D-Index & Metrics Best Publications
Mechanical and Aerospace Engineering
Netherlands
2023
Electronics and Electrical Engineering
Netherlands
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 60 Citations 13,028 667 World Ranking 967 National Ranking 7
Mechanical and Aerospace Engineering D-index 61 Citations 13,257 705 World Ranking 342 National Ranking 2

Research.com Recognitions

Awards & Achievements

2023 - Research.com Mechanical and Aerospace Engineering in Netherlands Leader Award

2023 - Research.com Electronics and Electrical Engineering in Netherlands Leader Award

2022 - Research.com Mechanical and Aerospace Engineering in Netherlands Leader Award

2022 - Research.com Electronics and Electrical Engineering in Netherlands Leader Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Control theory
  • Mechanical engineering

M Maarten Steinbuch mainly focuses on Control theory, Control theory, Control engineering, Motion control and Optimal control. His study in Control theory focuses on Feed forward, Adaptive control, Control system, Robust control and Nonlinear system. His study in Control theory is interdisciplinary in nature, drawing from both Compensation, Torque, Torque converter, Automotive industry and Work.

His biological study spans a wide range of topics, including Iterative learning control, Compact disc, Robustness and System identification. His Motion control study combines topics from a wide range of disciplines, such as Design objective, Motion system, Operating point and Finite impulse response. M Maarten Steinbuch has researched Optimal control in several fields, including Energy management, Electric vehicle, Dynamic programming, Benchmark and Optimization problem.

His most cited work include:

  • String-Stable CACC Design and Experimental Validation: A Frequency-Domain Approach (453 citations)
  • Energy management strategies for vehicular electric power systems (374 citations)
  • Plasma needle for in vivo medical treatment: recent developments and perspectives (325 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Control theory, Control engineering, Control theory, Automotive engineering and Control system. His work in Control theory is not limited to one particular discipline; it also encompasses Motion control. His Control engineering research incorporates themes from Iterative learning control, Control and Motion system.

His study brings together the fields of Stability and Control theory. M Maarten Steinbuch interconnects Powertrain and Driving cycle in the investigation of issues within Automotive engineering. His Energy management research extends to Fuel efficiency, which is thematically connected.

He most often published in these fields:

  • Control theory (51.16%)
  • Control engineering (23.44%)
  • Control theory (16.00%)

What were the highlights of his more recent work (between 2012-2021)?

  • Control theory (51.16%)
  • Control engineering (23.44%)
  • Automotive engineering (10.38%)

In recent papers he was focusing on the following fields of study:

M Maarten Steinbuch spends much of his time researching Control theory, Control engineering, Automotive engineering, Control theory and Feed forward. His work investigates the relationship between Control theory and topics such as Motion control that intersect with problems in Throughput and Actuator. His biological study deals with issues like Iterative learning control, which deal with fields such as Basis function.

He works mostly in the field of Automotive engineering, limiting it down to concerns involving Powertrain and, occasionally, Optimal control and Flywheel. The concepts of his Control theory study are interwoven with issues in Control system, Clutch and System identification. His Feed forward research includes elements of Vibration and Vibration isolation.

Between 2012 and 2021, his most popular works were:

  • Review of Optimization Strategies for System-Level Design in Hybrid Electric Vehicles (108 citations)
  • Connecting System Identification and Robust Control for Next-Generation Motion Control of a Wafer Stage (99 citations)
  • Iterative motion feedforward tuning : a data-driven approach based on instrumental variable identification (53 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Control theory
  • Mechanical engineering

M Maarten Steinbuch mostly deals with Control theory, Control engineering, Control theory, Automotive engineering and Optimal control. His research integrates issues of System identification and Motion control in his study of Control theory. The study incorporates disciplines such as Iterative learning control, Control, Motion system, Optimization problem and Robustness in addition to Control engineering.

The various areas that M Maarten Steinbuch examines in his Control theory study include Continuously variable transmission, Clutch, Residual, Noise and Trajectory. His Automotive engineering research is multidisciplinary, incorporating perspectives in Powertrain and Waste heat recovery unit. M Maarten Steinbuch combines subjects such as Safety factor, Electric vehicle, Quadratic programming, Dynamic programming and Topology optimization with his study of Optimal control.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Modeling and identification for high-performance robot control: an RRR-robotic arm case study

D. Kostic;Bram de Jager;M. Steinbuch;R. Hensen.
IEEE Transactions on Control Systems and Technology (2004)

901 Citations

String-Stable CACC Design and Experimental Validation: A Frequency-Domain Approach

Gerrit J L Naus;René P A Vugts;Jeroen Ploeg;Marinus J G van de Molengraft.
IEEE Transactions on Vehicular Technology (2010)

760 Citations

Energy management strategies for vehicular electric power systems

M. Koot;J.T.B.A. Kessels;B. de Jager;W.P.M.H. Heemels.
IEEE Transactions on Vehicular Technology (2005)

551 Citations

Plasma needle for in vivo medical treatment: recent developments and perspectives

E Stoffels;I E Kieft;R E J Sladek;L J M van den Bedem.
Plasma Sources Science and Technology (2006)

514 Citations

Brief Repetitive control for systems with uncertain period-time

Maarten Steinbuch.
Automatica (2002)

374 Citations

A fast algorithm to computer the H ∞ -norm of a transfer function matrix

N. A. Bruinsma;N. A. Bruinsma;M. Steinbuch.
Systems & Control Letters (1990)

347 Citations

Trajectory planning and feedforward design for electromechanical motion systems

PF Paul Lambrechts;Mlg Matthijs Boerlage;M Maarten Steinbuch.
Control Engineering Practice (2005)

329 Citations

Rule-based energy management strategies for hybrid vehicles

Theo Hofman;Maarten Steinbuch;Roell Van Druten;Alex Serrarens.
International Journal of Electric and Hybrid Vehicles (2007)

244 Citations

Review of Optimization Strategies for System-Level Design in Hybrid Electric Vehicles

Emilia Silvas;Theo Hofman;Nikolce Murgovski;L. F. Pascal Etman.
IEEE Transactions on Vehicular Technology (2017)

237 Citations

Brief paper: Design of noise and period-time robust high-order repetitive control, with application to optical storage

Maarten Steinbuch;Siep Weiland;Tarunraj Singh.
Automatica (2007)

184 Citations

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