Benner, P.; Cohen, A.; Ohlberger, M.; Willcox, K. (Hg.): Model Reduction and Approximation. SIAM, Philadelphia (2017), 412 S.

Benner, P. (Hg.): System Reduction for Nanoscale IC Design. Springer International Publishing, Cham (2017), 193 S.

Benner, P.; Ohlberger, M.; Patera, A. T.; Rozza, G.; Urban, K. (Hg.): Model Reduction of Parametrized Systems. Springer International Publishing, Cham (2017), 504 S.

Banagaaya, N.; Benner, P.; Feng, L.: Parametric Model Order Reduction for Electro-Thermal Coupled Problems with Many Inputs. In: Progress in Industrial Mathematics at ECMI 2016, S. 263 - 270 (Hg. Quintela, P.; Barral, P.; Gómez, D.; Pena, F. J.; Rodríguez, J. et al.). Springer International Publishing, Cham (2017)

Baur, U.; Benner, P.; Haasdonk, B.; Himpe, C.; Martini, I.; Ohlberger, M.: Comparison of Methods for Parametric Model Order Reduction of Time-Dependent Problems. In: Model Reduction and Approximation, S. 377 - 407 (Hg. Benner, P.; Cohen, A.; Ohlberger, M.; Willcox, K.). SIAM, Philadelphia, PA (2017)

Benner, P.; Breiten, T.: Model Order Reduction Based on System Balancing. In: Model Reduction and Approximation, S. 261 - 295 (Hg. Benner, P.; Cohen, A.; Ohlberger, M.; Willcox, K.). SIAM, Philadelphia, PA (2017)

Benner, P.; Dufrechou, E.; Ezzatti, P.; Mena, H.; Quintana-Ortí, E. S.; Remón, A.: Solving Sparse Differential Riccati Equations on Hybrid CPU-GPU Platforms. In: Computational Science and Its Applications - ICCSA 2017: 17th International Conference, Trieste, Italy, July 3-6, 2017, Proceedings, Part I, S. 116 - 132 (Hg. Gervasi, O.; Murgante, B.; Misra, S.; Borruso, G.; Torre, C. M. et al.). Springer International Publishing, Cham (2017)

Benner, P.; Goyal, P. K.; Redmann, M.: Truncated Gramians for Bilinear Systems and their Advantages in Model Order Reduction. In: Model Reduction of Parametrized Systems, S. 285 - 300 (Hg. Benner, P.; Ohlberger, M.; Patera, A.; Rozza, G.; Urban, K.). Springer International Publishing, Cham (2017)

Benner, P.; Hess, M. W.: Reduced Basis Approximations for Maxwell’s Equations in Dispersive Media. In: Model Reduction of Parametrized Systems, S. 107 - 119 (Hg. Benner, P.; Ohlberger, M.; Patera, A.; Rozza, G.; Urban, K.). Springer, Cham (2017)

Benner, P.; Schneider, A.: Reduced Representation of Power Grid Models. In: System Reduction for Nanoscale IC Design, S. 87 - 134 (Hg. Benner, P.). Springer International Publishing, Cham (2017)

Benner, P.; Stykel, T.: Model Order Reduction for Differential-Algebraic Equations: A Survey. In: Surveys in Differential-Algebraic Equations IV, Differential-Algebraic Equations Forum, S. 107 - 160 (Hg. Ilchmann, A.; Reis, T.). Springer International Publishing, Cham (2017)

David-Henriet, X.; Hardouin, L.; Raisch, J.: Max-Plus-Linear Systems for Modeling and Control of Manufacturing Problems. In: Math for the Digital Factory, S. 37 - 60 (Hg. Ghezzi, L.; Hömberg, D.; Landry, C.). Springer International Publishing, Cham, Switzerland (2017)

Feng, L.; Antoulas, A. C.; Benner, P.: Automatic Generation of Reduced Order Models for Linear Parametric Systems. In: Progress in Industrial Mathematics at ECMI 2014, S. 811 - 818 (Hg. Russo, G.; Capasso, V.; Nicosia, G.; Romano, V.). Springer International Publishing, Cham (2017)

Janssen, H. H. J. M.; Benner, P.; Bittner, K.; Brachtendorf, H.-G.; Feng, L.; ter Maten, E. J. W.; Pulch, R.; Schoenmaker, W.; Schöps, S.; Tischendorf, C.: The European Project nanoCOPS for Nanoelectronic Coupled Problems Solutions. In: Progress in Industrial Mathematics at ECMI 2014, S. 835 - 842 (Hg. Russo, G.; Capasso, V.; Nicosia, G.; Romano, V.). Springer International Publishing, Cham (2017)

Kaspereit, M.; Seidel-Morgenstern, A.: Process Concepts in Preparative Chromatography. In: Liquid Chromatography: Fundamentals and Instrumentation, 2. Ed. Aufl., S. 593 - 618 (Hg. Fanali, S.; Haddad, P. R.; Poole, C.). Elsevier, USA, UK, Netherlands (2017)

Vidaković-Koch, T.: Energy Conversion Based on Bio(electro)catalysts. In: Springer Handbook of Electrochemical Energy, S. 757 - 777 (Hg. Breitkopf, C.; Swider-Lyons, K.). Springer, Berlin, Heidelberg (2017)

Vidaković-Koch, T.; Hanke-Rauschenbach, R.; González Martinez, I.; Sundmacher, K.: Catalyst Layer Modeling. In: Springer Handbook of Electrochemical Energy, S. 259 - 285 (Hg. Breitkopf, C.; Swider-Lyons, K.). Springer, Berlin, Heidelberg (2017)

Aliyev, N.; Benner, P.; Mengi, E.; Schwerdtner, P.; Voigt, M.: A Greedy Subspace Method for Computing the L_∞-Norm. 88th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Weimar, Germany, 06. März 2017 - 10. März 2017. Proceedings in Applied Mathematics and Mechanics 17, 1 Aufl., S. 751 - 752 (2017)

Arun Kumar, S.; Chowdhury, N. R.; Srikant, S.; Raisch, J.: Consensus Analysis of Systems with Time-varying Interactions: An Event-triggered Approach. IFAC 2017 World Congress, Toulouse, France, 09. Juli 2017 - 14. Juli 2017. IFAC-PapersOnLine 50 (1), S. 9349 - 9354 (2017)

Aydin, E.; Bonvin, D.; Sundmacher, K.: Dynamic Optimization of Constrained Semi-Batch Processes using Pontryagin’s Minimum Principle and Parsimonious Parameterization. In: 27th European Symposium on Computer Aided Process Engineering, S. 2041 - 2046. 27th European Symposium on Computer Aided Process Engineering, Barcelona, Spain, 01. Oktober 2017 - 05. Oktober 2017. Elsevier (2017)