogestad, Johannes Jäschke

Proceedings of the 17th European Control Conference, 2019

2018

Improving Scenario Decomposition for Multistage MPC Using a Sensitivity-Based Path-Following Algorithm.

Krishnamoorthy Dinesh, Eka Suwartadi, Bjarne Foss, Sigurd Skogestad, Johannes Jäschke

IEEE Control. Syst. Lett., 2018

Steady-state real-time optimization using transient measurements.

Krishnamoorthy Dinesh, Bjarne Foss, Sigurd Skogestad

Comput. Chem. Eng., 2018

Combined Nonlinear Moving Horizon Estimation and Model Predictive Control Applied to a Compressor for Active Surge Control.

Christoph Josef Backi, Krishnamoorthy Dinesh, Adriaen Verheyleweghen, Sigurd Skogestad

Proceedings of the IEEE Conference on Control Technology and Applications, 2018

A Distributed Optimization Strategy for Large Scale Oil and Gas Production Systems.

Krishnamoorthy Dinesh, Marco Aurélio Aguiar, Bjarne Foss, Sigurd Skogestad

Proceedings of the IEEE Conference on Control Technology and Applications, 2018

2014

Modelling and model predictive control of oil wells with Electric Submersible Pumps.

Alexey Pavlov, Krishnamoorthy Dinesh, Kjetil Fjalestad, Elvira Aske, Morten Fredriksen

Proceedings of the 2014 IEEE Conference on Control Applications, 2014