What is he best known for?
The fields of study he is best known for:
- Control theory
- Mechanical engineering
- Electrical engineering
The scientist’s investigation covers issues in Control theory, Control engineering, Feed forward, Motion control and Robot.
Jan Swevers regularly ties together related areas like Machine tool in his Control theory studies.
The Control engineering study combines topics in areas such as Actuator and Overhead crane.
His work deals with themes such as Inverse system, Compensation and Linear motor, which intersect with Feed forward.
His study in Motion control is interdisciplinary in nature, drawing from both Control system and Function.
His work on Industrial robot and Robot kinematics as part of his general Robot study is frequently connected to Model implementation, thereby bridging the divide between different branches of science.
His most cited work include:
- An integrated friction model structure with improved presliding behavior for accurate friction compensation (532 citations)
- Optimal robot excitation and identification (373 citations)
- The generalized Maxwell-slip model: a novel model for friction Simulation and compensation (370 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Control theory, Control engineering, Nonlinear system, Mathematical optimization and Control theory.
Jan Swevers works mostly in the field of Control theory, limiting it down to topics relating to Robot and, in certain cases, Torque, as a part of the same area of interest.
His research in Control engineering intersects with topics in Control system, Control and Actuator.
His Nonlinear system study frequently draws connections to other fields, such as Algorithm.
His studies deal with areas such as Spline, Counterweight, Linear system and Convex optimization as well as Mathematical optimization.
His Optimal control study incorporates themes from Motion planning, Model predictive control and Motion control.
He most often published in these fields:
- Control theory (63.68%)
- Control engineering (28.88%)
- Nonlinear system (15.10%)
What were the highlights of his more recent work (between 2014-2021)?
- Control theory (63.68%)
- Mathematical optimization (15.10%)
- Control engineering (28.88%)
In recent papers he was focusing on the following fields of study:
His main research concerns Control theory, Mathematical optimization, Control engineering, Iterative learning control and Nonlinear system.
His Control theory research includes elements of Optimization problem and Motion planning.
His study explores the link between Mathematical optimization and topics such as Convex optimization that cross with problems in Monotonic function.
His research in Control engineering tackles topics such as MATLAB which are related to areas like Toolbox.
His work carried out in the field of Iterative learning control brings together such families of science as Tracking, Task, Task analysis, Robot and Robustness.
The concepts of his Linear system study are interwoven with issues in Iterative method, Feedback control, Symmetric matrix and Motion control.
Between 2014 and 2021, his most popular works were:
- Real-time nonlinear MPC and MHE for a large-scale mechatronic application (44 citations)
- Robust Monotonic Convergent Iterative Learning Control (34 citations)
- Sufficient LMI conditions for reduced-order multi-objective H 2 / H ∞ control of LTI systems (23 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mechanical engineering
- Electrical engineering
Jan Swevers mainly investigates Control theory, Mathematical optimization, Nonlinear system, Optimization problem and Control theory.
His Control theory research is multidisciplinary, incorporating perspectives in Model predictive control and Motion planning.
His research integrates issues of Algorithm design, Lemma, Robust control and H-infinity methods in control theory in his study of Mathematical optimization.
Jan Swevers has included themes like Estimation theory and Mechatronics in his Nonlinear system study.
His study looks at the relationship between Optimization problem and fields such as Norm, as well as how they intersect with chemical problems.
Jan Swevers interconnects Linear system, Linear matrix inequality, Overhead crane, Benchmark and Symmetric matrix in the investigation of issues within Control theory.
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