Demo Data from EDBT 2026 / reviewers in the wild / expert
Nicolai Kubasiak
dblp:01/6102
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2004
0000-0001-7121-7854ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Motion planning and robot control · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control
actuator control |
0.0 | 1 | 2004 | Multilevel Bridge Governor by using Model Predictive Control in Wavelet Packets for Tracking Trajectories · ICRA 2004 |
Robotics › Motion planning and robot control › robot control › actuator control
electromagnetic actuator control |
0.0 | 1 | 2004 | Multilevel Bridge Governor by using Model Predictive Control in Wavelet Packets for Tracking Trajectories · ICRA 2004 |
Robotics › Motion planning and robot control › robot control
model predictive control |
0.0 | 1 | 2004 | Multilevel Bridge Governor by using Model Predictive Control in Wavelet Packets for Tracking Trajectories · ICRA 2004 |
Methods — techniques the papers use, named apart from their topics
wavelet packet transform · 0.0hysteresis regulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Multilevel Bridge Governor by using Model Predictive Control in Wavelet Packets for Tracking TrajectoriesabstractThe paper presents a novel technique to control the current of an electromagnetic linear actuator fed by a multilevel IGBT voltage inverter with dynamic energy storage. In order to provide short response time, high precision and low switching frequency at the same time we combine current hysteresis regulation with model predictive control (MPC). The proposed MPC technique works in very short receding horizon and includes also wavelet algorithm to optimize the MPC operation. Through simulations with real actuator data the proposed technique shows very promising results. Paolo Mercorelli, Nicolai Kubasiak, Steven Liu |
ICRA | 2 |