Heiner, M.; Richter, R.; Rohr, C.; Schwarick, M.: Snoopy - A Tool to Design and Execute Graph-Based Formalisms. [Extended Version]. Petri Net Newsletter 74 (April), pp. 8 - 22 (2008)

Seshadhri, S.; Janiga, G.; Preim, B.; Rose, G.; Skalej, M.; Thévenin, D.: Simulation stationärer und gepulster Strömungen in Aorten Aneurysmen. Chemie Ingenieur Technik 80 (9 : Special Issue: ProcessNet Jahrestagung 2008), pp. 1287 - 1288 (2008)

Sreedhar, B.; Seidel-Morgenstern, A.: Preparative separation of multi-component mixtures using stationary phase gradients. Journal of Chromatography A 1215 (1-2), pp. 133 - 144 (2008)

Emenike, V. N.; Xie, X.; Krewer, U.; Schenkendorf, R.: A point estimate method-based back-off approach to robust optimization: application to pharmaceutical processes. In: 29th European Symposium on Computer Aided Process Engineering: Computer Aided Chemical Engineering, Vol. 46, pp. 223 - 228. Elsevier (2019)

Matschek, J.; Bäthge, T.; Faulwasser, T.; Findeisen, R.: Nonlinear Predictive Control for Trajectory Tracking and Path Following: An Introduction and Perspective. In: Handbook of Model Predictive Control: Control Engineering, pp. 169 - 198 (Eds. Raković, S. V.; Levine, W. S.). Springer International Publishing, Cham (2019)

Benner, P.; Goyal, P. K.: An Iterative Model Reduction Scheme for Quadratic-Bilinear Descriptor Systems with an Application to Navier-Stokes Equations. In: Reduced-Order Modeling for Simulation and Optimization, pp. 1 - 19 (Eds. Keiper, W.; Milde, A.; Volkwein, S.). Springer International Publishing, Cham (2018)

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, pp. 285 - 300 (Eds. Benner, P.; Ohlberger, M.; Patera, A.; Rozza, G.; Urban, K.). Springer International Publishing, Cham (2017)

Heiner, M.; Rohr, C.; Schwarick , M.; Tovchigrechko, A. A.: MARCIE’s Secrets of Efficient Model Checking. In: Transactions on petri nets and other models of concurrency XI. Lecture Notes in Computer Science, Vol. 9930, pp. 286 - 296. Springer, Berlin, Heidelberg (2016)

Blätke, M. A.; Heiner, M.; Marwan, W.: BioModel Engineering with Petri Nets. In: Algebraic and Discrete Mathematical Methods for Modern Biology, pp. 141 - 192. Elsevier, San Diego, USA (2015)

Blätke, M. A.; Rohr, C.; Heiner, M.; Marwan, W.: A Petri-Net-Based Framework for Biomodel Engineering. In: Large-Scale Networks in Engineering and Life Sciences, pp. 317 - 366. Springer International Publishing, Cham (2014)

Rohr, C.: Simulative Model Checking of Steady-State and Time-Unbounded Temporal Operators. In: Transactions on Petri Nets and Other Models of Concurrency VIII. Lecture Notes in Computer Science, Vol. 8100, pp. 142 - 158. Springer, Berlin, Heidelberg (2013)

Benner, P.; Breiten, T.: Krylov-Subspace Based Model Reduction of Nonlinear Circuit Models using Bilinear and Quadratic-Linear Approximations. In: Progress in Industrial Mathematics at ECMI 2010, pp. 153 - 159 (Eds. Günther, M.; Bartel, A.; Brunk, M.; Schöps, S.; Striebel, M.). Springer, Berlin (2012)

Marwan, W.; Rohr, C.; Heiner, M.: Petri Nets in Snoopy: A Unifying Framework for the Graphical Display, Computational Modelling, and Simulation of Bacterial Regulatory Networks. In: Bacterial Molecular Networks. Methods in Molecular Biology, Vol. 804, pp. 409 - 437. Springer, New York, NY (2012)

Kaibel, V.; Pashkovich, K.: Constructing Extended Formulations from Reflection Relations. In: Integer Programming and Combinatoral Optimization, pp. 287 - 300 (2011)

Kaibel, V.; Pashkovich, K.; Theis, D. O.: Symmetry Matters for Sizes of Extended Formulations. In: Integer Programming and Combinatorial Optimization, pp. 135 - 148 (2010)

Faulwasser, T.; Findeisen, R.: Nonlinear model predictive path-following control. In: Nonlinear Model Predictive Control: Towards New Challenging Applications, pp. 335 - 343 (Eds. Magni, L.; Raimundo, D.; Allgöwer, a. F.). Springer, Berlin (2009)

Findeisen, R.; Varutti, P.: Stabilizing nonlinear predictive control over non deterministic communication networks. In: Nonlinear Model Predictive Control: Towards New Challenging Applications, pp. 167 - 179 (Eds. Magni, L.; Raimundo, D.; Allgöwer, a. F.). Springer, Berlin (2009)

Kern, B.; Böhm, C.; Findeisen, R.; Allgöwer, F.: Receding horizon control for linear periodic time-varying systems subject to input constraints. In: Nonlinear Model Predictive Control: Towards New Challenging Applications, pp. 109 - 117 (Eds. Magni, L.; Raimundo, D.; Allgöwer, a. F.). Springer, Berlin (2009)

Seshadhri, S.; Janiga, G.; Preim, B.; Rose, G.; Skalej, M.; Thévenin, D.: Numerical simulation and Experimental Validation in an Exact Aortic Arch Aneurysm Model. In: 4th European Conference of the International Federation for Medical and Biological Engineering, pp. 1975 - 1979 (2009)

Duvigneau, S.; Willisch-Neumann, A.; Duerr, R.; Kienle, A.: Modeling and Experimental Validation of Poly(3-Hydroxybutyrate-co-3-Hydroxyvalerate) Chain Length Distribution. In: 33rd European Symposium on Computer Aided Process Engineering, pp. 2223 - 2228 (Eds. Kokossis, A.; Georgiadis, M. C.; Pistikopoulos, E.). 33rd European Symposium on Computer Aided Process Engineering, Athen, Greece, June 18, 2023 - June 21, 2023. Elsevier, Amsterdam/Netherlands (2023)

Espinel-Rios, S.; Bettenbrock, K.; Klamt, S.; Avalos, J. L.; Findeisen, R.: Machine learning-supported cybergenetic modeling, optimization and control for synthetic microbial communities. In: 33rd European Symposium on Computer Aided Chemical Engineering, pp. 2601 - 2606 (Eds. Kokossis, A.; Georgiadis, M. C.; Pistikopoulos, E.). 33rd European Symposium on Computer Aided Process Engineering, Athen, Greece, June 18, 2023 - June 21, 2023. Elsevier, Amsterdam, Netherlands (2023)

Minor, A.-J.; Goldhahn, R.; Rihko-Struckmann, L.; Sundmacher, K.: Techno-Economic Process Analysis of the Chemical Recycling of Nylon 6 Using Phosphoric Acid. In: 33rd European Symposium on Computer Aided Process Engineering, pp. 2393 - 2398 (Eds. Kokossis, A.; Georgiadis, M. C.; Pistikopoulos, E.). 33rd European Symposium on Computer Aided Process Engineering, Athen, Greece, June 18, 2023 - June 21, 2023. Elsevier, Amsterdam/Netherlands (2023)

Sanchez Medina, E. I.; Sundmacher, K.: Solvent pre-selection for extractive distillation using Gibbs-Helmholtz Graph Neural Networks. In: 33rd European Symposium on Computer Aided Process Engineering, Vol. 52, pp. 2037 - 2042. 33rd European Symposium on Computer Aided Process Engineering, Athen, Greece, June 18, 2023 - June 21, 2023. Elsevier, Amsterdam/Netherlands (2023)

Wang, Z.; Zhou, T.; Sundmacher, K.: Molecular Property Targeting for Optimal Solvent Design in Extractive Distillation Processes. In: 33rd European Symposium on Computer Aided Process Engineering: Computer Aided Chemical Engineering, pp. 1247 - 1252 (Eds. Kokossis, A.; Georgiadis, M. C.; Pistikopoulos, E.). 33rd European Symposium on Computer Aided Process Engineering, Athen, Greece, June 18, 2023 - June 21, 2023. Elsevier, Amsterdam/Netherlands (2023)

Chernev, V. P.; Santos, L. O.; Wouver, A. V.; Kienle, A.: Model Predictive Control of Simulated Moving Bed Chromatographic Processes Using Conservation Element/Solution Element Method. In: 2022 26th International Conference on System Theory, Control and Computing, ICSTCC 2022 - Proceedings, pp. 355 - 361 (Eds. Barbu, M.; Solea, S.). 26th International Conference on System Theory, Control and Computing, ICSTCC 2022, Sinaia, Romania, October 19, 2022 - October 21, 2022. IEEE, Boca Raton (2022)

Espinel-Rios, S.; Huber, N.; Alcalá Orozco, E. A.; Morabito, B.; Rexer, T.; Reichl, U.; Klamt, S.; Findeisen, R.: Cell-free biosynthesis meets dynamic optimization and control: a fed-batch framework. 9th IFAC Conference on Foundations of Systems Biology in Engineering (FOSBE), Cambridge, MA, August 28, 2022 - August 31, 2022. IFAC-PapersOnLine 55 (23), pp. 92 - 97 (2022)

Espinel-Rios, S.; Morabito, B.; Bettenbrock, K.; Findeisen, R.: Soft sensor for monitoring dyamic changes in cell composition. 9th IFAC Conference on Foundations of Systems Biology in Engineering (FOSBE), Cambridge, MA, August 28, 2022 - August 31, 2022. IFAC-PapersOnLine 55 (23), pp. 98 - 103 (2022)

Lehr, A.; Janiga, G.; Seidel-Morgenstern, A.; Thévenin, D.: Numerical study on the solid phase residence time distribution in a counter-current screw extractor. 32nd European Symposium on Computer Aided Process Engineering, Toulouse, France, June 12, 2022 - June 15, 2022. 32nd European Symposium on Computer Aided Process Engineering, pp. 13 - 18 (2022)

Lehr, A.; Janiga, G.; Seidel-Morgenstern, A.; Thevenin, D.: Numerical study on the solid-liquid residence time distribution in a counter-current screw extractor. In: Proceedings of the Conference on Modelling Fluid Flow CMFF’22, pp. 273 - 281 (Ed. Vad, J.). Conference on Modelling Fluid Flow (CMFF’22) The 18th International Conference on Fluid Flow Technologies, Budapest, Hungary, August 30, 2022 - September 02, 2022. Budapest University of Technology and Economics, Budapest, Hungary (2022)

Wang, Z.; Zhou, T.; Sundmacher, K.: A Novel Machine Learning-Based Optimization Approach for the Molecular Design of Solvents. In: 32nd European Symposium on Computer Aided Process Engineering, pp. 1477 - 1482. 32nd European Symposium on Computer Aided Process Engineering : ESCAPE 32, Toulouse, France, June 12, 2022 - June 15, 2022. Elsevier (2022)

Zhou, T.; Wang, Z.; Sundmacher, K.: A New Machine Learning Framework for Efficient MOF Discovery: Application to Hydrogen Storage. In: 14th International Symposium on Process Systems Engineering:, pp. 1807 - 1812 (Eds. Yamashita, Y.; Kano, M.). 14th International Symposium on Process Systems Engineering - PSE 2021+, Kyoto, Japan, June 19, 2022 - June 23, 2022. Elsevier (2022)

Zimmermann, R. T.; Bremer, J.; Sundmacher, K.: Optimal Catalyst-Reactor Design for Load-Flexible CO2 Methanation by Multi-Period Design Optimization. In: 14th International Symposium on Process Systems Engineering:, pp. 841 - 846 (Eds. Yamashita, Y.; Kano, M.). 14th International Symposium on Process Systems Engineering - PSE 2021 +, Kyoto, Japan, June 19, 2022 - June 23, 2022. Elsevier (2022)

Dürr, R.; Duvigneau, S.; Kienle, A.: Microbial Production of Polyhydroxyalkanoates – Modeling of Chain Length Distribution. In: 31st European Symposium on Computer Aided Process Engineering, pp. 1975 - 1981 (Eds. Türkay, M.; Gani, R.). 31st European Symposium on Computer Aided Process Engineering, Istanbul, Turkey/virtual, June 06, 2021 - June 09, 2021. Elsevier, Amsterdam, Netherlands (2021)

Kallies, C.; Ibrahim, M.; Findeisen, R.: Continuous-Time Approximated Parametric Output-Feedback Nonlinear Model Predictive Control. 7th IFAC Conference on Nonlinear Model Predictive Control - NMPC 2021 (Virtual), Bratislava, Slovakia, July 11, 2021 - July 14, 2021. IFAC-PapersOnLine 54 (6), pp. 251 - 256 (2021)

Morabito, B.; Pohlodek, J.; Matschek, J.; Savchenko, A.; Carius, L.; Findeisen, R.: Towards Risk-aware Machine Learning Supported Model Predictive Control and Open-loop Optimization for Repetitive Processes. 7th IFAC Conference on Nonlinear Model Predictive Control - NMPC 2021, Bratislava, Slovakia, July 11, 2021 - July 14, 2021. IFAC-PapersOnLine 54 (6), pp. 321 - 328 (2021)

Sanchez Medina, E. I.; Linke, S.; Sundmacher, K.: Prediction of Bioconcentration Factors (BCF) using Graph Neural Networks. In: 31st European Symposium on Computer Aided Process Engineering, pp. 991 - 997 (Eds. Türkay, M.; Gani, R.). 31st European Symposium on Computer Aided Process Engineering, Istanbul, Turkey/virtual, June 06, 2021 - June 09, 2021. Elsevier, Amsterdam, Netherlands (2021)

Sanchez Medina, E. I.; Vallejo, D. R.; Chachuat, B.; Sundmacher, K.; Petsagkourakis, P.; del Rio-Chanona, E.A.: Acyclic modular flowsheet optimization using multiple trust regions and Gaussian process regression. In: 31st European Symposium on Computer Aided Process Engineering, pp. 1117 - 1123 (Eds. Türkay, M.; Gani, R.). 31st European Symposium on Computer Aided Process Engineering, Istanbul, Turkey/virtual, June 06, 2021 - June 09, 2021. Elsevier, Amsterdam, Netherlands (2021)

Zimmermann, R. T.; Bremer, J.; Sundmacher, K.: Multi-Period Design Optimization of Flexible Fixed-Bed Reactors by Stoichiometry-Based Model Reduction. In: 31st European Symposium on Computer Aided Process Engineering, pp. 947 - 952 (Eds. Türkay, M.; Gani, R.). 31st European Symposium on Computer Aided Process Engineering, Istanbul, Turkey/virtual, June 06, 2021 - June 09, 2021. Elsevier, Amsterdam, Netherlands (2021)

Andonov, P.; Savchenko, A.; Rumschinski, P.; Trenner, T.; Neidig, J.; Findeisen, R.: Monitoring and verification of event-driven transportation systems in discrete manufacturing. In: 2020 IEEE Conference on Control Technology and Applications (CCTA), pp. 1029 - 1035. 2020 IEEE Conference on Control Technology and Applications, Montréal, Canada (online), August 24, 2020 - August 26, 2020. IEEE (2020)

Bethge, J.; Morabito, B.; Rewald, H.; Ahsan, A.; Sorgatz, S.; Findeisen, R.: Modelling Human Driving Behavior for Constrained Model Predictive Control in Mixed Traffic at Intersections. 21st IFAC World Congress, Berlin, Germany, July 11, 2020 - July 17, 2020. IFAC-PapersOnLine 53 (2), pp. 14356 - 14362 (2020)

Duvigneau, S.; Dürr, R.; Carius, L.; Kienle, A.: Hybrid Cybernetic Modeling of Polyhydroxyalkanoate Production in Cupriavidus necator using Fructose and Acetate as Substrates. 21th IFAC World Congress, virtual, July 11, 2020 - July 17, 2020. IFAC-PapersOnLine 53 (2), pp. 16872 - 16877 (2020)

Ibrahim, M.; Kallies, C.; Findeisen, R.: Learning-Supported Approximated Optimal Control for Autonomous Vehicles in the Presence of State Dependent Uncertainties. In: 2020 European Control Conference (ECC), pp. 338 - 343. European Control Conference - ECC 2020 (Virtual), Saint Petersburg, Russia, May 12, 2020 - May 15, 2020. IEEE (2020)

Ibrahim, M.; Kögel, M.; Kallies, C.; Findeisen, R.: Contract-based Hierarchical Model Predictive Control and Planning for Autonomous Vehicle. 21st IFAC World Congress (Virtual) , Berlin, Germany, July 11, 2020 - July 17, 2020. IFAC-PapersOnLine 53 (2), pp. 15758 - 15764 (2020)

Kallies, C.; Ibrahim, M.; Findeisen, R.: Approximated Constrained Optimal Control subject to Variable Parameters. 21st IFAC World Congress (Virtual), Berlin, Germany, July 11, 2020 - July 17, 2020. IFAC-PapersOnLine 53 (2), pp. 9310 - 9315 (2020)

Kallies, C.; Ibrahim, M.; Findeisen, R.: Fallback Approximated Constrained Optimal Output Feedback Control Under Variable Parameters. In: CONTROLO 2020. Lecture Notes in Electrical Engineering, Vol. 695. 14th International Conference on Automatic Control and Soft Computing - CONTROLO 2020 , Bragança, Portugal, July 01, 2020 - July 03, 2020. Springer, Cham (2020)

Keßler, T.; Kunde, C.; Linke, S.; McBride, K.; Sundmacher, K.; Kienle, A.: Computer Aided Molecular Design of Green Solvents for the Hydroformylation of Long-Chain Olefines. ESCAPE 30, Virtual Symposium, August 31, 2020 - September 02, 2020. 30th European Symposium on Computer Aided Process Engineering: Computer Aided Chemical Engineering, pp. 745 - 750 (2020)

Lehr, A.; Janiga, G.; Seidel-Morgenstern, A.; Thévenin, D.: CFD Simulation of a Solid-Liquid Counter-Current Screw Extractor. In: 30th European Symposium on Computer Aided Process Engineering: Computer Aided Chemical Engineering, pp. 223 - 228. Elsevier B.V. (2020)

Matschek, J.; Himmel, A.; Sundmacher, K.; Findeisen, R.: Constrained Gaussian Process Learning for Model Predictive Control. 21th IFAC World Congress, Virtual, July 11, 2020 - July 17, 2020. IFAC-PapersOnLine 53 (2), pp. 971 - 976 (2020)

Morabito, B.; Kögel, M.; Blasi, S.; Klemme, V.; Hansen, C.; Höhn, O.; Findeisen., R.: Multi-stage Event-triggered Model Predictive Control for Automated Trajectory Drilling. 21st IFAC World Congress, Berlin, Germany, July 11, 2020 - July 17, 2020. IFAC-PapersOnLine 53 (2), pp. 9478 - 9483 (2020)

Nguyen, H. H.; Morabito, B.; Findeisen, R.: Repetitive Set-based Learning Robust Predictive Control for Lur’e Systems. 21st IFAC World Congress, Berlin, Germany, July 11, 2020 - July 17, 2020. IFAC-PapersOnLine 53 (2), pp. 7117 - 7122 (2020)