What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Mathematical optimization
His primary areas of investigation include Control theory, Linear matrix inequality, Robust control, Mathematical optimization and Linear system.
The various areas that Carsten W. Scherer examines in his Control theory study include Optimization problem and Model predictive control.
His Linear matrix inequality research is multidisciplinary, relying on both Dynamical systems theory, Polynomial matrix, Quadratic equation, Applied mathematics and Polynomial.
His studies in Robust control integrate themes in fields like Semidefinite programming and Rational dependence.
Carsten W. Scherer has researched Mathematical optimization in several fields, including Control, Computation and Design objective.
His work is dedicated to discovering how Linear system, Control system are connected with Quadratic lyapunov function and other disciplines.
His most cited work include:
- Multiobjective output-feedback control via LMI optimization (2078 citations)
- LPV control and full block multipliers (520 citations)
- Linear Matrix Inequalities in Control (445 citations)
What are the main themes of his work throughout his whole career to date?
Carsten W. Scherer spends much of his time researching Control theory, Robust control, Mathematical optimization, Control theory and Quadratic equation.
In general Control theory, his work in Robustness and Linear system is often linked to Convex optimization and Parametric statistics linking many areas of study.
His Robust control research integrates issues from Bounded function and Semidefinite programming.
His work deals with themes such as Uncertain systems and Computation, which intersect with Mathematical optimization.
His work carried out in the field of Control theory brings together such families of science as Observer and Transient response.
In his work, Algebraic number is strongly intertwined with Applied mathematics, which is a subfield of Quadratic equation.
He most often published in these fields:
- Control theory (63.55%)
- Robust control (31.78%)
- Mathematical optimization (31.31%)
What were the highlights of his more recent work (between 2014-2021)?
- Control theory (63.55%)
- Quadratic equation (23.36%)
- Stability (11.21%)
In recent papers he was focusing on the following fields of study:
Control theory, Quadratic equation, Stability, Mathematical optimization and Robust control are his primary areas of study.
In the subject of general Control theory, his work in Control theory, Output feedback and Robustness is often linked to Parametric statistics and Parametrization, thereby combining diverse domains of study.
His research integrates issues of Linear matrix inequality, Linear system, Applied mathematics and Frequency domain in his study of Quadratic equation.
His Linear matrix inequality research incorporates elements of Space, Mathematical analysis and Quadratic programming.
His Mathematical optimization research is multidisciplinary, incorporating elements of State and Relaxation.
His Robust control study combines topics from a wide range of disciplines, such as Lyapunov function and Piecewise.
Between 2014 and 2021, his most popular works were:
- Robust stability and performance analysis based on integral quadratic constraints (61 citations)
- Robust data-driven state-feedback design (33 citations)
- Combining Prior Knowledge and Data for Robust Controller Design. (16 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Mathematical analysis
His main research concerns Quadratic equation, Control theory, Mathematical optimization, Stability and Linear matrix inequality.
As a part of the same scientific family, Carsten W. Scherer mostly works in the field of Quadratic equation, focusing on Frequency domain and, on occasion, Linear system, State and Lyapunov function.
His Control theory study frequently links to adjacent areas such as Multiplier.
Carsten W. Scherer interconnects Structure and Algorithm design in the investigation of issues within Mathematical optimization.
Carsten W. Scherer combines subjects such as Simple, Robust control and Extension with his study of Stability.
His Linear matrix inequality research is multidisciplinary, incorporating perspectives in Space and Quadratic programming.
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