What is he best known for?
The fields of study he is best known for:
- Statistics
- Control theory
- Artificial intelligence
Didier Maquin mostly deals with Control theory, Nonlinear system, Linear matrix inequality, Observer and Lyapunov function.
Didier Maquin conducted interdisciplinary study in his works that combined Control theory and Fault detection and isolation.
Didier Maquin has researched Nonlinear system in several fields, including Linear system, Weighting, Control engineering, Mathematical optimization and Residual.
His work deals with themes such as Full state feedback, Actuator and System identification, which intersect with Linear matrix inequality.
His studies in Observer integrate themes in fields like Convergence and State.
His Lyapunov function research includes elements of Lyapunov exponent and Relaxed stability.
His most cited work include:
- Blind source separation, wavelet denoising and discriminant analysis for EEG artefacts and noise cancelling (114 citations)
- Brief paper: state estimation of Takagi-Sugeno systems with unmeasurable premise variables (109 citations)
- Fault Detection and Isolation with Robust Principal Component Analysis (83 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Control theory, Nonlinear system, Observer, Fault detection and isolation and Mathematical optimization.
His work on Lyapunov function, Linear matrix inequality and Linear system as part of general Control theory research is frequently linked to State, thereby connecting diverse disciplines of science.
His Lyapunov function research is multidisciplinary, incorporating elements of State variable, Exponential stability, Fuzzy logic and Stability conditions.
Within one scientific family, he focuses on topics pertaining to Control engineering under Nonlinear system, and may sometimes address concerns connected to Redundancy and Observability.
His study in the field of State observer is also linked to topics like Transformation.
As part of the same scientific family, Didier Maquin usually focuses on Mathematical optimization, concentrating on Applied mathematics and intersecting with Linear model.
He most often published in these fields:
- Control theory (62.09%)
- Nonlinear system (41.16%)
- Observer (35.02%)
What were the highlights of his more recent work (between 2014-2021)?
- Control theory (62.09%)
- Nonlinear system (41.16%)
- Observer (35.02%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Control theory, Nonlinear system, Observer, Estimation theory and Artificial intelligence.
His Control theory study deals with Control engineering intersecting with Shock absorber.
His research integrates issues of Linear system, Algorithm, State, Fault tolerance and Control theory in his study of Nonlinear system.
His Observer research incorporates themes from Mathematical optimization, Representation and Variable.
His research investigates the connection between Estimation theory and topics such as Class that intersect with problems in Discrete time nonlinear systems, Adaptive observer and Core.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Structural health monitoring and Pattern recognition.
Between 2014 and 2021, his most popular works were:
- Sensor fault tolerant control of nonlinear Takagi–Sugeno systems. Application to vehicle lateral dynamics (29 citations)
- Sensor fault tolerant control of nonlinear Takagi–Sugeno systems. Application to vehicle lateral dynamics (29 citations)
- State and output feedback control for Takagi-Sugeno systems with saturated actuators (18 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Control theory
Didier Maquin mainly investigates Control theory, Observer, Artificial intelligence, Nonlinear system and State vector.
Didier Maquin is involved in the study of Control theory that focuses on LTI system theory in particular.
The concepts of his Observer study are interwoven with issues in Variable, Representation, Algebraic number and Parameter dependent.
His study in the fields of Takagi sugeno and Feature selection under the domain of Artificial intelligence overlaps with other disciplines such as Premise.
He has researched Nonlinear system in several fields, including Control, Control theory and State.
His State vector research includes elements of Bounded function, Interval and Applied mathematics.
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