2013 - IEEE Fellow For contributions to optimization-based robust controller synthesis
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.
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, 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.
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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Multiobjective output-feedback control via LMI optimization
C. Scherer;P. Gahinet;M. Chilali.
IEEE Transactions on Automatic Control (1997)
Linear Matrix Inequalities in Control
CW Scherer;S Siep Weiland.
The Control Systems Handbook, Second Edition: Control System Advanced Methods (2011)
LPV control and full block multipliers
C. W. Scherer.
Control of linear parameter varying systems with applications
Javad Mohammadpour;Carsten W Scherer.
Matrix Sum-of-Squares Relaxations for Robust Semi-Definite Programs
C. W. Scherer;C. W. J. Hol.
Mathematical Programming (2006)
LMI relaxations in robust control
Carsten W. Scherer.
European Journal of Control (2006)
Relaxations for Robust Linear Matrix Inequality Problems with Verifications for Exactness
C. W. Scherer.
SIAM Journal on Matrix Analysis and Applications (2005)
Multiobjective H/sub 2//H/sub /spl infin// control
IEEE Transactions on Automatic Control (1995)
Robust output-feedback controller design via local BMI optimization
S. Kanev;C. Scherer;M. Verhaegen;B. De Schutter.
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)
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