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Peter Benner
Person information
- affiliation: University of Magdeburg, Germany
- affiliation: Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany
- affiliation: TU Chemnitz, Germany
- affiliation (1997 - 2001): University of Bremen, Germany
- affiliation (PhD 1997): TU Chemnitz, Germany
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2020 – today
- 2025
- [j171]Kang-Li Xu, Zhen Li, Peter Benner:
Parametric Interpolation Model Order Reduction on Grassmann Manifolds by Parallelization. IEEE Trans. Circuits Syst. II Express Briefs 72(1): 198-202 (2025) - 2024
- [j170]Peter Benner, Serkan Gugercin, Steffen W. R. Werner:
Structured interpolation for multivariate transfer functions of quadratic-bilinear systems. Adv. Comput. Math. 50(2): 18 (2024) - [j169]Pawan Goyal, Igor Pontes Duff, Peter Benner:
Dominant subspaces of high-fidelity polynomial structured parametric dynamical systems and model reduction. Adv. Comput. Math. 50(3): 42 (2024) - [j168]Jennifer Przybilla, Igor Pontes Duff, Peter Benner:
Semi-active damping optimization of vibrational systems using the reduced basis method. Adv. Comput. Math. 50(3): 56 (2024) - [j167]Peter Benner, Pawan Goyal:
Balanced truncation for quadratic-bilinear control systems. Adv. Comput. Math. 50(4): 88 (2024) - [j166]Lihong Feng, Sridhar Chellappa, Peter Benner:
A posteriori error estimation for model order reduction of parametric systems. Adv. Model. Simul. Eng. Sci. 11(1): 5 (2024) - [j165]Alexander Zuyev, Lihong Feng, Peter Benner:
Estimates of the Kolmogorov n-Width for Nonlinear Transformations With Application to Distributed-Parameter Control Systems. IEEE Control. Syst. Lett. 8: 1877-1882 (2024) - [j164]Yevgeniia Yevgenieva, Alexander L. Zuyev, Peter Benner, Andreas Seidel-Morgenstern:
Periodic Optimal Control of a Plug Flow Reactor Model with an Isoperimetric Constraint. J. Optim. Theory Appl. 202(2): 582-604 (2024) - [j163]Jennifer Przybilla, Igor Pontes Duff, Peter Benner:
Model reduction for second-order systems with inhomogeneous initial conditions. Syst. Control. Lett. 183: 105671 (2024) - [j162]Peter Benner, Pawan Goyal, Paul Van Dooren:
Parameterized Interpolation of Passive Systems. SIAM J. Matrix Anal. Appl. 45(2): 1035-1053 (2024) - [j161]Pawan Goyal, Benjamin Peherstorfer, Peter Benner:
Rank-Minimizing and Structured Model Inference. SIAM J. Sci. Comput. 46(3): 1879- (2024) - [d29]Jennifer Przybilla, Igor Pontes Duff, Peter Benner:
Model reduction for systems in non-standard form. Zenodo, 2024 - [i100]Petar Mlinaric, Peter Benner, Serkan Gugercin:
Interpolatory Necessary Optimality Conditions for Reduced-order Modeling of Parametric Linear Time-invariant Systems. CoRR abs/2401.10047 (2024) - [i99]B. Baran, Peter Benner, Jens Saak, Tony Stillfjord:
Numerical methods for closed-loop systems with non-autonomous data. CoRR abs/2402.13656 (2024) - [i98]Ion Victor Gosea, Luisa Peterson, Pawan Goyal, Jens Bremer, Kai Sundmacher, Peter Benner:
Learning reduced-order Quadratic-Linear models in Process Engineering using Operator Inference. CoRR abs/2402.17698 (2024) - [i97]Igor Pontes Duff, Pawan Goyal, Peter Benner:
Stability-Certified Learning of Control Systems with Quadratic Nonlinearities. CoRR abs/2403.00646 (2024) - [i96]Pavan L. Veluvali, Jan Heiland, Peter Benner:
MaRDIFlow: A CSE workflow framework for abstracting meta-data from FAIR computational experiments. CoRR abs/2405.00028 (2024) - [i95]Ali Forootani, Peter Benner:
GN-SINDy: Greedy Sampling Neural Network in Sparse Identification of Nonlinear Partial Differential Equations. CoRR abs/2405.08613 (2024) - [i94]Mohammad Khorrami, Pawan Goyal, Jaber Rezaei Mianroodi, Bob Svendsen, Peter Benner, Dierk Raabe:
Divergence-free neural operators for stress field modeling in polycrystalline materials. CoRR abs/2408.15408 (2024) - [i93]Celine Reddig, Pawan Goyal, Igor Pontes Duff, Peter Benner:
Active Sampling of Interpolation Points to Identify Dominant Subspaces for Model Reduction. CoRR abs/2409.03892 (2024) - [i92]Süleyman Yildiz, Pawan Goyal, Peter Benner:
Structure-preserving learning for multi-symplectic PDEs. CoRR abs/2409.10432 (2024) - [i91]Shuwen Sun, Lihong Feng, Peter Benner:
Data-Augmented Predictive Deep Neural Network: Enhancing the extrapolation capabilities of non-intrusive surrogate models. CoRR abs/2410.13376 (2024) - [i90]Sridhar Chellappa, Lihong Feng, Peter Benner:
Discrete empirical interpolation in the tensor t-product framework. CoRR abs/2410.14519 (2024) - 2023
- [j160]Kirandeep Kour, Sergey Dolgov, Martin Stoll, Peter Benner:
Efficient Structure-preserving Support Tensor Train Machine. J. Mach. Learn. Res. 24: 4:1-4:22 (2023) - [j159]Peter Benner, Davide Palitta, Jens Saak:
On an integrated Krylov-ADI solver for large-scale Lyapunov equations. Numer. Algorithms 92(1): 35-63 (2023) - [j158]Peter Benner, Jan Heiland, Steffen W. R. Werner:
A low-rank solution method for Riccati equations with indefinite quadratic terms. Numer. Algorithms 92(2): 1083-1103 (2023) - [j157]Vipin Kumar, Jan Heiland, Peter Benner:
Projective lag quasi-synchronization of coupled systems with mixed delays and parameter mismatch: a unified theory. Neural Comput. Appl. 35(32): 23649-23665 (2023) - [j156]Peter Benner, Serkan Gugercin, Steffen W. R. Werner:
A unifying framework for tangential interpolation of structured bilinear control systems. Numerische Mathematik 155(3-4): 445-483 (2023) - [j155]Vipin Kumar, Jan Heiland, Peter Benner:
Exponential Lag Synchronization of Cohen-Grossberg Neural Networks with Discrete and Distributed Delays on Time Scales. Neural Process. Lett. 55(7): 9907-9929 (2023) - [j154]Peter Benner, Yuji Nakatsukasa, Carolin Penke:
A Structure-Preserving Divide-and-Conquer Method for Pseudosymmetric Matrices. SIAM J. Matrix Anal. Appl. 44(3): 1245-1270 (2023) - [c71]Pavan L. Veluvali, Jan Heiland, Peter Benner:
MaRDIFlow: A Workflow Framework for Documentation and Integration of FAIR Computational Experiments. CoRDI 2023 - [c70]Peter Benner, Sergey Chuiko, Viktor Chuiko:
Adomian Decomposition Method in The Theory of Nonlinear Periodic Boundary Value Problems with Delay. DSMSI (1) 2023: 98-106 - [c69]Shaimaa Monem Abdelhafez, Peter Benner, Christian Lessig:
Improved Projective Dynamics Global Using Snapshots-based Reduced Bases. SIGGRAPH Posters 2023: 4:1-4:2 - [d28]Peter Benner, Jens Saak, Steffen W. R. Werner:
MORLAB - Model Order Reduction LABoratory. Version 6.0. Zenodo, 2023 [all versions] - [d27]Kathryn Lund, Jens Saak, Peter Benner:
mini-MORB (Model Order Reduction Benchmarker). Zenodo, 2023 - [d26]Jens Saak, Martin Köhler, Peter Benner:
M-M.E.S.S. - The Matrix Equation Sparse Solver Library. Version 3.0. Zenodo, 2023 [all versions] - [i89]Lihong Feng, Luigi Lombardi, Giulio Antonini, Peter Benner:
Multi-fidelity error estimation accelerates greedy model reduction of complex dynamical systems. CoRR abs/2301.05610 (2023) - [i88]Pawan Goyal, Igor Pontes Duff, Peter Benner:
Dominant Subspaces of High-Fidelity Nonlinear Structured Parametric Dynamical Systems and Model Reduction. CoRR abs/2301.09484 (2023) - [i87]Pawan Goyal, Igor Pontes Duff, Peter Benner:
Inference of Continuous Linear Systems from Data with Guaranteed Stability. CoRR abs/2301.10060 (2023) - [i86]Kirandeep Kour, Sergey Dolgov, Peter Benner, Martin Stoll, Max Pfeffer:
A weighted subspace exponential kernel for support tensor machines. CoRR abs/2302.08134 (2023) - [i85]Pawan Goyal, Benjamin Peherstorfer, Peter Benner:
Rank-Minimizing and Structured Model Inference. CoRR abs/2302.09521 (2023) - [i84]Peter Benner, Serkan Gugercin, Steffen W. R. Werner:
Structured interpolation for multivariate transfer functions of quadratic-bilinear systems. CoRR abs/2304.14292 (2023) - [i83]Shuwen Sun, Lihong Feng, Hoon Seng Chan, Tamara Milicic, Tanja Vidakovic-Koch, Peter Benner:
Parametric Dynamic Mode Decomposition for nonlinear parametric dynamical systems. CoRR abs/2305.06197 (2023) - [i82]Jingjing Zhang, Jan Heiland, Peter Benner, Xin Du:
Frequency-dependent Switching Control for Disturbance Attenuation of Linear Systems. CoRR abs/2306.01120 (2023) - [i81]Harshit Kapadia, Lihong Feng, Peter Benner:
Active-Learning-Driven Surrogate Modeling for Efficient Simulation of Parametric Nonlinear Systems. CoRR abs/2306.06174 (2023) - [i80]Peter Benner, Kathryn Lund, Jens Saak:
Towards a Benchmark Framework for Model Order Reduction in the Mathematical Research Data Initiative (MaRDI). CoRR abs/2307.00137 (2023) - [i79]Sridhar Chellappa, Lihong Feng, Peter Benner:
Accurate error estimation for model reduction of nonlinear dynamical systems via data-enhanced error closure. CoRR abs/2307.11138 (2023) - [i78]Süleyman Yildiz, Pawan Goyal, Thomas Bendokat, Peter Benner:
Data-Driven Identification of Quadratic Symplectic Representations of Nonlinear Hamiltonian Systems. CoRR abs/2308.01084 (2023) - [i77]Süleyman Yildiz, Pawan Goyal, Peter Benner:
Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems. CoRR abs/2308.02625 (2023) - [i76]Peter Benner, Pawan Goyal, Paul Van Dooren:
Parameterized Interpolation of Passive Systems. CoRR abs/2308.03500 (2023) - [i75]Pawan Goyal, Igor Pontes Duff, Peter Benner:
Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference. CoRR abs/2308.13819 (2023) - [i74]Pawan Goyal, Süleyman Yildiz, Peter Benner:
Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics. CoRR abs/2308.13835 (2023) - [i73]Ali Forootani, Pawan Goyal, Peter Benner:
A Robust SINDy Approach by Combining Neural Networks and an Integral Form. CoRR abs/2309.07193 (2023) - [i72]Petar Mlinaric, Peter Benner, Serkan Gugercin:
Interpolatory H2-optimality Conditions for Structured Linear Time-invariant Systems. CoRR abs/2310.10618 (2023) - [i71]Sridhar Chellappa, Baris Cansiz, Lihong Feng, Peter Benner, Michael Kaliske:
Fast and Reliable Reduced-Order Models for Cardiac Electrophysiology. CoRR abs/2311.06164 (2023) - 2022
- [j153]Muhammad Altaf Khattak, Mian Ilyas Ahmad, Lihong Feng, Peter Benner:
Multivariate moment-matching for model order reduction of quadratic-bilinear systems using error bounds. Adv. Model. Simul. Eng. Sci. 9(1): 23 (2022) - [j152]Julia Vettermann, Alexander Steinert, Christian Brecher, Peter Benner, Jens Saak:
Compact thermo-mechanical models for the fast simulation of machine tools with nonlinear component behavior. Autom. 70(8): 692-704 (2022) - [j151]Peter Benner, Jan Heiland, Steffen W. R. Werner:
Robust output-feedback stabilization for incompressible flows using low-dimensional ℋ∞ -controllers. Comput. Optim. Appl. 82(1): 225-249 (2022) - [j150]Jan Heiland, Peter Benner, Rezvan Bahmani:
Convolutional Neural Networks for Very Low-Dimensional LPV Approximations of Incompressible Navier-Stokes Equations. Frontiers Appl. Math. Stat. 8: 879140 (2022) - [j149]Peter Benner, Carolin Penke:
Efficient and accurate algorithms for solving the Bethe-Salpeter eigenvalue problem for crystalline systems. J. Comput. Appl. Math. 400: 113650 (2022) - [j148]Peter Benner, Xin Liang:
Convergence analysis of vector extended locally optimal block preconditioned extended conjugate gradient method for computing extreme eigenvalues. Numer. Linear Algebra Appl. 29(6) (2022) - [j147]Peter Benner, Yuji Nakatsukasa, Carolin Penke:
Stable and Efficient Computation of Generalized Polar Decompositions. SIAM J. Matrix Anal. Appl. 43(3): 1058-1083 (2022) - [j146]Hussam Al Daas, Grey Ballard, Peter Benner:
Parallel Algorithms for Tensor Train Arithmetic. SIAM J. Sci. Comput. 44(1): 25- (2022) - [j145]Peter Benner, Pawan Goyal, Igor Pontes Duff:
Gramians, Energy Functionals, and Balanced Truncation for Linear Dynamical Systems With Quadratic Outputs. IEEE Trans. Autom. Control. 67(2): 886-893 (2022) - [j144]Lihong Feng, Luigi Lombardi, Peter Benner, Daniele Romano, Giulio Antonini:
Model Order Reduction for Delayed PEEC Models With Guaranteed Accuracy and Observed Stability. IEEE Trans. Circuits Syst. I Regul. Pap. 69(10): 4177-4190 (2022) - [d25]Jan Heiland, Pawan Goyal, Igor Pontes Duff, Peter Benner:
Operator Inference for Quadratic Manifold Encodings. Zenodo, 2022 - [d24]Jens Saak, Martin Köhler, Peter Benner:
M-M.E.S.S. - The Matrix Equation Sparse Solver Library. Version 2.2. Zenodo, 2022 [all versions] - [i70]Peter Benner, Heike Faßbender, Michel-Niklas Senn:
The Hamiltonian Extended Krylov Subspace Method. CoRR abs/2202.12640 (2022) - [i69]Peter Benner, Yuji Nakatsukasa, Carolin Penke:
A Structure-Preserving Divide-and-Conquer Method for Pseudosymmetric Matrices. CoRR abs/2203.08900 (2022) - [i68]Peter Benner, Davide Palitta, Jens Saak:
Krylov techniques for low-rank ADI. CoRR abs/2203.17174 (2022) - [i67]Pawan Goyal, Peter Benner:
Neural ODEs with Irregular and Noisy Data. CoRR abs/2205.09479 (2022) - [i66]Peter Benner, Serkan Gugercin, Steffen W. R. Werner:
A unifying framework for tangential interpolation of structured bilinear control systems. CoRR abs/2206.01657 (2022) - [i65]Björn Baran, Peter Benner, Jens Saak:
Riccati-feedback Control of a Two-dimensional Two-phase Stefan Problem. CoRR abs/2209.05476 (2022) - [i64]Pawan Goyal, Peter Benner:
Generalized Quadratic-Embeddings for Nonlinear Dynamics using Deep Learning. CoRR abs/2211.00357 (2022) - 2021
- [j143]Peter Benner, Serkan Gugercin, Steffen W. R. Werner:
Structure-preserving interpolation of bilinear control systems. Adv. Comput. Math. 47(3): 43 (2021) - [j142]Maximilian Behr, Peter Benner, Jan Heiland:
Galerkin trial spaces and Davison-Maki methods for the numerical solution of differential Riccati equations. Appl. Math. Comput. 410: 126401 (2021) - [j141]Peter Benner, Serkan Gugercin, Steffen W. R. Werner:
Structure-preserving interpolation for model reduction of parametric bilinear systems. Autom. 132: 109799 (2021) - [j140]Xingang Cao, Peter Benner, Igor Pontes Duff, Wil H. A. Schilders:
Model order reduction for bilinear control systems with inhomogeneous initial conditions. Int. J. Control 94(10): 2886-2895 (2021) - [j139]Peter Benner, Enrique S. Quintana-Ortí, Jens Saak:
Introduction to the Special Issue related to the Power-Aware Computing Workshop 2019 - PACO 2019. Int. J. High Perform. Comput. Appl. 35(3) (2021) - [j138]Mian Muhammad Arsalan Asif, Mian Ilyas Ahmad, Peter Benner, Lihong Feng, Tatjana Stykel:
Implicit higher-order moment matching technique for model reduction of quadratic-bilinear systems. J. Frankl. Inst. 358(3): 2015-2038 (2021) - [j137]Sridhar Chellappa, Lihong Feng, Peter Benner:
A Training Set Subsampling Strategy for the Reduced Basis Method. J. Sci. Comput. 89(3): 63 (2021) - [j136]Peter Benner, Heike Faßbender, Philip Saltenberger:
A Rational Even-IRA Algorithm for the Solution of T-Even Polynomial Eigenvalue Problems. SIAM J. Matrix Anal. Appl. 42(3): 1172-1198 (2021) - [j135]Peter Benner, Venera Khoromskaia, Boris N. Khoromskij, Cleophas Kweyu, Matthias Stein:
Regularization of Poisson-Boltzmann Type Equations with Singular Source Terms Using the Range-Separated Tensor Format. SIAM J. Sci. Comput. 43(1): A415-A445 (2021) - [j134]Peter Benner, Pawan Goyal:
Interpolation-Based Model Order Reduction for Polynomial Systems. SIAM J. Sci. Comput. 43(1): A84-A108 (2021) - [j133]Peter Benner, Ernesto Dufrechou, Pablo Ezzatti, Rodrigo Gallardo, Enrique S. Quintana-Ortí:
Factorized solution of generalized stable Sylvester equations using many-core GPU accelerators. J. Supercomput. 77(9): 10152-10164 (2021) - [d23]Peter Benner, Steffen W. R. Werner:
SOMDDPA - Second-Order Modally-Damped Dominant Pole Algorithm. Version 2.0. Zenodo, 2021 [all versions] - [d22]Peter Benner, Steffen W. R. Werner:
SOLBT - Limited Balanced Truncation for Large-Scale Sparse Second-Order Systems. Version 3.0. Zenodo, 2021 [all versions] - [d21]Jens Saak, Martin Köhler, Peter Benner:
M-M.E.S.S. - The Matrix Equation Sparse Solver Library. Version 2.1. Zenodo, 2021 [all versions] - [i63]Cleophas Kweyu, Lihong Feng, Matthias Stein, Peter Benner:
Reduced basis method for the nonlinear Poisson-Boltzmann equation regularized by the range-separated canonical tensor format. CoRR abs/2103.00245 (2021) - [i62]Pawan Goyal, Peter Benner:
LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes. CoRR abs/2103.02249 (2021) - [i61]Sridhar Chellappa, Lihong Feng, Peter Benner:
A Training Set Subsampling Strategy for the Reduced Basis Method. CoRR abs/2103.06185 (2021) - [i60]Peter Benner, Yuji Nakatsukasa, Carolin Penke:
Stable and Efficient Computation of Generalized Polar Decompositions. CoRR abs/2104.06659 (2021) - [i59]Sridhar Chellappa, Lihong Feng, Valentin de la Rubia, Peter Benner:
Inf-Sup-Constant-Free State Error Estimator for Model Order Reduction of Parametric Systems in Electromagnetics. CoRR abs/2104.12802 (2021) - [i58]Neeraj Sarna, Peter Benner:
Data-Driven Model Order Reduction for Problems with Parameter-Dependent Jump-Discontinuities. CoRR abs/2105.00547 (2021) - [i57]Pawan Goyal, Peter Benner:
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression Approach. CoRR abs/2105.04869 (2021) - [i56]Karim Cherifi, Pawan Goyal, Peter Benner:
A Greedy Data Collection Scheme For Linear Dynamical Systems. CoRR abs/2107.12950 (2021) - [i55]Christian Himpe, Sara Grundel, Peter Benner:
Next-Gen Gas Network Simulation. CoRR abs/2108.02651 (2021) - [i54]Neeraj Sarna, Peter Benner:
Learning reduced order models from data for hyperbolic PDEs. CoRR abs/2109.06156 (2021) - [i53]Pawan Goyal, Peter Benner:
Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint. CoRR abs/2109.11446 (2021) - [i52]Cleophas Kweyu, Venera Khoromskaia, Boris N. Khoromskij, Matthias Stein, Peter Benner:
Solution decomposition for the nonlinear Poisson-Boltzmann equation using the range-separated tensor format. CoRR abs/2109.14073 (2021) - [i51]Peter Benner, Bruno Iannazzo, Beatrice Meini, Davide Palitta:
Palindromic linearization and numerical solution of nonsymmetric algebraic T-Riccati equations. CoRR abs/2110.03254 (2021) - [i50]Valentin de la Rubia, Sridhar Chellappa, Lihong Feng, Peter Benner:
Fast A Posteriori State Error Estimation for Reliable Frequency Sweeping in Microwave Circuits via the Reduced-Basis Method. CoRR abs/2110.05925 (2021) - [i49]Peter Benner, Jan Heiland, Steffen W. R. Werner:
A low-rank solution method for Riccati equations with indefinite quadratic terms. CoRR abs/2111.06516 (2021) - [i48]Pawan Goyal, Peter Benner:
Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. CoRR abs/2111.12995 (2021) - 2020
- [j132]Peter Benner, Steffen W. R. Werner:
Hankel-norm approximation of large-scale descriptor systems. Adv. Comput. Math. 46(3): 40 (2020) - [j131]Peter Benner, Xin Du, Guang-Hong Yang, Dan Ye:
Balanced truncation of linear time-invariant systems over finite-frequency ranges. Adv. Comput. Math. 46(6): 82 (2020) - [j130]Yue Qiu, Sara Grundel, Martin Stoll, Peter Benner:
Efficient numerical methods for gas network modeling and simulation. Networks Heterog. Media 15(4): 653-679 (2020) - [j129]Carolin Penke, Andreas Marek, Christian Vorwerk, Claudia Draxl, Peter Benner:
High performance solution of skew-symmetric eigenvalue problems with applications in solving the Bethe-Salpeter eigenvalue problem. Parallel Comput. 96: 102639 (2020) - [j128]Peter Benner, Pawan Goyal, Paul Van Dooren:
Identification of port-Hamiltonian systems from frequency response data. Syst. Control. Lett. 143: 104741 (2020) - [j127]Nicat Aliyev, Peter Benner, Emre Mengi, Matthias Voigt:
A Subspace Framework for H∞-Norm Minimization. SIAM J. Matrix Anal. Appl. 41(2): 928-956 (2020) - [j126]Peter Benner, Zvonimir Bujanovic, Patrick Kürschner, Jens Saak:
A Numerical Comparison of Different Solvers for Large-Scale, Continuous-Time Algebraic Riccati Equations and LQR Problems. SIAM J. Sci. Comput. 42(2): A957-A996 (2020) - [j125]Igor Pontes Duff, Sara Grundel, Peter Benner:
New Gramians for Switched Linear Systems: Reachability, Observability, and Model Reduction. IEEE Trans. Autom. Control. 65(6): 2526-2535 (2020) - [c68]Peter Benner, Jan Heiland:
Equivalence of Riccati-based Robust Controller Design for Index-1 Descriptor Systems and Standard Plants with Feedthrough. ECC 2020: 402-407 - [c67]Chayan Bhawal, Jan Heiland, Peter Benner:
PD controllers to solve single-input, index-1 DAE based LQR problems. ECC 2020: 1795-1800 - [c66]Peter Benner, Steffen W. R. Werner:
MORLAB - A Model Order Reduction Framework in MATLAB and Octave. ICMS 2020: 432-441