Systems Theory and Automatic Control

Publications

Journal articles and book chapters

[30]E. Bullinger, U. Greggers, and R. Menzel. Generalization of navigation memory in honeybees. Frontiers in Behavioral Neuroscience, 17:1070957, 2023. (DOI)
[29]H. Reeh, N. Rudolph, U. Billing, H. Christen, S. Streif, E. Bullinger, M. Schliemann-Bullinger, R. Findeisen, F. Schaper, H. J. Huber, and A. Dittrich. Response to IL-6 trans- and IL-6 classic signalling is determined by the ratio of the IL-6 receptor α to gp130 expression: Fusing experimental insights and dynamic modelling. Cell Communication and Signaling, 17(1):46, 2019. (DOI)
[28]J. Matschek, E. Bullinger, F. von Haeseler, M. Skalej, and R. Findeisen. Mathematical 3D modelling and sensitivity analysis of multipolar radiofrequency ablation in the spine. Mathematical Biosciences, 284:51–60, 2017. (DOI)
[27]S. Koulchitsky, C. Delairesse, T. Beeken, A. Monteforte, J. Dethier, E. Quertemont, R. Findeisen, E. Bullinger, and V. Seutin. Activation of D2 autoreceptors alters cocaine-induced locomotion and slows down local field oscillations in the rat ventral tegmental area. Neuropharmacology, 108:120–127, 2016. (DOI)
[26]M. Schliemann-Bullinger, D. Fey, T. Bastogne, R. Findeisen, P. Scheurich, and E. Bullinger. The experimental side of parameter estimation. In L. Geris and D. Gomez-Cabrero, editors, Uncertainty in Biology, volume 17 of Studies in Mechanobiology, Tissue Engineering and Biomaterials. Springer, 1 edition, 2016. (DOI)
[25]J.-B. Tylcz, T. Bastogne, H. Benachour, D. Bechet, E. Bullinger, H. Garnier, and M. Barberi-Heyob. A model-based pharmacokinetics characterization method of engineered nanoparticles for pilot studies. IEEE Transactions on NanoBioscience, 14(4):368–377, 6/2015. (DOI)
[24]S. Blacher, C. Erpicum, B. Lenoir, J. Paupert, G. Moraes, S. Ormenese, E. Bullinger, and A. Noël. Cell invasion in the spheroid sprouting assay: A spatial organisation analysis adaptable to cell behaviour. PLoS ONE, 9(5):e97019, 05/2014. (DOI)
[23]M. C. Readman, M. Schliemann, D. Kalamatianos, and E. Bullinger. A feedback control perspective on models of apoptosis signal transduction. Chaos, Solitons & Fractals, 50:93–99, 2013. Special Issue ‘Functionality and Dynamics in Biological Systems’. (DOI)
[22]L. Trotta, E. Bullinger, and R. Sepulchre. Global analysis of dynamical decision-making models through local computation around the hidden saddle. PLoS One, 7(3):e33110, 2012. (DOI) (PMID:22438893)
[21]D. Fey, S. Commins, and E. Bullinger. Feedback control strategies for spatial navigation revealed by dynamic modelling of learning in the Morris water maze. J Comput Neurosci, 30(2):447–454, 2011. (DOI) (PMID:20799059)
[20]M. Schliemann, E. Bullinger, S. Borchers, F. Allgöwer, R. Findeisen, and P. Scheurich. Heterogeneity reduces sensitivity of cell death for TNF-stimuli. BMC Syst Biol, 5:204, 2011. (DOI) (PMID:22204418)
[19]D. Fey, R. Findeisen, and E. Bullinger. Identification of biochemical reaction networks using a parameter-free coordinate system. In P. A. Iglesias and B. Ingalls, editors, Control-Theoretic Approaches in Systems Biology, pages 293–310. MIT Press, 2009.
[18]H. Huber, E. Bullinger, and M. Rehm. Systems biology approaches to the study of apoptosis. In X.-M. Yin and Z. Dong, editors, Essentials of Apoptosis, pages 283–297. Humana Press, second edition, 2009. (DOI)
[17]E. Bullinger, D. Fey, M. Farina, and R. Findeisen. Identifikation biochemischer reaktionsnetzwerke: Ein beobachterbasierter ansatz. AT-Automatisierungs-technik, 56(5):269–279, 2008. (DOI)
[16]P. Wellstead, E. Bullinger, D. Kalamatianos, O. Mason, and M. Verwoerd. The rôle of control and system theory in systems biology. Annu Rev Control, 32:33–47, 2008. (DOI)
[15]E. Bullinger, R. Findeisen, D. Kalamatianos, and P. Wellstead. System and control theory furthers the understanding of biological signal transduction. In I. Queinnec, S. Tarbouriech, G. Garcia, and S.-I. Niculescu, editors, Biology and Control Theory: Current Challenges, volume 357 of Lecture Notes in Control and Information Sciences, pages 123–135. Springer-Verlag, 2007. (DOI)
[14]T. Eißing, S. Waldherr, F. Allgöwer, P. Scheurich, and E. Bullinger. Response to Bistability in apoptosis: Roles of Bax, Bcl-2, and mitochondrial permeability transition pores. Biophys. J., 92(9):3332–3334, 2007. (DOI) (PMID:17277182)
[13]T. Eißing, S. Waldherr, F. Allgöwer, P. Scheurich, and E. Bullinger. Steady state and (bi discretionary -)) stability evaluation of simple protease signalling networks. BioSystems, 90(3):591–601, 2007. (DOI)
[12]T. Millat, E. Bullinger, J. Rohwer, and O. Wolkenhauer. Approximations and their consequences for dynamic modelling of signal transduction pathways. Math Bioscience, 207:40–57, 2007. (DOI)
[11]M. Nickel, E. Bullinger, and F. Beckmann. Functional morphology of tethya species (porifera): 2. Three-dimensional morphometrics on spicules and skeleton superstructures of t. minuta. Zoomorphology, 125(4):225–239, 2006. (DOI)
[10]E. Bullinger and F. Allgöwer. Adaptive λ-tracking for nonlinear higher relative degree systems. Automatica, 41(7):1191–2000, 2005. (DOI)
[9]T. Eißing, F. Allgöwer, and E. Bullinger. Robustness properties of apoptosis models with respect to parameter variations and intrinsic noise. IEE Proceedings—Systems Biology, 152(4):221–228, 2005. Journal now known as IET Systems Biology. (DOI)
[8]H. Conzelmann, J. Saez-Rodriguez, T. Sauter, E. Bullinger, F. Allgöwer, and E. D. Gilles. Reduction of mathematical models of signal transduction networks: Simulation-based approach applied to EGF receptor signaling. IEE Systems Biology, 1(1):159–169, 2004. Journal now known as IET Systems Biology. (DOI)
[7]T. Eißing, H. Conzelmann, E. D. Gilles, F. Allgöwer, E. Bullinger, and P. Scheurich. Bistability analyses of a caspase activation model for receptor-induced apoptosis. J. Biol. Chem., 279(35):36892–36897, 2004. (DOI) (PMID:15208304)
[6]A. Kremling, S. Fischer, K. Gadkar, F. J. Doyle III, T. Sauter, E. Bullinger, F. Allgöwer, and E. D. Gilles. A benchmark for methods in reverse engineering and model discrimination: problem formulation and solutions. Genome Res., 14(9):1773–1785, 2004. (DOI) (PMID:15342560)
[5]T. Sauter and E. Bullinger. Detailed mathematical modeling of metabolic and regulatory networks. BIOforum Europe, 2004(2):62–64, 2004.
[4]P. Schumm, E. Bullinger, T. Schweickhardt, and F. Allgöwer. Integration und interaktion: Möglichkeiten des einsatzes von notebooks und internet in der regelungstechnischen lehre. AT-Automatisierungstechnik, 52(2):81–89, 2004. (DOI)
[3]M. Ederer, T. Sauter, E. Bullinger, E. D. Gilles, and F. Allgöwer. An approach for dividing models of biological reaction networks into functional units. Simulation: Trans. Society for Modeling and Simulation International, 79(12):703–716, 2003. (DOI)
[2]L. Imsland, R. Findeisen, E. Bullinger, F. Allgöwer, and B. Foss. A note on stability, robustness and performance of output feedback nonlinear model predictive control. J. Process Control, 13(7):633–644, 2003. (DOI)
[1]C. W. Frei, E. Bullinger, A. Gentilini, A. H. Glattfelder, T. Sieber, and A. M. Zbinden. Artifact-tolerant controllers for automatic drug delivery in anesthesia. Crit. Rev. Biomed. Eng., 28(1–2):187–192, 2000. (DOI) (PMID:10999384)

Articles in Conference Proceedings

[44]M. Kopf, E. Bullinger, H.-G. Giesseler, S. Adden, and R. Findeisen. Model predictive control for aircraft load alleviation: Opportunities and challenges. In Proc. American Control Conference (ACC), Milwaukee, WI, USA, 27–29 June 2018, pages 2417–2424, 2018. (DOI)
[43]C. Kallies, M. Schliemann-Bullinger, R. Findeisen, S. Lucia, and E. Bullinger. Monotonicity of kinetic proofreading. In IFAC-PapersOnLine — Proc. of the 6th Foundations of Systems Biology in Engineering FOSBE 2016, 9–12 October, Magdeburg, Germany, 49(26):306–311, 2016. (DOI)
[42]S. Lucia, M. Schliemann-Bullinger, R. Findeisen, and E. Bullinger. A set-based optimal control approach for pharmacokinetic / pharmacodynamic drug dosage design. 49(7):797–802, 6/2016. (DOI)
[41]J. Matschek, A. Himmel, F. von Haeseler, E. Bullinger, M. Skalej, and R. Findeisen. Mathematical modelling and sensitivity analysis of multipolar radiofrequency ablation in the spine. In IFAC-PapersOnLine — Proc. 9th IFAC Symposium on Biological and Medical Systems (BMS 2015), 48(20), Berlin, Germany, 31/8-2/9/2015. (DOI)
[40]B. Morabito, M. Kögel, E. Bullinger, G. Pannocchia, and R. Findeisen. Simple and efficient moving horizon estimation based on the fast gradient method. In IFAC-PapersOnLine — Proc. 5th IFAC Conference on Nonlinear Model Predictive Control (NMPC'15), 48(23), Seville, Spain, 17-20/9/2015. (DOI)
[39]M. Schliemann-Bullinger, M. C. Readman, D. Kalamatianos, R. Findeisen, and E. Bullinger. Unraveling apoptosis signalling using linear control methods: Linking the loop gain to reverting the decision to undergo apoptosis. In IFAC-PapersOnLine — Proc. IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2015), 48(8), Whistler, BC, Canada, 07/6-10/06/2015. (DOI)
[38]S. Koulchitsky, T. Beeken, A. Monteforte, J. Dethier, E. Quertemont, R. Findeisen, E. Bullinger, and V. Seutin. Changed state changed brain shift of the dominant frequency of theta oscillations in the rat VTA during stereotypic locomotion. In Front. Hum. Neurosci., Ghent, Belgium, 10Q2014. Conference Abstract: Belgian Brain Council 2014 ‘Modulating the Brain: Facts, Fiction, Future’. (DOI)
[37]M. Schliemann, S. Livingstone, M. C. Readman, D. Kalamatianos, and E. Bullinger. Quantifying heterogeneity of cell death. In Proc. of the 12th IFAC Symposium on Computer Applications in Biotechnology, pages 181–186, Mumbai, India, 16-18/12/2013. (DOI)
[36]L. Trotta, E. Bullinger, and R. J. Sepulchre. Delayed-decision making in noisy bistable switches. In Proc. of the 12th IFAC Symposium on Computer Applications in Biotechnology, pages 84–88, Mumbai, India, 16-18/12/2013. (DOI)
[35]M. Schliemann, R. Findeisen, and E. Bullinger. Robustness-based model validation of an apoptosis signalling network model. In 16th IFAC Symposium on System Identification, pages 930–935, Brussels, Belgium, 11-13/07/2012. (DOI)
[34]D. Fey and E. Bullinger. Limiting the parameter search space for dynamic models with rational kinetics using semi-definite programming. In Proc. of the 11th IFAC Symposium on Computer Applications in Biotechnology, pages 150–155, Leuven, Belgium, 07-09/07/2010. (DOI)
[33]L. Trotta, R. Sepulchre, and E. Bullinger. Delayed decision-making in bistable models. In Proc. of the 49th IEEE Conf. on Decision and Control, Atlanta, GA, USA, pages 816–821, 2010. (DOI)
[32]D. Fey and E. Bullinger. A dissipative approach to the identification of biochemical reaction networks. In 15th IFAC Symposium on System Identification, pages 1259–1264, Saint Malo, France, 06-08/07/2009. (DOI)
[31]P. Murray, S. Marshall, and E. Bullinger. The percentage occupancy hit or miss transform. In Proc. 17th European Signal Processing Conference (EUSIPCO 2009), pages 253–257, Glasgow, Scotland, 24-28/08/2009.
[30]D. Fey, R. Findeisen, and E. Bullinger. Parameter estimation in kinetic reaction models using nonlinear observers facilitated by model extensions. In Proc. of the 17th IFAC World Congress, Seoul, Korea, pages 313–318, 2008. (DOI)
[29]M. Nickel, J. U. Hammel, J. Herzen, E. Bullinger, and F. Beckmann. High-density resolution synchrotron radiation based X-ray microtomography (SRμCT) for quantitative 3D-morphometrics in zoological sciences. In Developments in X-Ray Tomography VI, 7078:70781W, 08Q2008. Optical Engineering+Application Conference, San Diego, California, USA, 10–14 August 2008. (DOI)
[28]M. Farina, E. Bullinger, R. Findeisen, and S. Bittanti. An observability based strategy for parameter identification in systems biology. In Proc. of the 2nd Foundations of Systems Biology in Engineering FOSBE 2007, 9–12 September, Stuttgart, Germany, pages 521–526, 2007.
[27]M. Schliemann, T. Eißing, P. Scheurich, and E. Bullinger. Mathematical modelling of TNF-α induced anti-apoptotic signalling pathways in mammalian cells based on dynamic and quantitative experiments. In Proc. of the 2nd Foundations of Systems Biology in Engineering FOSBE 2007, 9–12 September, Stuttgart, Germany, pages 213–218, 2007.
[26]S. Streif, R. Findeisen, and E. Bullinger. Nonlinear sensitivity analysis of biochemical reaction networks, by bilinear approximation. In Proc. of the 2nd Foundations of Systems Biology in Engineering FOSBE 2007, 9–12 September, Stuttgart, Germany, pages 515–520, 2007.
[25]T. Eißing, S. Waldherr, C. Gondro, E. Bullinger, O. Sawodny, F. Allgöwer, P. Scheurich, and T. Sauter. Sensitivity analysis of programmed cell death and implications for crosstalk phenomena during Tumor Necrosis Factor stimulation. In Proc. of the IEEE Conference on Control Applications, 4–6 October, Munich, Germany, pages 1746–1752, 2006. (DOI)
[24]M. Farina, R. Findeisen, E. Bullinger, S. Bittanti, F. Allgöwer, and P. Wellstead. Results towards identifiability properties of biochemical reaction networks. In Proc. of the 45th IEEE Conf. on Decision and Control, San Diego, USA, pages 2104–2109, 2006. (DOI)
[23]S. Streif, R. Findeisen, and E. Bullinger. Relating cross Gramians and sensitivity analysis in systems biology. In Proc. of the 17th Int. Symposium on Mathematical Theory of Networks and Systems, Kyoto, Japan, pages 437–442, 24-28/07/2006.
[22]E. Bullinger. System analysis of a programmed cell death model. In Proc. of the 44th IEEE Conf. on Decision and Control & European Control Conference, ECC'05, Seville, Spain, pages 7994–7999, 2005. (DOI)
[21]C. Cimatoribus, T. Eißing, N. Elvassore, F. Allgöwer, and E. Bullinger. Model discrimination tools in apoptosis. In Proc. of the Foundations of Systems Biology in Engineering FOSBE 2005, 7–10 August, Santa Barbara, CA, USA, pages 197–200, 2005.
[20]I. Ofiteru, V. Lavric, F. Allgöwer, and E. Bullinger. Sensitivity analysis of Escherichia coli's Tricarboxilic Acid Cycle under anaerobic conditions. In Proc. of the Foundations of Systems Biology in Engineering FOSBE 2005, 7–10 August, Santa Barbara, CA, USA, pages 337–340, 2005.
[19]P. Wellstead, O. Mason, W. O'Connor, K.-H. Cho, E. Bullinger, O. Wolkenhauer, and S. Duncan. Towards a systems understanding of the cerebral motor circuit. In Proc. of the Foundations of Systems Biology in Engineering FOSBE 2005, 7–10 August, Santa Barbara, CA, USA, pages 185–188, 2005.
[18]M. Ederer, E. Bullinger, and T. Sauter. Structuring of the cellular metabolism into functional units with mathematical methods. In W. Klonowski, editor, Simplicity behind Complexity, Proc. 3rd European Interdisciplinary School on Nonlinear Dynamics for System and Signal Analysis, June 18–27, 2002, Warsaw, Poland, 3:450–457, 2004.
[17]P. Schumm, E. Bullinger, T. Schweickhardt, and F. Allgöwer. Der einsatz neuer medien in der regelungstechnischen ausbildung. In GMA-Kongress, Baden-Baden, pages 1061–1068, 2003.
[16]E. Bullinger and F. Allgöwer. Adaptive λ-tracking for higher relative degree systems. In 21st Benelux Meeting on Systems and Control, Veldhoven, The Netherlands, 19–21 March, 2002.
[15]E. Bullinger, T. Sauter, F. Allgöwer, and E. D. Gilles. On deriving a hybrid model for carbohydrate uptake in Escherichia Coli. In Proc. of the 15th IFAC World Congress, Barcelona, Spain, pages 19–24, 2002. (DOI)
[14]C. Burger, E. Bullinger, S. Papakosta, and T. Wagner. Context awareness for application sharing in teaching environment. In Int. Conf. Advances in Infrastructure for e-Business, e-Education, e-Science, and e-Medicine on the Internet (SSGRR 2002w), Aquila, Italy, 2002.
[13]C. Burger, S. Papakosta, E. Bullinger, and T. Wagner. Investigation of application sharing systems for teaching purposes in engineering disciplines. In 4th Int. Conf. New Educational Environment, Lugano, Switzerland, 2002.
[12]E. Bullinger, R. Findeisen, and F. Allgöwer. Adaptive λ-tracking of nonlinear systems with higher relative degree using reduced-order high gain control. In Proc. of the IFAC Nonlinear Control Systems Design, NOLCOS01, St. Petersburg, Russia, pages 92–97, 04-06/07/2001.
[11]L. Imsland, R. Findeisen, E. Bullinger, F. Allgöwer, and B. Foss. On output feedback nonlinear model predictive control using high gain observers for a class of systems. In 6th IFAC Symposium on Dynamics and Control of Process Systems, DYCOPS-6, Jejudo, Korea, pages 91–96, 06Q2001.
[10]A. Kremling, T. Sauter, E. Bullinger, M. Ederer, F. Allgöwer, and E. D. Gilles. Biosystems engineering: Applying methods from systems theory to biological systems. In Proc. of the 2nd Int. Conf. Systems Biology, Pasadena, CA, USA, pages 282–290, 2001.
[9]E. Bullinger and F. Allgöwer. Adaptive λ-tracking for nonlinear systems with higher relative degree. In Proc. of the 39th IEEE Conf. on Decision and Control, Sydney, Australia, pages 4771–4776, 2000. (DOI)
[8]E. Bullinger, R. Findeisen, F. Kraus, and F. Allgöwer. Some further results on adaptive λ-tracking for linear systems with high relative degree. In Proc. of the 2000 American Control Conf., 5:3655–3660, Chicago, Il, 2000. (DOI)
[7]E. Bullinger, C. W. Frei, T. J. Sieber, A. H. Glattfelder, F. Allgöwer, and A. M. Zbinden. Adaptive λ-tracking in anesthesia. In E. Carson and E. Salzsieder, editors, Proc. of the 4th IFAC Symposium Modelling and Control in Biomedical Systems, Greifswald, Germany, pages 181–186, 2000.
[6]E. Bullinger and F. Allgöwer. Adaptive λ-tracking for linear systems with higher relative degree—the continuous adaptation case. In Proc. of the 5th European Control Conference, ECC'99, Karlsruhe, Germany, :511, 08Q1999.
[5]E. Bullinger, A. Ilchmann, and F. Allgöwer. Piecewise constant high-gain adaptive λ-tracking for higher relative degree linear systems. In Proc. of the 14th IFAC World Congress, Beijing, China, 5:249–254, 1999.
[4]C. W. Frei, E. Bullinger, T. Sieber, A. H. Glattfelder, and A. M. Zbinden. Artefakttolerante Regelungen für die Anästhesie. In AUTOMED '99, Beiträge zum Workshop ``Automatisierungstechnische Verfahren für die Medizin'', 25./26. Februar, Darmstadt, 17(183):37–38, 1999.
[3]E. Bullinger, A. Ilchmann, and F. Allgöwer. A simple adaptive observer for nonlinear systems. In Proc. of the IFAC Nonlinear Control Systems Design, NOLCOS98, Enschede, The Netherlands, 3:781–786, 1998.
[2]E. Bullinger and F. Allgöwer. An adaptive high-gain observer for nonlinear systems. In Proc. of the 36th IEEE Conf. on Decision and Control, San Diego, USA, pages 4348–4353, 1997. (DOI)
[1]R. Bacher and E. Bullinger. Application of non-stationary iterative methods to an exact Newton-Raphson solution process for power flow equations. In 12th Power Systems Computation Conference, Dresden, Germany, pages 453–459, 1996.

Poster Presentations and Internal Reports

[20]S. Koulchitsky, J. Dethier, E. Bullinger, R. Sepulchre, and V. M. Seutin. Single-cell activity and local field potentials in the ventral tegmental area of awake, freely moving rats. In Neuroscience 2012, 13-17/10/2012.
[19]M. Schliemann, R. Findeisen, P. Scheurich, and E. Bullinger. Dose-response characterization of tumour necrosis factor induced pro- and anti-apoptotic signalling pathways: From experiment to mathematical modelling for optimizing and designing quantitative therapeutic strategies. In Biomedica 2012, The European Life Sciences Summit, 18-19/04/2012.
[18]D. Fey, S. Commins, and E. Bullinger. Modelling and simulation of rat swimming in a water maze experiment. In BioSysBio, 23–25 March 2009, Cambridge, UK, 23-25/03/2009.
[17]M. Schliemann, P. Scheurich, and E. Bullinger. A system understanding of TNF-α induced apoptotic and antiapoptotic signalling: Combining single cell and population modelling with dynamic and quantitative experiments. In BioSysBio, 23–25 March 2009, Cambridge, UK, 23-25/03/2009.
[16]D. Fey and E. Bullinger. Exploiting biology specific properties for the estimation of kinetic parameters. In 2nd International Workshop on Systems Biology, Maynooth, Ireland, 17–20 August 2008, 08Q2008.
[15]M. Schliemann, S. Borchers, P. Scheurich, and E. Bullinger. TNF-α induced apoptotic and anti-apoptotic signalling: A systems biology approach combining dynamic and quantitative experiments with mathematical modelling. In 2nd International Workshop on Systems Biology, Maynooth, Ireland, 17–20 August 2008, 17-20/08/2008. Best poster price awarded to M. Schliemann.
[14]D. Fey and E. Bullinger. Model extension facilitates parameter estimation for kinetic reaction networks. Proc. of the 2nd Foundations of Systems Biology in Engineering FOSBE 2007, 9–12 September, Stuttgart, Germany, 10/2007.
[13]D. Fey and E. Bullinger. Model extension facilitates parameter estimation for kinetic reaction networks. Proc. of the 8th Int. Conf. Systems Biology, Long Beach, CA, USA, 10/2007.
[12]D. Fey and E. Bullinger. Model extension facilitates parameter estimation for kinetic reaction networks. Computational Methods in Systems Biology (CMSB), Edinburgh, 09/2007.
[11]F. Kämper, O. Selchow, D. Kalamatianos, H. Wajant, K. Pfizenmaier, and E. Bullinger. High-throughput image analysis for the classification of subcellular localization patterns of fluorescently labelled proteins. In 7th International Conference on Systems Biology ICSB 2006, 9–11 October, Yokohama, Japan, 2006.
[10]M. Schliemann, T. Sauter, E. Bullinger, T. Eißing, F. Allgöwer, O. Sawodny, and P. Scheurich. Mathematical modelling of TNF induced apoptotic and anti-apoptotic crosstalk in mammalian cells. In Conference on Systems Biology of Mammalian Cells - SBMC 2006, 12–14 July, Heidelberg, Germany, 12-14/07/2006.
[9]T. Sauter, M. Schliemann, T. Eißing, E. Bullinger, E. D. Gilles, F. Allgöwer, and P. Scheurich. Mathematical modelling of TNF induced apoptosis and anti-apoptotic crosstalk in mammalian cells. 6th International Conference on Systems Biology ICSB 2005, 19–24 October, Boston, MA, USA, 10/2005.
[8]H. Conzelmann, J. Saez-Rodriguez, T. Sauter, E. Bullinger, F. Allgöwer, and E. D. Gilles. Domain oriented model reduction of signal transduction models. In Proc. of the 5th International Conference on Systems Biology - ICSB 2004, 9–13 October, Heidelberg, Germany, 2004.
[7]T. Eißing, H. Conzelmann, E. D. Gilles, F. Allgöwer, E. Bullinger, and P. Scheurich. Mathematical modelling applied to caspase activation reveals a requirement for additional control. In Proc. of the 5th International Conference on Systems Biology - ICSB 2004, 9–13 October, Heidelberg, Germany, 2004.
[6]H. Conzelmann, T. Sauter, E. Bullinger, F. Allgöwer, and E. D. Gilles. Modellreduktion und Analyse des metabolen Netzwerks der Zuckeraufnahme in Escherichia coli. Dechema Jahrestagung der Biotechnologen, München, 2003.
[5]A. Haubelt, E. Bullinger, T. Sauter, F. Allgöwer, and E. D. Gilles. Systems biology—a glossary from two perspectives. Proc. of the 3rd Int. Conf. Systems Biology, Stockholm, Sweden, 12/2002. see also url http://www.sysbio.de/projects/glossary/.
[4]A. Kremling, S. Fischer, F. Doyle III, K. Gadkar, T. Sauter, E. Bullinger, F. Allgöwer, and E. D. Gilles. A benchmark for methods in reverse engineering and model discrimination: Problem formulation and solutions. Proc. of the 3rd Int. Conf. Systems Biology, Stockholm, Sweden, 12/2002.
[3]R. Findeisen, E. Bullinger, and F. Allgöwer. On using high gain observers for control. BatchPro Meeting in Louvain-la-Neuve, Belgium, 11/2001.
[2]T. Sauter, E. Bullinger, F. Allgöwer, and E. D. Gilles. Hypothesis testing in Escherichia coli using mathematical modeling. Workshop: Complexity in Biosystems: Innovative Approaches at the Interface of Experimental and Computational Modeling, DIMACS, Rutgers University, Picataway, NJ, 04/2001.
[1]E. Bullinger and F. Kraus. Solvability of certain matrix inequalities. Technical Report 99-06, Automatic Control Laboratory, Swiss Federal Institute of Technology (ETH), Zürich, Switzerland, 03/1999.

Reviews

[4]M. Schliemann and E. Bullinger. Review of ‘A New Look at Disease: Parkinson's as seen through the eyes of an engineer’ by Peter Wellstead, Control System Principles, Stockport, United Kingdom, 2012, ISBN 978-0957386402. IEEE Control Systems Magazine, 34(1):70–71, 2014. (DOI)
[3]E. Bullinger and M. Schliemann. Review of ‘Computational Systems Biology of Cancer’ by Emmanuel Barillot, Laurence Calzone, Philippe Hupé, Jean-Philippe Vert and Andrei Zinovyev, Chapman & Hall/CRC, 2012. BioMedical Engineering OnLine, 12(1):76, 2013. (DOI)
[2]E. Bullinger and M. Schliemann. Review of three recent books on the boundary of bioinformatics and systems biology. BioMedical Engineering OnLine, 9(1):33, 2010. (DOI)
[1]E. Bullinger. Review of ‘Stochastic Modelling for Systems Biology’ by Darren Wilkinson. Biomed Eng Online, 5:64, 2006. (DOI)

Editorials

[2]H. Yue and E. Bullinger. Editorial on special issue on ‘Robustness in Systems Biology: Methods and Applications’. International Journal on Robust and Nonlinear Control, 20(9):961–1078, 2010. (DOI)
[1]G. B. Fogel, E. Bullinger, S.-F. Su, and F. Azuaje. Special section on machine intelligence approaches systems biology. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetic, 38(1):2–4, February/2008. (DOI)