Pages that link to "Item:Q998198"

The following pages link to A framework for the solution of the generalized realization problem (Q998198):

Displaying 50 items.

• Interpolation with constraint on frequency region and systems \& control application (Q344996) (← links)
• Data-driven interpolation of dynamical systems with delay (Q345011) (← links)
• Interpolatory \(H_\infty \) model reduction (Q386242) (← links)
• A structured quasi-Arnoldi procedure for model order reduction of second-order systems (Q413525) (← links)
• On two-variable rational interpolation (Q413540) (← links)
• Inexact solves in interpolatory model reduction (Q413543) (← links)
• System identification of microwave filters from multiplexers by rational interpolation (Q503202) (← links)
• Model reduction for systems with inhomogeneous initial conditions (Q503835) (← links)
• Krylov subspace-based model reduction for a class of bilinear descriptor systems (Q729873) (← links)
• A reformulation of augmented basic interpolation problem and an application to \(\mathcal{H}_\infty\) control (Q745186) (← links)
• The Loewner framework and transfer functions of singular/rectangular systems (Q899483) (← links)
• Interpolatory projection methods for structure-preserving model reduction (Q1016603) (← links)
• \(\mathcal{H}_2\)-optimal model approximation by input/output-delay structured reduced order models (Q1645082) (← links)
• On multivariable proper rational interpolation using coprime factors (Q1659557) (← links)
• Data-driven structured realization (Q1675667) (← links)
• Projection-based model reduction: formulations for physics-based machine learning (Q1739759) (← links)
• Interpolatory model reduction of parameterized bilinear dynamical systems (Q1756926) (← links)
• Minimal realization and approximation of commensurate linear fractional-order systems via Loewner matrix method (Q1981029) (← links)
• Preserving the DAE structure in the Loewner model reduction and identification framework (Q1987738) (← links)
• Machine learning of multiscale active force generation models for the efficient simulation of cardiac electromechanics (Q2020283) (← links)
• Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms (Q2021063) (← links)
• Sampling-free model reduction of systems with low-rank parameterization (Q2026127) (← links)
• Structure-preserving interpolation of bilinear control systems (Q2044102) (← links)
• Operator inference of non-Markovian terms for learning reduced models from partially observed state trajectories (Q2050562) (← links)
• Towards data-driven model reduction of the Navier-Stokes equations using the Loewner framework (Q2094195) (← links)
• Data-driven modeling of linear dynamical systems with quadratic output in the AAA framework (Q2113660) (← links)
• Model reduction with pole-zero placement and high order moment matching (Q2123208) (← links)
• An overview on recent machine learning techniques for port Hamiltonian systems (Q2127392) (← links)
• An efficient, memory-saving approach for the Loewner framework (Q2144964) (← links)
• Automatic model order reduction for systems with frequency-dependent material properties (Q2145116) (← links)
• Passivity preserving model reduction via spectral factorization (Q2151882) (← links)
• On the rational approximation of Markov functions, with applications to the computation of Markov functions of Toeplitz matrices (Q2163448) (← links)
• Data-driven constrained optimal model reduction (Q2198730) (← links)
• Identification of port-Hamiltonian systems from frequency response data (Q2203466) (← links)
• Machine learning for fast and reliable solution of time-dependent differential equations (Q2222523) (← links)
• Data-driven operator inference for nonintrusive projection-based model reduction (Q2309194) (← links)
• Model order reduction for a family of linear systems with applications in parametric and uncertain systems (Q2343662) (← links)
• Data-driven model reduction by moment matching for linear and nonlinear systems (Q2409366) (← links)
• Families of moment matching based, low order approximations for linear systems (Q2440033) (← links)
• A general approach to multivariable recursive interpolation (Q2663311) (← links)
• Operator inference and physics-informed learning of low-dimensional models for incompressible flows (Q2672189) (← links)
• A non-intrusive method to inferring linear port-Hamiltonian realizations using time-domain data (Q2672195) (← links)
• Physics-informed regularization and structure preservation for learning stable reduced models from data with operator inference (Q2678552) (← links)
• Numerical Linear Algebra Methods for Linear Differential-Algebraic Equations (Q2795641) (← links)
• A survey of projection-based model reduction methods for parametric dynamical systems (Q2808259) (← links)
• Model reduction of bilinear systems in the Loewner framework (Q2830573) (← links)
• Tangential interpolation-based eigensystem realization algorithm for MIMO systems (Q2831097) (← links)
• Stability radii for linear Hamiltonian systems with dissipation under structure-preserving perturbations (Q2834693) (← links)
• New interpolation solution and application in system modeling and optimal control with prescribed distance to instability (Q3187880) (← links)
• 6 The Loewner framework for system identification and reduction (Q3384276) (← links)