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- Carsten W. Scherer

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D-index
D-index (Discipline H-index) only includes papers and citation values for an examined
discipline in contrast to General H-index which accounts for publications across all
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Citations
Publications
World Ranking
National Ranking

Electronics and Electrical Engineering
D-index
31
Citations
8,150
127
World Ranking
3234
National Ranking
101

2013 - IEEE Fellow For contributions to optimization-based robust controller synthesis

- 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.

- Multiobjective output-feedback control via LMI optimization (2078 citations)
- LPV control and full block multipliers (520 citations)
- Linear Matrix Inequalities in Control (445 citations)

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.

- Control theory (63.55%)
- Robust control (31.78%)
- Mathematical optimization (31.31%)

- Control theory (63.55%)
- Quadratic equation (23.36%)
- Stability (11.21%)

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.

- 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)

- 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.

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.

Multiobjective output-feedback control via LMI optimization

C. Scherer;P. Gahinet;M. Chilali.

IEEE Transactions on Automatic Control **(1997)**

2996 Citations

Linear Matrix Inequalities in Control

CW Scherer;S Siep Weiland.

The Control Systems Handbook, Second Edition: Control System Advanced Methods **(2011)**

698 Citations

LPV control and full block multipliers

C. W. Scherer.

Automatica **(2001)**

675 Citations

Control of linear parameter varying systems with applications

Javad Mohammadpour;Carsten W Scherer.

**(2012)**

441 Citations

Matrix Sum-of-Squares Relaxations for Robust Semi-Definite Programs

C. W. Scherer;C. W. J. Hol.

Mathematical Programming **(2006)**

350 Citations

LMI relaxations in robust control

Carsten W. Scherer.

European Journal of Control **(2006)**

345 Citations

Relaxations for Robust Linear Matrix Inequality Problems with Verifications for Exactness

C. W. Scherer.

SIAM Journal on Matrix Analysis and Applications **(2005)**

250 Citations

Multiobjective H/sub 2//H/sub /spl infin// control

C.W. Scherer.

IEEE Transactions on Automatic Control **(1995)**

238 Citations

Robust output-feedback controller design via local BMI optimization

S. Kanev;C. Scherer;M. Verhaegen;B. De Schutter.

Automatica **(2004)**

206 Citations

LPV control for a wafer stage: beyond the theoretical solution

Matthijs Groot Wassink;Marc van de Wal;Carsten Scherer;Okko Bosgra.

Control Engineering Practice **(2005)**

204 Citations

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