[36] Padmanabha, M.; Streif, S.: Design and Validation of a Low Cost Programmable Controlled Environment for Study and Production of Plants, Mushroom, and Insect Larvae. Applied Sciences, Vol. 9(23). November 2019. [URL] [DOI] [BIB]
[35] Reeh, H.; Rudolf, N.; Billing, U.; Christen, H.; Streif, S.; Bullinger, E.; Schliemann-Bullinger, M.; Findeisen, R.; Schaper, F.; Huber, H. J.; Dittrich, A.: 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, Vol. 17(1), pp. 46. May 2019. [URL] [DOI] [BIB]
[34] Göhrt, T.; Osinenko, P.; Streif, S.: Adaptive dynamic programming using Lyapunov function constraints. IEEE Control Systems Letters, Vol. 3(4). May 2019. [DOI] [BIB]
[33] Osinenko, P.; Devadze, G.; Streif, S.: Practical stability analysis of sliding-mode control with explicit computation of sampling time. Asian Journal of Control. February 2019. [DOI] [BIB]
[32] Osinenko, P.; Devadze, G.; Streif, S.: Constructive analysis of eigenvalue problems in control under numerical uncertainty. International Journal of Control, Automation and Systems. 2019. [BIB]
[31] Göhrt, T.; Osinenko, P.; Streif, S.: Converse optimality for discrete-time systems. IEEE Transactions on Automatic Control. 2019. [DOI] [BIB]
[30] Paulson, J. A.; Streif, S.; Findeisen, R.; Braatz, R. D.; Mesbah, A.: Fast Stochastic Model Predictive Control of End-to-end Continuous Pharmaceutical Manufacturing. Process Systems Engineering for Pharmaceutical Manufacturing, Vol. 41, pp. 353-378. January 2018. [DOI] [BIB]
[29] Osinenko, P.; Streif, S.: Analysis of extremum value theorems for function spaces in optimal control under numerical uncertainty. IMA Journal of Mathematical Control and Information. 2018. [URL] [DOI] [BIB]
[28] Osinenko, P.; Beckenbach, L.; Streif, S.: Practical sample-and-hold stabilization of nonlinear systems under approximate optimizers. IEEE Control Systems Letters (L-CSS), Vol. 2(4), pp. 569-574. 2018. [URL] [DOI] [BIB]
[27] Osinenko, P.; Devadze, G.; Streif, S.: Constructive analysis of Caratheodory's existence and uniqueness theorem. IEEE/CAA Journal of Automatica Sinica, Vol. 5(4), pp. 787-793. 2018. [URL] [DOI] [BIB]
[26] Beckenbach, L.; Osinenko, P.; Streif, S.: Addressing infinite-horizon optimality in MPC via Q-learning. IFAC-PapersOnLine, Vol. 51(20), pp. 60-65. 2018. Proc. of the 6th IFAC Conference on Nonlinear Model Predictive Control (NMPC). [DOI] [BIB]
[25] Osinenko, P.; Göhrt, T.; Devadze, G.; Streif, S.: Stacked adaptive dynamic programming with unknown system model. IFAC-PapersOnLine, Vol. 50(1), pp. 4150-4155. 2017. 20th IFAC World Congress. [URL] [DOI] [BIB]
[24] Osinenko, P.; Streif, S.: Optimal traction control for heavy-duty vehicles. Control Engineering Practice, Vol. 69, pp. 99-111. 2017. [URL] [DOI] [BIB]
[23] Bocklisch, F.; Bocklisch, S. F.; Beggiato, M.; Krems, J.: Adaptive fuzzy pattern classification for the online detection of driver lane change intention. Neurocomputing, Vol. 262, pp. 148-158. 2017. [URL] [DOI] [BIB]
[22] Streif, S.; Kim, K. K.; Rumschinski, P.; Kishida, M.; Shen, D. E.; Findeisen, R.; Braatz, R. D.: Robustness analysis, prediction, and estimation for uncertain biochemical networks: An overview. Journal of Process Control, Vol. 42, pp. 14-34. June 2016. [URL] [DOI] [BIB]
[21] Rudolph, N.; Streif, S.; Findeisen, R.: Set-based Experiment Design for Model Discrimination Using Bilevel Optimization. IFAC-PapersOnLine, Vol. 49(26), pp. 295-299. 2016. Foundations of Systems Biology in Engineering - FOSBE 2016. [URL] [DOI] [BIB]
[20] Hast, D.; Findeisen, R.; Streif, S.: Detection and isolation of parametric faults in hydraulic pumps using a set-based approach and quantitative-qualitative fault specifications. Control Engineering Practice, Vol. 40, pp. 61-70. July 2015. [URL] [DOI] [BIB]
[19] Bocklisch, S. F.; Bocklisch, F.: Fuzzy-Pattern-Klassifikatoren als Modelle. Informatik-Spektrum, Vol. 38(6), pp. 510-522. 2015. [URL] [DOI] [BIB]
[18] Mesbah, A.; Streif, S.: A Probabilistic Approach to Robust Optimal Experiment Design with Chance Constraints. IFAC-PapersOnLine, Vol. 48(8), pp. 100-105. Whistler, Canada. 2015. [URL] [DOI] [BIB]
[17] Rudolph, N.; Meyer, T.; Franzen, K.; Garbers, C.; Schaper, F.; Streif, S.; Dittrich, A.; Findeisen, R.: A Two-level Approach for Fusing Early Signaling Events and Long Term Cellular Responses. IFAC-PapersOnLine, Vol. 48(8), pp. 1228-1233. Whistler, Canada. 2015. [URL] [DOI] [BIB]
[16] Rausch, M.; Klein, R.; Streif, S.; Pankiewitz, C.; Findeisen, R.: Modellbasierte Zustandsschätzung für Lithium-Ionen-Batterien (engl. Model-based State Estimation for Lithium-ion Batteries). at -- Automatisierungstechnik, Vol. 62(4), pp. 296-311. March 2014. Special issue: Elektromobilität. [DOI] [BIB]
[15] Borchers, S.; Freund, S.; Rath, A.; Streif, S.; Reichl, U.; Findeisen, R.: Identification of Growth Phases and Influencing Factors in Cultivations with AGE1.HN Cells Using Set-Based Methods. PLoS ONE, Vol. 8(8), pp. e68124. August 2013. [URL] [DOI] [BIB]
[14] Rudolph, M.; Hempel, A.: Unscharfe Klassifikation von Messdaten zur Maschinenüberwachung. wt Werkstattstechnik (online), Vol. 103(1112), pp. 915-920. 2013. [URL] [BIB]
[13] Waldherr, S.; Streif, S.; Allgöwer, F.: Design of biomolecular network modifications to achieve adaptation. IET Systems Biology, Vol. 6, pp. 223-231. December 2012. [DOI] [BIB]
[12] Kreysing'], [.; Pusch'], [.; Haverkate'], [.; Landsberger'], [.; Engelmann'], [.; Ruiter'], [.; Mora-Ferrer'], [.; Ulbricht'], [.; Grosche'], [.; Franze'], [.; Streif'], [.; Schumacher'], [.; Makarov'], [.; Kacza'], [.; Guck'], [.; Wolburg'], [.; Bowmaker'], [. K.; Emde'], [. v. d.; Schuster'], [.; Wagner'], [.; Reichenbach'], [.; Francke'], [.: Photonic Crystal Light Collectors in Fish Retina Improve Vision in Turbid Water. Science, Vol. 336(6089), pp. 1700-1703. 2012. [URL] [DOI] [BIB]
[11] Rumschinski, P.; Streif, S.; Findeisen, R.: Combining qualitative information and semi-quantitative data for guaranteed invalidation of biochemical network models. International Journal of Robust and Nonlinear Control, Vol. 22(10), pp. 1157-1173. 2012. [URL] [DOI] [BIB]
[10] Streif, S.; Savchenko, A.; Rumschinski, P.; Borchers, S.; Findeisen, R.: ADMIT: a toolbox for guaranteed model invalidation, estimation and qualitative-quantitative modeling. Bioinformatics, Vol. 28(9), pp. 1290-1291. 2012. [URL] [DOI] [BIB]
[9] Streif, S.: Understanding Phototaxis of Halobacterium salinarum: A Systems Biology Approach. Vol. 1. May 2011. [DOI] [BIB]
[8] Streif, S.; Oestherhelt, D.; Marwan, W.: A predictive computational model of the kinetic mechanism of stimulus-induced transducer methylation and feedback regulation through CheY in archaeal phototaxis and chemotaxis. BMC Systems Biology, Vol. 4(27). March 2010. [URL] [DOI] [BIB]
[7] Hempel, A.; Bocklisch, S. F.: Fuzzy Pattern Modelling of Data Inherent Structures Based on Aggregation of Data with Heterogeneous Fuzziness. Modelling Simulation and Optimization, pp. 637-655. 2010. [URL] [BIB]
[6] Streif, S.; Waldherr, S.; Allgöwer, F.; Findeisen, R.: Steady state sensitivity analysis of biochemical reaction networks: a brief review and new methods. Systems Analysis of Biological Networks, pp. 129-148. Boston/London. August 2009. [URL] [BIB]
[5] Ohtsuka, T.; Streif, S.: Commutativity of immersion and linearization. IEEE Transactions on Automatic Control, Vol. 54(4), pp. 826-829. April 2009. [DOI] [BIB]
[4] Schlesner, M.; Miller, A.; Streif, S.; Staudinger, W. F.; Müller, J.; Scheffer, B.; Siedler, F.; Oesterhelt, D.: Identification of Archaea-specific chemotaxis proteins which interact with the flagellar apparatus. BMC Microbiology, Vol. 9(56). March 2009. [URL] [DOI] [BIB]
[3] Streif, S.; Staudinger, W. F.; Oesterhelt, D.; Marwan, W.: Quantitative analysis of signal transduction in motile and phototactic cells by computerized light stimulation and model based tracking. Review of Scientific Instruments, Vol. 80(2), pp. 023709. February 2009. [URL] [DOI] [BIB]
[2] Streif, S.; Staudinger, W. F.; Marwan, W.; Oesterhelt, D.: Flagellar rotation in the archaeon Halobacterium salinarum depends on ATP. Journal of Molecular Biology, Vol. 384, pp. 1-8. August 2008. [DOI] [BIB]
[1] Rosario, R. C. d.; Staudinger, W. F.; Streif, S.; Pfeiffer, F.; Mendoza, E.; Oesterhelt, D.: Modeling the CheY(D10K,Y100W) Halobacterium salinarum mutant: sensitivity analysis allows choice of parameter to be modified in the phototaxis model. IET Systems Biology, Vol. 1(4), pp. 207-221. July 2007. [DOI] [BIB]