Dinesh Krishnamoorthy

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Sigurd SkogestadProfessor of Chemical Engineering, Norwegian University of Science and Technology (NTNU)Verified email at ntnu.no
Bjarne FossProfessor, Dept. Engineering Cybernetics, Norwegian University of Science and TechnologyVerified email at ntnu.no
Johannes JäschkeProfessor, Department Chemical Engineering, Norwegian University of Science andVerified email at ntnu.no
Alexey PavlovProfessor in Petroleum Cybernetics, NTNUVerified email at ntnu.no
Risvan DirzaNorwegian University of Technology and Science (NTNU)Verified email at ntnu.no
Esmaeil JahanshahiNorwegian University of Science and TechnologyVerified email at ntnu.no
Francis DoyleHarvard UniversityVerified email at seas.harvard.edu
Julian StrausSINTEF Energy ResearchVerified email at sintef.no
Eka SuwartadiEmbedded System Engineer at Mettler ToledoVerified email at mt.com
Maurício B de Souza Jr.School of Chemistry, UFRJVerified email at eq.ufrj.br
Argimiro R. SecchiProfessor of Chemical Engineering, COPPE - Universidade Federal do Rio de JaneiroVerified email at peq.coppe.ufrj.br
Mandar ThombreAdvance Process Control, EquinorVerified email at equinor.com
Joel PaulsonAssistant Professor of Chemical and Biomolecular Engineering, The Ohio State UniversityVerified email at osu.edu
Lorenz BieglerCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Ali MesbahUniversity of California, BerkeleyVerified email at berkeley.edu
Christoph Josef BackiBASF SE, Technical Expertise - Advanced Process ControlVerified email at basf.com
Andres CodasSenior Research Software Engineer | MicrosoftVerified email at microsoft.com
John Bagterp JørgensenProfessor, Technical University of DenmarkVerified email at dtu.dk
Dimitri BoirouxDepartment of Applied Mathematics and Computer Science, Technical University of DenmarkVerified email at dtu.dk
Tamal DasNorwegian University of Science and TechnologyVerified email at ntnu.no

Dinesh Krishnamoorthy

Eindhoven University of Technology

Verified email at seas.harvard.edu - Homepage

Control Optimization


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Steady-state real-time optimization using transient measurements D Krishnamoorthy, B Foss, S Skogestad Computers & Chemical Engineering 115, 34-45, 2018	89	2018
Real-time optimization under uncertainty applied to a gas lifted well network D Krishnamoorthy, B Foss, S Skogestad Processes 4 (4), 52, 2016	78	2016
Modelling and model predictive control of oil wells with electric submersible pumps A Pavlov, D Krishnamoorthy, K Fjalestad, E Aske, M Fredriksen 2014 IEEE Conference on Control Applications (CCA), 586-592, 2014	62	2014
Real-time optimization as a feedback control problem–a review D Krishnamoorthy, S Skogestad Computers & Chemical Engineering 161, 107723, 2022	53	2022
Modelling and robustness analysis of model predictive control for electrical submersible pump lifted heavy oil wells D Krishnamoorthy, EM Bergheim, A Pavlov, M Fredriksen, K Fjalestad IFAC-PapersOnLine 49 (7), 544-549, 2016	47	2016
Optimal operation of oil and gas production using simple feedback control structures D Krishnamoorthy, K Fjalestad, S Skogestad Control Engineering Practice 91, 104107, 2019	38	2019
Model predictive control with adaptive strategy applied to an electric submersible pump in a subsea environment PA Delou, JPA de Azevedo, D Krishnamoorthy, MB de Souza Jr, ... IFAC-PapersOnLine 52 (1), 784-789, 2019	37	2019
On combining self-optimizing control and extremum-seeking control–applied to an ammonia reactor case study J Straus, D Krishnamoorthy, S Skogestad Journal of Process control 78, 78-87, 2019	33	2019
A distributed feedback-based online process optimization framework for optimal resource sharing D Krishnamoorthy Journal of Process Control 97, 72-83, 2021	32	2021
Feedback real-time optimization strategy using a novel steady-state gradient estimate and transient measurements D Krishnamoorthy, E Jahanshahi, S Skogestad Industrial & Engineering Chemistry Research 58 (1), 207-216, 2018	30	2018
Online process optimization with active constraint set changes using simple control structures D Krishnamoorthy, S Skogestad Industrial & Engineering Chemistry Research 58 (30), 13555-13567, 2019	27	2019
Robust extremum seeking control with application to gas lifted oil wells D Krishnamoorthy, A Pavlov, Q Li IFAC-PapersOnLine 49 (13), 205-210, 2016	26	2016
Improving scenario decomposition for multistage MPC using a sensitivity-based path-following algorithm D Krishnamoorthy, E Suwartadi, B Foss, S Skogestad, J Jäschke IEEE control systems letters 2 (4), 581-586, 2018	23	2018
Safe Bayesian optimization using interior-point methods—applied to personalized insulin dose guidance D Krishnamoorthy, FJ Doyle IEEE Control Systems Letters 6, 2834-2839, 2022	22	2022
Systematic design of active constraint switching using selectors D Krishnamoorthy, S Skogestad Computers & chemical engineering 143, 107106, 2020	20	2020
A distributed algorithm for scenario-based model predictive control using primal decomposition D Krishnamoorthy, B Foss, S Skogestad IFAC-PapersOnLine 51 (18), 351-356, 2018	20	2018
Plantwide control of an oil production network E Jahanshahi, D Krishnamoorthy, A Codas, B Foss, S Skogestad Computers & Chemical Engineering 136, 106765, 2020	19	2020
A primal decomposition algorithm for distributed multistage scenario model predictive control D Krishnamoorthy, B Foss, S Skogestad Journal of Process Control 81, 162-171, 2019	17	2019
Optimal resource allocation using distributed feedback-based real-time optimization R Dirza, S Skogestad, D Krishnamoorthy IFAC-PapersOnLine 54 (3), 706-711, 2021	16	2021
Data-driven scenario selection for multistage robust model predictive control D Krishnamoorthy, M Thombre, S Skogestad, J Jäschke IFAC-PapersOnLine 51 (20), 462-468, 2018	16	2018

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