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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
53
Citations
11446
World Ranking
2400
National Ranking
49

Overview

Tobias Geyer is affiliated with ABB (Switzerland) in Switzerland and specializes in engineering, with a focus on electrical and electronic engineering as well as control and systems engineering. Their research spans several interconnected fields, including biomedical engineering and radiology-related disciplines.

Their recent publications demonstrate engagement with advanced control strategies and power electronics systems. Key papers include:

  • "Model Predictive Control of Power Electronic Systems: Methods, Results, and Challenges," 2020, IEEE Open Journal of Industry Applications
  • "Latest Advances of Model Predictive Control in Electrical Drives-Part I: Basic Concepts and Advanced Strategies," 2021, IEEE Transactions on Power Electronics
  • "Latest Advances of Model Predictive Control in Electrical Drives-Part II: Applications and Benchmarking With Classical Control Methods," 2021, IEEE Transactions on Power Electronics
  • "Fixed Switching Frequency Direct Model Predictive Control With Continuous and Discontinuous Modulation for Grid-Tied Converters With LCL Filters," 2020, IEEE Transactions on Control Systems Technology
  • "Prediction Model With Harmonic Load Current Components for FCS-MPC of an Uninterruptible Power Supply," 2021, IEEE Transactions on Power Electronics

Tobias Geyer has published extensively in several venues related to power electronics and control systems. Frequent publication venues include:

  • IEEE Transactions on Power Electronics
  • IEEE Transactions on Industry Applications
  • IEEE Transactions on Control Systems Technology
  • arXiv (Cornell University)
  • IEEE Open Journal of the Industrial Electronics Society

The main topics covered in their work are:

  • Multilevel Inverters and Converters
  • Advanced DC-DC Converters
  • Microgrid Control and Optimization
  • Silicon Carbide Semiconductor Technologies
  • Radiomics and Machine Learning in Medical Imaging
  • Venous Thromboembolism Diagnosis and Management
  • Advanced X-ray and CT Imaging

Frequent co-authors collaborating with Tobias Geyer include:

  • Πέτρος Καραμανάκος
  • Ralph Kennel
  • Ricardo P. Aguilera
  • Tinus Dorfling
  • Qifan Yang

The research contribution is predominantly centered on engineering with a specialization in electrical and electronic areas, addressing control mechanisms for power electronic systems and related technologies. Their portfolio reflects interdisciplinary interests spanning both traditional power electronics and biomedical imaging technologies.

Best Publications

  • Model Predictive Direct Torque Control—Part I: Concept, Algorithm, and Analysis

    T. Geyer;G. Papafotiou;M. Morari

  • Guidelines for the Design of Finite Control Set Model Predictive Controllers

    Petros Karamanakos;Tobias Geyer

  • Latest Advances of Model Predictive Control in Electrical Drives. Part I: Basic Concepts and Advanced Strategies

    Jose Rodriguez;Cristian Garcia;Andres Mora;Freddy Flores-Bahamonde

  • Model Predictive Control of Power Electronic Systems: Methods, Results, and Challenges

    Petros Karamanakos;Eyke Liegmann;Tobias Geyer;Ralph Kennel

  • Multistep Finite Control Set Model Predictive Control for Power Electronics

    Tobias Geyer;Daniel E. Quevedo

  • Model Predictive Pulse Pattern Control

    T. Geyer;N. Oikonomou;G. Papafotiou;F. D. Kieferndorf

  • Model Predictive Control of High Power Converters and Industrial Drives

    Tobias Geyer

  • Performance of Multistep Finite Control Set Model Predictive Control for Power Electronics

    Tobias Geyer;Daniel E. Quevedo

  • Direct Voltage Control of DC–DC Boost Converters Using Enumeration-Based Model Predictive Control

    Petros Karamanakos;Tobias Geyer;Stefanos Manias

  • Computationally Efficient Model Predictive Direct Torque Control

    T. Geyer

  • Latest Advances of Model Predictive Control in Electrical Drives. Part II: Applications and Benchmarking with Classical Control Methods

    Jose Rodriguez;Cristian Garcia;Andres Mora;Alireza Davari

  • Direct Model Predictive Control: A Review of Strategies That Achieve Long Prediction Intervals for Power Electronics

    Petros Karamanakos;Tobias Geyer;Nikolaos Oikonomou;Frederick D. Kieferndorf

  • Comparison of Hybrid Control Techniques for Buck and Boost DC-DC Converters

    S Mariethoz;S Almer;M Baja;A G Beccuti

  • A Comparison of Control and Modulation Schemes for Medium-Voltage Drives: Emerging Predictive Control Concepts Versus PWM-Based Schemes

    Tobias Geyer

  • Model predictive control of high power converters and industrial drives

    Unknown

  • Hybrid Model Predictive Control of the Step-Down DC–DC Converter

    T. Geyer;G. Papafotiou;M. Morari

  • Model Predictive Pulse Pattern Control for the Five-Level Active Neutral-Point-Clamped Inverter

    Nikolaos Oikonomou;Christof Gutscher;Petros Karamanakos;Frederick D. Kieferndorf

  • High-Speed Finite Control Set Model Predictive Control for Power Electronics

    Bartolomeo Stellato;Tobias Geyer;Paul J. Goulart

  • Model Predictive Direct Current Control of Modular Multilevel Converters: Modeling, Analysis, and Experimental Evaluation

    Baljit S. Riar;Tobias Geyer;Udaya K. Madawala

  • Low complexity model predictive control in power electronics and power systems

    Tobias Geyer

  • Constrained Optimal Control of the Step-Down DC–DC Converter

    T. Geyer;G. Papafotiou;R. Frasca;M. Morari

Frequent Co-Authors

Manfred Morari
Manfred Morari University of Pennsylvania
Udaya K. Madawala
Udaya K. Madawala University of Auckland
Ralph Kennel
Ralph Kennel Technical University of Munich
Daniel E. Quevedo
Daniel E. Quevedo University of Sydney
Ricardo P. Aguilera
Ricardo P. Aguilera University of Technology Sydney
Stefanos Manias
Stefanos Manias National Technical University of Athens
Sergio Vazquez
Sergio Vazquez University of Seville
Leopoldo G. Franquelo
Leopoldo G. Franquelo University of Seville
Jose I. Leon
Jose I. Leon University of Seville
Anders Rantzer
Anders Rantzer Lund University

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