Model order reduction of differential algebraic equations arising from the simulation of gas transport networks S Grundel, L Jansen, N Hornung, T Clees, C Tischendorf, P Benner Progress in Differential-Algebraic Equations: Deskriptor 2013, 183-205, 2014 | 80 | 2014 |
Gas network benchmark models P Benner, S Grundel, C Himpe, C Huck, T Streubel, C Tischendorf Applications of Differential-Algebraic Equations: Examples and Benchmarks …, 2019 | 54 | 2019 |
Computing surrogates for gas network simulation using model order reduction S Grundel, N Hornung, B Klaassen, P Benner, T Clees Surrogate-Based Modeling and Optimization: Applications in Engineering, 189-212, 2013 | 51 | 2013 |
How to coordinate vaccination and social distancing to mitigate SARS-CoV-2 outbreaks SM Grundel, S Heyder, T Hotz, TKS Ritschel, P Sauerteig, K Worthmann SIAM Journal on Applied Dynamical Systems 20 (2), 1135-1157, 2021 | 39 | 2021 |
Estimating the inf-sup constant in reduced basis methods for time-harmonic Maxwell’s equations MW Hess, S Grundel, P Benner IEEE Transactions on Microwave Theory and Techniques 63 (11), 3549-3557, 2015 | 36 | 2015 |
Efficient model order reduction for multi-agent systems using QR decomposition-based clustering P Mlinarić, S Grundel, P Benner Decision and Control (CDC), 2015 IEEE 54th Annual Conference on, 4794-4799, 2015 | 27 | 2015 |
Model order reduction for gas and energy networks C Himpe, S Grundel, P Benner Journal of Mathematics in Industry 11 (1), 13, 2021 | 21 | 2021 |
Efficient numerical methods for gas network modeling and simulation Y Qiu, S Grundel, M Stoll, P Benner arXiv preprint arXiv:1807.07142, 2018 | 21 | 2018 |
Model reduction of linear multi-agent systems by clustering with H 2 and H∞ error bounds HJ Jongsma, P Mlinarić, S Grundel, P Benner, HL Trentelman Mathematics of Control, Signals, and Systems 30 (1), 6, 2018 | 20 | 2018 |
How much testing and social distancing is required to control COVID-19? Some insight based on an age-differentiated compartmental model S Grundel, S Heyder, T Hotz, TKS Ritschel, P Sauerteig, K Worthmann SIAM Journal on Control and Optimization 60 (2), S145-S169, 2022 | 18 | 2022 |
New Gramians for switched linear systems: reachability, observability, and model reduction IP Duff, S Grundel, P Benner IEEE Transactions on Automatic Control 65 (6), 2526-2535, 2019 | 18 | 2019 |
Efficient simulation of transient gas networks using IMEX integration schemes and MOR methods S Grundel, L Jansen 2015 54th IEEE Conference on Decision and Control (CDC), 4579-4584, 2015 | 14 | 2015 |
Numerical aspects of model order reduction for gas transportation networks S Grundel, N Hornung, S Roggendorf Simulation-Driven Modeling and Optimization: ASDOM, Reykjavik, August 2014, 1-28, 2016 | 13 | 2016 |
Surrogate models in bidirectional optimization of coupled microgrids M Baumann, S Grundel, P Sauerteig, K Worthmann at-Automatisierungstechnik 67 (12), 1035-1046, 2019 | 8 | 2019 |
Synchronization and aggregation of nonlinear power systems with consideration of bus network structures P Mlinarić, T Ishizaki, A Chakrabortty, S Grundel, P Benner, J Imura 2018 European Control Conference (ECC), 2266-2271, 2018 | 8 | 2018 |
On empirical system Gramians S Grundel, C Himpe, J Saak PAMM 19 (1), e201900006, 2019 | 7 | 2019 |
MathEnergy–mathematical key technologies for evolving energy grids T Clees, A Baldin, P Benner, S Grundel, C Himpe, B Klaassen, F Küsters, ... Mathematical modeling, simulation and optimization for power engineering and …, 2021 | 6 | 2021 |
Clustering-based model order reduction for nonlinear network systems P Benner, S Grundel, P Mlinarić Model Reduction of Complex Dynamical Systems, 75-96, 2021 | 6 | 2021 |
Nonlinear model reduction of dynamical power grid models using quadratization and balanced truncation TKS Ritschel, F Weiß, M Baumann, S Grundel at-Automatisierungstechnik 68 (12), 1022-1034, 2020 | 6 | 2020 |
Progress in Differential-Algebraic Equations II T Reis, S Grundel, S Schöps Springer International Publishing, 2020 | 6 | 2020 |