Tomislav Dragičević

About Tomislav Dragičević

Tomislav Dragičević, With an exceptional h-index of 72 and a recent h-index of 69 (since 2020), a distinguished researcher at Danmarks Tekniske Universitet, specializes in the field of Microgrids, Electric Drives, Power Electronics, Power Systems, Smart Grids.

His recent articles reflect a diverse array of research interests and contributions to the field:

Stability-Oriented Prediction Horizons Design of Generalized Predictive Control for DC/DC Boost Converter

Safety-Enhanced Self-Learning for Optimal Power Converter Control

A Self-Commissioning Edge Computing Method for Data-Driven Anomaly Detection in Power Electronic Systems

Generalized Data-Driven Model to Minimize Current Ringing in DAB Power Converter

Composite nonlinear feedback control of a DC-DC boost converter under input voltage and load variation

Reinforcement Learning-Based False Data Injection Attacks Detector for Modular Multilevel Converters

An iterative learning based compensation in model predictive control for DC/DC boost converter

Distributed Control for Modular Multilevel Cascaded Converters: Toward a Fully Modular Topology

Tomislav Dragičević Information

University

Position

Professor

Citations(all)

21003

Citations(since 2020)

17145

Cited By

9189

hIndex(all)

72

hIndex(since 2020)

69

i10Index(all)

232

i10Index(since 2020)

221

Email

University Profile Page

Google Scholar

Tomislav Dragičević Skills & Research Interests

Microgrids

Electric Drives

Power Electronics

Power Systems

Smart Grids

Top articles of Tomislav Dragičević

Stability-Oriented Prediction Horizons Design of Generalized Predictive Control for DC/DC Boost Converter

arXiv preprint arXiv:2404.16391

2024/4/25

Safety-Enhanced Self-Learning for Optimal Power Converter Control

IEEE Transactions on Industrial Electronics

2024/2/21

Tomislav Dragičević
Tomislav Dragičević

H-Index: 44

A Self-Commissioning Edge Computing Method for Data-Driven Anomaly Detection in Power Electronic Systems

IEEE Transactions on Industrial Electronics

2024/1/9

Nenad Mijatovic
Nenad Mijatovic

H-Index: 2

Tomislav Dragičević
Tomislav Dragičević

H-Index: 44

Generalized Data-Driven Model to Minimize Current Ringing in DAB Power Converter

IEEE Journal of Emerging and Selected Topics in Industrial Electronics

2024

Composite nonlinear feedback control of a DC-DC boost converter under input voltage and load variation

International Journal of Electrical Power & Energy Systems

2024/1/1

Reinforcement Learning-Based False Data Injection Attacks Detector for Modular Multilevel Converters

IEEE Transactions on Industrial Electronics

2023/9/20

Yeiner Arias-Esquivel
Yeiner Arias-Esquivel

H-Index: 1

Tomislav Dragičević
Tomislav Dragičević

H-Index: 44

An iterative learning based compensation in model predictive control for DC/DC boost converter

2023/9/4

Distributed Control for Modular Multilevel Cascaded Converters: Toward a Fully Modular Topology

2023/9/4

Review of online learning for control and diagnostics of power converters and drives: Algorithms, implementations and applications

2023/8/30

Emerging Information Technologies for the Energy Management of Onboard Microgrids in Transportation Applications

2023/8/29

Zhen Huang
Zhen Huang

H-Index: 1

Yuan Gao
Yuan Gao

H-Index: 4

Tomislav Dragičević
Tomislav Dragičević

H-Index: 44

Modulation Compensated Power Synchronization Control for Modular Multilevel Converters with Enhanced Performance under Varying SCR

IEEE Journal of Emerging and Selected Topics in Power Electronics

2023/7/7

Cooperative decision-making approach for multi-objective finite control set model predictive control without weighting parameters

IEEE Transactions on Industrial Electronics

2023/6/12

Finite-time tracking control with fast reaching condition for disturbed more electric aircraft direct current microgrid with constant power loads

IEEE Transactions on Aerospace and Electronic Systems

2023/5/16

Surrogate-Assisted Combinatorial Optimization of EV Fast Charging Stations

IEEE Transactions on Transportation Electrification

2023/4/12

Daniel Gebbran
Daniel Gebbran

H-Index: 3

Tomislav Dragičević
Tomislav Dragičević

H-Index: 44

Reinforcement learning-based method to exploit vulnerabilities of false data injection attack detectors in modular multilevel converters

IEEE Transactions on Power Electronics

2023/3/31

Small Signal Model of Modular Multilevel Converter with Power Synchronization Control

2023/3/19

Micro-flexibility: Challenges for power system modeling and control

Electric Power Systems Research

2023/3/1

Stability oriented design of model predictive control for DC/DC boost converter

IEEE Transactions on Industrial Electronics

2023/3/1

Privacy-based demand response modeling for residential consumers using machine learning with a cloud–fog-based smart grid environment

Energies

2023/2/7

See List of Professors in Tomislav Dragičević University(Danmarks Tekniske Universitet)

Co-Authors

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