What is he best known for?
The fields of study he is best known for:
- Statistics
- Control theory
- Electrical engineering
The scientist’s investigation covers issues in Control theory, Nonlinear system, System identification, Algorithm and Estimation theory.
His biological study spans a wide range of topics, including Nonparametric statistics, Electronic engineering and Identification.
His studies in Nonlinear system integrate themes in fields like Nonlinear distortion, Linear system, Linear model and Excitation.
Joannes Schoukens has researched System identification in several fields, including White noise, Frequency domain, Noise and Modal analysis.
His Algorithm research incorporates elements of Signal compression, Signal processing and Noise.
His work in Estimation theory tackles topics such as Estimator which are related to areas like Applied mathematics and Gaussian noise.
His most cited work include:
- System Identification: A Frequency Domain Approach (1698 citations)
- Parametric identification of transfer functions in the frequency domain-a survey (424 citations)
- The interpolated fast Fourier transform: a comparative study (267 citations)
What are the main themes of his work throughout his whole career to date?
Joannes Schoukens spends much of his time researching Nonlinear system, Control theory, Algorithm, Applied mathematics and System identification.
Joannes Schoukens works mostly in the field of Nonlinear system, limiting it down to topics relating to Electronic engineering and, in certain cases, Signal processing, as a part of the same area of interest.
The various areas that Joannes Schoukens examines in his Control theory study include Nonparametric statistics, Frequency domain and Signal.
The study incorporates disciplines such as Time domain, Transfer function and Parametric statistics in addition to Frequency domain.
In his research on the topic of Applied mathematics, Covariance matrix is strongly related with Estimator.
Joannes Schoukens interconnects Control engineering and Noise in the investigation of issues within System identification.
He most often published in these fields:
- Nonlinear system (37.81%)
- Control theory (27.12%)
- Algorithm (21.64%)
What were the highlights of his more recent work (between 2013-2021)?
- Nonlinear system (37.81%)
- Applied mathematics (20.68%)
- Control theory (27.12%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Nonlinear system, Applied mathematics, Control theory, Algorithm and System identification.
His research integrates issues of Polynomial, State space, Nonlinear system identification and Identification in his study of Nonlinear system.
His work deals with themes such as Nonparametric statistics, Multivariate polynomials, Linear system and H-infinity methods in control theory, which intersect with Applied mathematics.
His Algorithm research integrates issues from Spectral density, Interpretation and Filter.
His studies deal with areas such as Design of experiments, Nonlinear mechanical systems, Aerodynamics, Test bench and Artificial intelligence as well as System identification.
The concepts of his Linear approximation study are interwoven with issues in Mimo systems, Additive white Gaussian noise, Sensitivity, Frequency response and Frequency domain.
Between 2013 and 2021, his most popular works were:
- A nonlinear state-space approach to hysteresis identification (36 citations)
- Decoupling Multivariate Polynomials Using First-Order Information and Tensor Decompositions (27 citations)
- Regularized nonparametric Volterra kernel estimation (25 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Electrical engineering
- Control theory
His primary areas of investigation include Nonlinear system, Control theory, Applied mathematics, System identification and Nonlinear system identification.
His study in Nonlinear system is interdisciplinary in nature, drawing from both Mathematical optimization, Algorithm, Linear system and State space.
Joannes Schoukens focuses mostly in the field of Control theory, narrowing it down to matters related to Identification and, in some cases, Structure and Noise.
His work carried out in the field of Applied mathematics brings together such families of science as Nonparametric statistics, Multivariate polynomials, Discrete time and continuous time and Impulse response.
His System identification research is multidisciplinary, relying on both Signal, Digital-to-analog converter, Stiffness and Wind tunnel.
His research in Linear approximation focuses on subjects like Frequency domain, which are connected to Pole–zero plot, Transfer function, Describing function, Bode plot and Control engineering.
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