Oliver Wallscheid

About Oliver Wallscheid

Oliver Wallscheid, With an exceptional h-index of 23 and a recent h-index of 22 (since 2020), a distinguished researcher at Universität Paderborn, specializes in the field of control engineering, system identification, energy systems, electrical drives.

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

Insights and Challenges of Co-Simulation-based Optimal Pulse Pattern Evaluation for Electric Drives

Distributed control of partial differential equations using convolutional reinforcement learning

HARDCORE: H-field and power loss estimation for arbitrary waveforms with residual, dilated convolutional neural networks in ferrite cores

Nonlinear Efficiency-Optimal Model Predictive Torque Control of Induction Machines

Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors in the Whole Speed and Modulation Range Considering Current and Torque Limits

Reducing Contact Bouncing of a Relay by Optimizing the Switch Signal During Run-Time

Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays

ElectricGrid. jl-A Julia-based modeling and simulation tool for power electronics-driven electric energy grids

Oliver Wallscheid Information

University

Position

Acting professor

Citations(all)

1768

Citations(since 2020)

1578

Cited By

554

hIndex(all)

23

hIndex(since 2020)

22

i10Index(all)

41

i10Index(since 2020)

37

Email

University Profile Page

Google Scholar

Oliver Wallscheid Skills & Research Interests

control engineering

system identification

energy systems

electrical drives

Top articles of Oliver Wallscheid

Insights and Challenges of Co-Simulation-based Optimal Pulse Pattern Evaluation for Electric Drives

IEEE Transactions on Energy Conversion

2024/3/8

Distributed control of partial differential equations using convolutional reinforcement learning

Physica D: Nonlinear Phenomena

2024/2/21

HARDCORE: H-field and power loss estimation for arbitrary waveforms with residual, dilated convolutional neural networks in ferrite cores

arXiv preprint arXiv:2401.11488

2024/1/21

Wilhelm Kirchgässner
Wilhelm Kirchgässner

H-Index: 4

Oliver Wallscheid
Oliver Wallscheid

H-Index: 12

Nonlinear Efficiency-Optimal Model Predictive Torque Control of Induction Machines

Authorea Preprints

2023/12/7

Marius Becker
Marius Becker

H-Index: 0

Oliver Wallscheid
Oliver Wallscheid

H-Index: 12

Time-Optimal Model Predictive Control of Permanent Magnet Synchronous Motors in the Whole Speed and Modulation Range Considering Current and Torque Limits

IEEE Open Journal of the Industrial Electronics Society

2023/11/21

Reducing Contact Bouncing of a Relay by Optimizing the Switch Signal During Run-Time

IEEE Transactions on Automation Science and Engineering

2023/10/24

Pseudo-Labeling Machine Learning Algorithm for Predictive Maintenance of Relays

IEEE Open Journal of the Industrial Electronics Society

2023/10/13

ElectricGrid. jl-A Julia-based modeling and simulation tool for power electronics-driven electric energy grids

Journal of Open Source Software

2023/9/2

Online system identification and excitation for thermal monitoring of electric machines using machine learning and model predictive control

2023/8/28

Finite-set direct torque control via edge computing-assisted safe reinforcement learning for a permanent magnet synchronous motor

IEEE Transactions on Power Electronics

2023/8/9

Maximilian Schenke
Maximilian Schenke

H-Index: 3

Oliver Wallscheid
Oliver Wallscheid

H-Index: 12

Steady-state error compensation for reinforcement learning-based control of power electronic systems

IEEE Access

2023/7/20

Finite set sensorless control with minimum a priori knowledge and tuning effort for interior permanent magnet synchronous motors

IEEE Transactions on Power Electronics

2023/7/12

Model predictive direct self-control for six-step operation of permanent magnet synchronous machines

IEEE Transactions on Power Electronics

2023/6/15

Safe Reinforcement Learning-Based Control in Power Electronic Systems

2023/6/12

Machine learning for the control and monitoring of electric machine drives: Advances and trends

2023/6/9

Shen Zhang
Shen Zhang

H-Index: 11

Oliver Wallscheid
Oliver Wallscheid

H-Index: 12

Deep Q Direct Torque Control with a Reduced Control Set Towards Six-Step Operation of Permanent Magnet Synchronous Motors

2023/5/15

Maximilian Schenke
Maximilian Schenke

H-Index: 3

Oliver Wallscheid
Oliver Wallscheid

H-Index: 12

Fade-Over Strategy for use of Model Predictive Direct Self-Control with Field-Oriented Control

2023/5/15

Gym-Electric-Motor (GEM) Control: An Automated Open-Source Controller Design Suite for Drives

2023/5/15

Maximilian Schenke
Maximilian Schenke

H-Index: 3

Oliver Wallscheid
Oliver Wallscheid

H-Index: 12

Meta-Reinforcement Learning-Based Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power Classes

IEEE Transactions on Power Electronics

2023/3/13

Maximilian Schenke
Maximilian Schenke

H-Index: 3

Oliver Wallscheid
Oliver Wallscheid

H-Index: 12

Thermal neural networks: Lumped-parameter thermal modeling with state-space machine learning

Engineering Applications of Artificial Intelligence

2023/1/1

See List of Professors in Oliver Wallscheid University(Universität Paderborn)

Co-Authors

academic-engine