What is he best known for?
The fields of study he is best known for:
- Mathematical analysis
- Control theory
- Algebra
Wim Michiels focuses on Control theory, Eigenvalues and eigenvectors, Stability, Stability and Mathematical optimization.
His research integrates issues of Integrator, Frequency domain and Ordinary differential equation in his study of Control theory.
His Eigenvalues and eigenvectors research incorporates elements of Mathematical analysis, Right half-plane, Applied mathematics, Computation and Spectrum.
His Stability research is multidisciplinary, relying on both Smith predictor, Instability and Sensitivity.
His Stability study incorporates themes from Control engineering, Dynamical systems theory, Numerical analysis and Nonlinear system.
Within one scientific family, Wim Michiels focuses on topics pertaining to Traffic flow under Mathematical optimization, and may sometimes address concerns connected to Cutting tool, Supply chain, Machining and Flexibility.
His most cited work include:
- Stability and Stabilization of Time-Delay Systems: An Eigenvalue-Based Approach (477 citations)
- Stability and Stabilization of Systems with Time Delay (408 citations)
- Finite spectrum assignment of unstable time-delay systems with a safe implementation (286 citations)
What are the main themes of his work throughout his whole career to date?
Wim Michiels focuses on Control theory, Eigenvalues and eigenvectors, Applied mathematics, Stability and Nonlinear system.
Linear system, Control theory, Robustness, Full state feedback and Stability are subfields of Control theory in which his conducts study.
The concepts of his Eigenvalues and eigenvectors study are interwoven with issues in Abscissa and Numerical analysis, Mathematical analysis.
Wim Michiels works mostly in the field of Applied mathematics, limiting it down to topics relating to Norm and, in certain cases, Computation, Differential algebraic equation and H-infinity methods in control theory, as a part of the same area of interest.
His Stability research is multidisciplinary, incorporating perspectives in Function, Spectrum and Parameter space.
In general Nonlinear system study, his work on Delay differential equation often relates to the realm of Cascade, thereby connecting several areas of interest.
He most often published in these fields:
- Control theory (49.25%)
- Eigenvalues and eigenvectors (29.25%)
- Applied mathematics (23.88%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (49.25%)
- Applied mathematics (23.88%)
- Eigenvalues and eigenvectors (29.25%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Control theory, Applied mathematics, Eigenvalues and eigenvectors, Norm and Computation.
His study connects Differential algebraic equation and Control theory.
The various areas that Wim Michiels examines in his Applied mathematics study include Delay differential equation, Matrix, Lyapunov function, Stability and Function.
Wim Michiels combines subjects such as Subspace topology, Mathematical analysis, Spectrum and Nonlinear system with his study of Eigenvalues and eigenvectors.
His biological study spans a wide range of topics, including Transfer function, Pure mathematics, H-infinity methods in control theory, Algebraic number and Differential equation.
The study incorporates disciplines such as Transfer matrix, Dynamical systems theory and Type in addition to Computation.
Between 2016 and 2021, his most popular works were:
- A Subspace Method for Large-Scale Eigenvalue Optimization (18 citations)
- An Explicit Formula for the Splitting of Multiple Eigenvalues for Nonlinear Eigenvalue Problems and Connections with the Linearization for the Delay Eigenvalue Problem (14 citations)
- Distributed delay input shaper design by optimizing smooth kernel functions (12 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Algebra
Wim Michiels spends much of his time researching Control theory, Applied mathematics, Control theory, Exponential stability and Eigenvalues and eigenvectors.
Control theory is frequently linked to Computation in his study.
The Applied mathematics study combines topics in areas such as Function, Abscissa, Subspace topology and Delay differential equation.
His research in Control theory tackles topics such as Differential algebraic equation which are related to areas like Spectral abscissa, Uncertainty quantification and Nonlinear system.
The study incorporates disciplines such as Contrast, Bounded function, Lyapunov function and Linear stability in addition to Exponential stability.
In general Eigenvalues and eigenvectors, his work in Eigenvalue perturbation is often linked to Distributed structure linking many areas of study.
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