A comparative study of 7 algorithms for model reduction. - Serkan Gugercin; Athanasios C. Antoulas (CDC, 2000)

Approximation of the International Space Station 1R and 12A models. - Serkan Gugercin; Athanasios C. Antoulas; Nazareth Bedrossian (CDC, 2001)

A new approach to model reduction which preserves stability and passivity: an overview. - Athanasios C. Antoulas; Serkan Gugercin (CDC, 2002)

An H2 error expression for the Lanczos procedure. - Serkan Gugercin; Athanasios C. Antoulas (CDC, 2003)

A time-limited balanced reduction method. - Serkan Gugercin; Athanasios C. Antoulas (CDC, 2003)

A survey of balancing methods for model reduction. - Serkan Gugercin; Athanasios C. Antoulas (ECC, 2003)

A Modified Low-Rank Smith Method for Large-Scale Lyapunov Equations. - Serkan Gugercin; Danny C. Sorensen; Athanasios C. Antoulas (Numer. Algorithms, 2003)

An approach to identification for robust control. - Serkan Gugercin; Athanasios C. Antoulas; H. P. Zhang (IEEE Trans. Autom. Control., 2003)

Krylov-based controller reduction for large-scale systems. - Serkan Gugercin; Athanasios C. Antoulas; Christopher A. Beattie; Eduardo Gildin (CDC, 2004)

Krylov-based model reduction of second-order systems with proportional damping. - Christopher A. Beattie; Serkan Gugercin (CDC/ECC, 2005)

An iterative SVD-Krylov based method for model reduction of large-scale dynamical systems. - Serkan Gugercin (CDC/ECC, 2005)

A Domain Decomposition Approach to POD. - Christopher A. Beattie; Jeff Borggaard; Serkan Gugercin; Traian Iliescu (CDC, 2006)

Inexact Solves in Krylov-based Model Reduction. - Christopher A. Beattie; Serkan Gugercin (CDC, 2006)

Krylov-based minimization for optimal H2 model reduction. - Christopher A. Beattie; Serkan Gugercin (CDC, 2007)

Interpolation theory for structure-preserving model reduction. - Christopher A. Beattie; Serkan Gugercin (CDC, 2008)

Krylov projection framework for Fourier model reduction. - Serkan Gugercin; Karen Willcox (Autom., 2008)

H2 Model Reduction for Large-Scale Linear Dynamical Systems. - Serkan Gugercin; Athanasios C. Antoulas; Christopher A. Beattie (SIAM J. Matrix Anal. Appl., 2008)

A trust region method for optimal H2 model reduction. - Christopher A. Beattie; Serkan Gugercin (CDC, 2009)

Interpolation-based H2 model reduction for port-Hamiltonian systems. - Serkan Gugercin; Rostyslav V. Polyuga; Christopher A. Beattie; Arjan van der Schaft (CDC, 2009)

Interpolatory projection methods for structure-preserving model reduction. - Christopher A. Beattie; Serkan Gugercin (Syst. Control. Lett., 2009)

An interpolation-based approach to ℋ∞ model reduction of dynamical systems. - Garret M. Flagg; Serkan Gugercin; Christopher A. Beattie (CDC, 2010)

Rational Krylov methods for optimal ℒ2 model reduction. - Caleb Magruder; Christopher A. Beattie; Serkan Gugercin (CDC, 2010)

Structure-preserving model reduction for nonlinear port-Hamiltonian systems. - Christopher A. Beattie; Serkan Gugercin (CDC/ECC, 2011)

Interpolatory Projection Methods for Parameterized Model Reduction. - Ulrike Baur; Christopher A. Beattie; Peter Benner; Serkan Gugercin (SIAM J. Sci. Comput., 2011)

A note on shifted Hessenberg systems and frequency response computation. - Christopher A. Beattie; Zlatko Drmac; Serkan Gugercin (ACM Trans. Math. Softw., 2011)

Model reduction for indoor-air behavior in control design for energy-efficient buildings. - Jeff Borggaard; Eugene M. Cliff; Serkan Gugercin (ACC, 2012)

Realization-independent ℌ2-approximation. - Christopher A. Beattie; Serkan Gugercin (CDC, 2012)

Structure-preserving tangential interpolation for model reduction of port-Hamiltonian systems. - Serkan Gugercin; Rostyslav V. Polyuga; Christopher A. Beattie; Arjan van der Schaft (Autom., 2012)

Interpolatory Weighted-H2 Model Reduction - Branimir Anic; Christopher A. Beattie; Serkan Gugercin; Athanasios C. Antoulas (CoRR, 2012)

On the ADI method for the Sylvester Equation and the optimal-$ mathcal{H}_2$ points - Garret M. Flagg; Serkan Gugercin (CoRR, 2012)

Convergence of the Iterative Rational Krylov Algorithm. - Garret M. Flagg; Christopher A. Beattie; Serkan Gugercin (Syst. Control. Lett., 2012)

Recycling BiCG with an Application to Model Reduction. - Kapil Ahuja; Eric de Sturler; Serkan Gugercin; Eun R. Chang (SIAM J. Sci. Comput., 2012)

Interpolatory weighted-H2H2 model reduction. - Branimir Anic; Christopher A. Beattie; Serkan Gugercin; Athanasios C. Antoulas (Autom., 2013)

Multipoint Volterra Series Interpolation and H2 Optimal Model Reduction of Bilinear Systems. - Garret M. Flagg; Serkan Gugercin (CoRR, 2013)

Interpolatory H∞H∞ model reduction. - Garret M. Flagg; Christopher A. Beattie; Serkan Gugercin (Syst. Control. Lett., 2013)

Model Reduction of Descriptor Systems by Interpolatory Projection Methods. - Serkan Gugercin; Tatjana Stykel; Sarah Wyatt (SIAM J. Sci. Comput., 2013)

Model Reduction by Rational Interpolation. - Christopher A. Beattie; Serkan Gugercin (CoRR, 2014)

Model Reduction for DAEs with an Application to Flow Control. - Jeff Borggaard; Serkan Gugercin (CoRR, 2014)

Quadrature-Based Vector Fitting: Implications For H2 System Approximation. - Zlatko Drmac; Serkan Gugercin; Christopher A. Beattie (CoRR, 2014)

Near-optimal frequency-weighted interpolatory model reduction. - Tobias Breiten; Christopher A. Beattie; Serkan Gugercin (Syst. Control. Lett., 2015)

Multipoint Volterra Series Interpolation and H2 Optimal Model Reduction of Bilinear Systems. - Garret M. Flagg; Serkan Gugercin (SIAM J. Matrix Anal. Appl., 2015)

A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems. - Peter Benner; Serkan Gugercin; Karen Willcox (SIAM Rev., 2015)

Quadrature-Based Vector Fitting for Discretized H2 Approximation. - Zlatko Drmac; Serkan Gugercin; Christopher A. Beattie (SIAM J. Sci. Comput., 2015)

Vector Fitting for Matrix-valued Rational Approximation. - Zlatko Drmac; Serkan Gugercin; Christopher Beattie (SIAM J. Sci. Comput., 2015)

Nonlinear Parametric Inversion Using Interpolatory Model Reduction. - Eric de Sturler; Serkan Gugercin; Misha Elena Kilmer; Saifon Chaturantabut; Christopher A. Beattie; Meghan O'Connell (SIAM J. Sci. Comput., 2015)

Feedback stabilization of fluids using reduced-order models for control and compensator design. - Jeff Borggaard; Serkan Gugercin; Lizette Zietsman (CDC, 2016)

Model Reduction for Large-scale Dynamical Systems with Inhomogeneous Initial Conditions. - Christopher A. Beattie; Serkan Gugercin; Volker Mehrmann (CoRR, 2016)

Interpolatory methods for H∞ model reduction of multi-input/multi-output systems. - Alessandro Castagnotto; Christopher Beattie; Serkan Gugercin (CoRR, 2016)

Data-driven Structured Realization. - Philipp Schulze; Benjamin Unger; Christopher A. Beattie; Serkan Gugercin (CoRR, 2016)

Structure-Preserving Model Reduction for Nonlinear Port-Hamiltonian Systems. - Saifon Chaturantabut; Christopher A. Beattie; Serkan Gugercin (SIAM J. Sci. Comput., 2016)

A New Selection Operator for the Discrete Empirical Interpolation Method - Improved A Priori Error Bound and Extensions. - Zlatko Drmac; Serkan Gugercin (SIAM J. Sci. Comput., 2016)

Linear time-periodic dynamical systems: An H2 analysis and a model reduction framework. - Caleb C. Magruder; Serkan Gugercin; Christopher A. Beattie (CoRR, 2017)

Model reduction for systems with inhomogeneous initial conditions. - Christopher Beattie; Serkan Gugercin; Volker Mehrmann (Syst. Control. Lett., 2017)

Computing Reduced Order Models via Inner-Outer Krylov Recycling in Diffuse Optical Tomography. - Meghan O'Connell; Misha E. Kilmer; Eric de Sturler; Serkan Gugercin (SIAM J. Sci. Comput., 2017)

Data-Driven Reduced Model Construction with Time-Domain Loewner Models. - Benjamin Peherstorfer; Serkan Gugercin; Karen Willcox (SIAM J. Sci. Comput., 2017)

Interpolatory model reduction of parameterized bilinear dynamical systems. - Andrea Carracedo Rodriguez; Serkan Gugercin; Jeff Borggaard (Adv. Comput. Math., 2018)

Damping optimization of parameter dependent mechanical systems by rational interpolation. - Zoran Tomljanovic; Christopher Beattie; Serkan Gugercin (Adv. Comput. Math., 2018)

H2(tf) Optimality Conditions for a Finite-time Horizon. - Klajdi Sinani; Serkan Gugercin (CoRR, 2018)

H2-Quasi-Optimal Model Order Reduction for Quadratic-Bilinear Control Systems. - Peter Benner; Pawan Goyal 003; Serkan Gugercin (SIAM J. Matrix Anal. Appl., 2018)

Kolmogorov n-widths for linear dynamical systems. - Benjamin Unger; Serkan Gugercin (Adv. Comput. Math., 2019)

H2(tf) optimality conditions for a finite-time horizon. - Klajdi Sinani; Serkan Gugercin (Autom., 2019)

H2-gap model reduction for stabilizable and detectable systems. - Tobias Breiten; Christopher A. Beattie; Serkan Gugercin (CoRR, 2019)

Structure-preserving Interpolatory Model Reduction for Port-Hamiltonian Differential-Algebraic Systems. - Christopher A. Beattie; Serkan Gugercin; Volker Mehrmann (CoRR, 2019)

Revisiting IRKA: Connections with pole placement and backward stability. - Christopher Beattie; Zlatko Drmac; Serkan Gugercin (CoRR, 2019)

Sampling-free parametric model reduction for structured systems. - Christopher Beattie; Serkan Gugercin; Zoran Tomljanovic (CoRR, 2019)

Estimating Dispersion Curves from Frequency Response Functions via Vector-Fitting. - Mohammad I. Albakri; Vijaya V. N. Sriram Malladi; Serkan Gugercin; Pablo A. Tarazaga (CoRR, 2019)

Sampling-free model reduction of systems with low-rank parameterization. - Christopher Beattie; Serkan Gugercin; Zoran Tomljanovic (Adv. Comput. Math., 2020)

The p-AAA algorithm for data driven modeling of parametric dynamical systems. - Andrea Carracedo Rodriguez; Serkan Gugercin (CoRR, 2020)

The AAA framework for modeling linear dynamical systems with quadratic output. - Ion Victor Gosea; Serkan Gugercin (CoRR, 2020)

Randomization for the Efficient Computation of Parametric Reduced Order Models for Inversion. - Selin S. Aslan; Eric de Sturler; Serkan Gugercin (CoRR, 2020)

The balanced truncation bound is tight for SISO systems when the truncated system is state-space symmetric. - Sean Reiter; Mark Embree; Serkan Gugercin (CoRR, 2020)

Stability of Discrete Empirical Interpolation and Gappy Proper Orthogonal Decomposition with Randomized and Deterministic Sampling Points. - Benjamin Peherstorfer; Zlatko Drmac; Serkan Gugercin (SIAM J. Sci. Comput., 2020)

Structure-preserving Model Reduction of Parametric Power Networks. - Bita Safaee; Serkan Gugercin (ACC, 2021)

Parametric model reduction via rational interpolation along parameters. - Ion Victor Gosea; Serkan Gugercin; Benjamin Unger (CDC, 2021)

Data-driven modeling of power networks1. - Bita Safaee; Serkan Gugercin (CDC, 2021)

Structure-preserving interpolation of bilinear control systems. - Peter Benner; Serkan Gugercin; Steffen W. R. Werner (Adv. Comput. Math., 2021)

Structure-preserving interpolation for model reduction of parametric bilinear systems. - Peter Benner; Serkan Gugercin; Steffen W. R. Werner (Autom., 2021)

Estimating Experimental Dispersion Curves from Steady-State Frequency Response Measurements. - V. V. N. Sriram Malladi; Mohammad I. Albakri; Manu Krishnan; Serkan Gugercin; Pablo A. Tarazaga (CoRR, 2021)

Data-driven modeling of power networks. - Bita Safaee; Serkan Gugercin (CoRR, 2021)

Structured vector fitting framework for mechanical systems. - Steffen W. R. Werner; Ion Victor Gosea; Serkan Gugercin (CoRR, 2021)

Preconditioning Parametrized Linear Systems. - Arielle Carr; Eric de Sturler; Serkan Gugercin (SIAM J. Sci. Comput., 2021)

Towards context-aware learning for control: Balancing stability and model-learning error. - Nitin Shyamkumar; Serkan Gugercin; Benjamin Peherstorfer (ACC, 2022)

Structure-Preserving Model Reduction for Nonlinear Power Grid Network. - Bita Safaee; Serkan Gugercin (CoRR, 2022)

L2-optimal Reduced-order Modeling Using Parameter-separable Forms. - Petar Mlinaric; Serkan Gugercin (CoRR, 2022)

A Unifying Framework for Interpolatory $ mathcal{L}_2$-optimal Reduced-order Modeling. - Petar Mlinaric; Serkan Gugercin (CoRR, 2022)

Data-Driven Modeling of Linear Dynamical Systems with Quadratic Output in the AAA Framework. - Ion Victor Gosea; Serkan Gugercin (J. Sci. Comput., 2022)

Model Reduction of Linear Dynamical Systems via Balancing for Bayesian Inference. - Elizabeth Qian; Jemima M. Tabeart; Christopher Beattie; Serkan Gugercin; Jiahua Jiang; Peter R. Kramer; Akil Narayan 001 (J. Sci. Comput., 2022)

Data-Driven Balancing of Linear Dynamical Systems. - Ion Victor Gosea; Serkan Gugercin; Christopher Beattie (SIAM J. Sci. Comput., 2022)

Nonlinear Balanced Truncation: Part 2 - Model Reduction on Manifolds. - Boris Kramer; Serkan Gugercin; Jeff Borggaard (CoRR, 2023)

Interpolatory H2-optimality Conditions for Structured Linear Time-invariant Systems. - Petar Mlinaric; Peter Benner; Serkan Gugercin (CoRR, 2023)

Generalizations of data-driven balancing: what to sample for different balancing-based reduced models. - Sean Reiter; Ion Victor Gosea; Serkan Gugercin (CoRR, 2023)

( boldsymbol{ mathcal{L}_2} )-Optimal Reduced-Order Modeling Using Parameter-Separable Forms. - Petar Mlinaric; Serkan Gugercin (SIAM J. Sci. Comput., 2023)

Contour Integral Methods for Nonlinear Eigenvalue Problems: A Systems Theoretic Approach. - Michael C. Brennan; Mark Embree; Serkan Gugercin (SIAM Rev., 2023)

The p-AAA Algorithm for Data-Driven Modeling of Parametric Dynamical Systems. - Andrea Carracedo Rodriguez; Linus Balicki; Serkan Gugercin (SIAM J. Sci. Comput., 2023)

A Unifying Framework for Interpolatory ({ boldsymbol{ mathcal{L}_2}} )-Optimal Reduced-Order Modeling. - Petar Mlinaric; Serkan Gugercin (SIAM J. Numer. Anal., 2023)

A unifying framework for tangential interpolation of structured bilinear control systems. - Peter Benner; Serkan Gugercin; Steffen W. R. Werner (Numerische Mathematik, 2023)

Interpolatory Necessary Optimality Conditions for Reduced-order Modeling of Parametric Linear Time-invariant Systems. - Petar Mlinaric; Peter Benner; Serkan Gugercin (CoRR, 2024)

𝓗2 optimal model reduction of linear systems with multiple quadratic outputs. - Sean Reiter; Igor Pontes Duff; Ion Victor Gosea; Serkan Gugercin (CoRR, 2024)

A non-intrusive data-based reformulation of a hybrid projection-based model reduction method. - Ion Victor Gosea; Serkan Gugercin; Christopher Beattie (CoRR, 2024)

Empirical sparse regression on quadratic manifolds. - Paul Schwerdtner; Serkan Gugercin; Benjamin Peherstorfer (CoRR, 2024)

On the balanced truncation error bound and sign parameters from arrowhead realizations. - Sean Reiter; Tobias Damm; Mark Embree; Serkan Gugercin (Adv. Comput. Math., 2024)

Structured interpolation for multivariate transfer functions of quadratic-bilinear systems. - Peter Benner; Serkan Gugercin; Steffen W. R. Werner (Adv. Comput. Math., 2024)

Structured barycentric forms for interpolation-based data-driven reduced modeling of second-order systems. - Ion Victor Gosea; Serkan Gugercin; Steffen W. R. Werner (Adv. Comput. Math., 2024)

Energy-based approximation of linear systems with polynomial outputs. - Linus Balicki; Serkan Gugercin (Syst. Control. Lett., 2025)

Balanced truncation with conformal maps. - Alessandro Borghi; Tobias Breiten; Serkan Gugercin (Syst. Control. Lett., 2025)

Interpolatory ( boldsymbol {{ mathcal {H}}_{2}} )-optimality Conditions for Structured Linear Time-invariant Systems. - Petar Mlinaric; Peter Benner; Serkan Gugercin (SIAM J. Numer. Anal., 2025)

Frequency-Based Reduced Models from Purely Time-Domain Data via Data Informativity. - Michael S. Ackermann; Serkan Gugercin (SIAM J. Sci. Comput., 2025)

Time-Domain Iterative Rational Krylov Method. - Michael S. Ackermann; Serkan Gugercin (SIAM J. Sci. Comput., 2025)

Multivariate Rational Approximation via Low-Rank Tensors and the p-AAA Algorithm. - Linus Balicki; Serkan Gugercin (CoRR, 2025)

ℋ2-optimal model reduction of linear quadratic-output systems by multivariate rational interpolation. - Sean Reiter; Ion Victor Gosea; Igor Pontes Duff; Serkan Gugercin (CoRR, 2025)

IRKA Is a Riemannian Gradient Descent Method. - Petar Mlinaric; Christopher A. Beattie; Zlatko Drmac; Serkan Gugercin (IEEE Trans. Autom. Control., 2025)

Second-order AAA algorithms for structured data-driven modeling. - Michael S. Ackermann; Ion Victor Gosea; Serkan Gugercin; Steffen W. R. Werner (CoRR, 2025)

Bilinear Quadratic Output Systems and Balanced Truncation. - Heike Faßbender; Serkan Gugercin; Till Peters (CoRR, 2025)