What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Artificial intelligence
Luc Dugard mainly investigates Control theory, Control engineering, Actuator, Nonlinear system and Adaptive control.
His research integrates issues of Bounded function and Suspension in his study of Control theory.
His Control engineering study integrates concerns from other disciplines, such as Vector control, Induction motor and Linear system.
Luc Dugard has included themes like Slip and Frequency domain in his Nonlinear system study.
His work deals with themes such as Permanent magnet synchronous generator and Multivariable calculus, which intersect with Adaptive control.
His Control system research is multidisciplinary, incorporating perspectives in Control theory, Vehicle dynamics and Damper.
His most cited work include:
- Stability and Control of Time-delay Systems (503 citations)
- Stability and robust stability of time-delay systems: A guided tour (204 citations)
- Semi-Active Suspension Control Design for Vehicles (190 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Control theory, Control engineering, Nonlinear system, Control theory and Damper.
As part of his studies on Control theory, Luc Dugard frequently links adjacent subjects like Suspension.
In Control engineering, Luc Dugard works on issues like Vehicle dynamics, which are connected to Active steering.
In his study, Stator is strongly linked to Induction motor, which falls under the umbrella field of Nonlinear system.
Luc Dugard works mostly in the field of Damper, limiting it down to topics relating to Observer and, in certain cases, State variable, as a part of the same area of interest.
He has researched Actuator in several fields, including Automotive engineering and Anti-roll bar.
He most often published in these fields:
- Control theory (84.15%)
- Control engineering (25.41%)
- Nonlinear system (22.68%)
What were the highlights of his more recent work (between 2012-2020)?
- Control theory (84.15%)
- Damper (17.21%)
- Control theory (21.86%)
In recent papers he was focusing on the following fields of study:
Control theory, Damper, Control theory, Suspension and Control engineering are his primary areas of study.
Control theory and Automotive engineering are commonly linked in his work.
His work on Semi active as part of general Damper study is frequently linked to Fault tolerance, therefore connecting diverse disciplines of science.
His work in Control theory covers topics such as Benchmark which are related to areas like Youla–Kucera parametrization.
His work carried out in the field of Suspension brings together such families of science as Control and Truck.
His work in the fields of Nonlinear control and Adaptive control overlaps with other areas such as Fault detection and isolation and Parametric statistics.
Between 2012 and 2020, his most popular works were:
- Integrated vehicle dynamics control via coordination of active front steering and rear braking (122 citations)
- Boundary observers for linear and quasi-linear hyperbolic systems with application to flow control (62 citations)
- Adaptive Road Profile Estimation in Semiactive Car Suspensions (40 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Artificial intelligence
Luc Dugard focuses on Control theory, Damper, Vehicle dynamics, Actuator and Control engineering.
His Control theory study incorporates themes from Automotive engineering and Suspension.
His Damper research focuses on subjects like Constant false alarm rate, which are linked to Algorithm design and CarSim.
He has included themes like Control system, Chassis, Multivariable calculus, Active steering and Internal model in his Vehicle dynamics study.
His work in the fields of Control engineering, such as Adaptive control, overlaps with other areas such as Parametric statistics.
Luc Dugard focuses mostly in the field of Control theory, narrowing it down to matters related to Yaw and, in some cases, Robust 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.
