Page 365 - 8th European Congress of Mathematics ∙ 20-26 June 2021 ∙ Portorož, Slovenia ∙ Book of Abstracts
P. 365
Minisymposium
RATIONAL APPROXIMATION FOR DATA-DRIVEN
MODELING AND COMPLEXITY REDUCTION OF
LINEAR AND NONLINEAR DYNAMICAL SYSTEMS
(MS-69)
Organized by Sanda Lefteriu, IMT Lille Douai, France
Coorganized by Ion Victor Gosea, Max Planck Institute, Magdeburg, Germany
• The Loewner Framework: An overview and recent results, Athanasios C. Antoulas
• Model order reduction approach for problems with moving discontinuous features,
Harshit Bansal
• Inf-Sup-Constant-Free State Error Estimator for Model Order Reduction of Parametric
Systems in Electromagnetics, Sridhar Chellappa
• On improving the data collection step for data driven modeling methods, Karim Cherifi
• Physics-based reduced basis methods for CAD in time-harmonic Maxwell’s equations,
Valentin de la Rubia
• Numerical aspects of the Koopman and the dynamic mode decomposition for model
reduction, Zlatko Drmacˇ
• Barycentric Hermite interpolation and its application to data-driven model reduction,
Ion Victor Gosea
• Algorithms for identification and reduction of nonlinear dynamical systems from
time-domain data, Dimitrios S. Karachalios
• Rational interpolation and model order reduction for data-driven controller design,
Pauline Kergus
• Comparison of greedy-type approaches involving the Loewner matrix for rational
modeling, Sanda Lefteriu
• Input-tailored moment matching – a system-theoretic model reduction method for
nonlinear systems, Björn Liljegren Sailer
• The use of rational approximation for linearization of models that are nonlinear in the
frequency, Karl Meerbergen
• Mixed interpolatory and inference for non-intrusive reduced order nonlinear modelling,
Charles Poussot-Vassal
• Dynamic neural networks and model order reduction for the simulation of electronic
circuits, Wil Schilders
• Structured Realization Based on Time-Domain Data, Philipp Schulze
• Structure Preserving Model Order Reduction by Parameter Optimization,
Paul Schwerdtner
• Spurious poles, Nick Trefethen
• Interpolatory Model Reduction in H∞-Controller Design, Matthias Voigt
• Structure-Preserving Interpolation for Bilinear Systems, Steffen W. R. Werner
RATIONAL APPROXIMATION FOR DATA-DRIVEN
MODELING AND COMPLEXITY REDUCTION OF
LINEAR AND NONLINEAR DYNAMICAL SYSTEMS
(MS-69)
Organized by Sanda Lefteriu, IMT Lille Douai, France
Coorganized by Ion Victor Gosea, Max Planck Institute, Magdeburg, Germany
• The Loewner Framework: An overview and recent results, Athanasios C. Antoulas
• Model order reduction approach for problems with moving discontinuous features,
Harshit Bansal
• Inf-Sup-Constant-Free State Error Estimator for Model Order Reduction of Parametric
Systems in Electromagnetics, Sridhar Chellappa
• On improving the data collection step for data driven modeling methods, Karim Cherifi
• Physics-based reduced basis methods for CAD in time-harmonic Maxwell’s equations,
Valentin de la Rubia
• Numerical aspects of the Koopman and the dynamic mode decomposition for model
reduction, Zlatko Drmacˇ
• Barycentric Hermite interpolation and its application to data-driven model reduction,
Ion Victor Gosea
• Algorithms for identification and reduction of nonlinear dynamical systems from
time-domain data, Dimitrios S. Karachalios
• Rational interpolation and model order reduction for data-driven controller design,
Pauline Kergus
• Comparison of greedy-type approaches involving the Loewner matrix for rational
modeling, Sanda Lefteriu
• Input-tailored moment matching – a system-theoretic model reduction method for
nonlinear systems, Björn Liljegren Sailer
• The use of rational approximation for linearization of models that are nonlinear in the
frequency, Karl Meerbergen
• Mixed interpolatory and inference for non-intrusive reduced order nonlinear modelling,
Charles Poussot-Vassal
• Dynamic neural networks and model order reduction for the simulation of electronic
circuits, Wil Schilders
• Structured Realization Based on Time-Domain Data, Philipp Schulze
• Structure Preserving Model Order Reduction by Parameter Optimization,
Paul Schwerdtner
• Spurious poles, Nick Trefethen
• Interpolatory Model Reduction in H∞-Controller Design, Matthias Voigt
• Structure-Preserving Interpolation for Bilinear Systems, Steffen W. R. Werner
