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Data-driven model predictive control with stability and robustness guarantees

, , , and . IEEE Trans. Automat. Control, 66 (4): 1702-1717 (2021)
DOI: 10.1109/TAC.2020.3000182

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Reconstructing dynamic processes from high dimensional snap shot data, , , and . Int.\ Conf.\ on Systems Biology, (2017)Mechanism of PP2A-mediated IKK dephosphorylation: a systems biological approach, , , , , , and . BMC Systems Biology, (2009)3:71 http://www.biomedcentral.com/1752-0509/3/71.Semi-regional stability results for output-feedback nonlinear predictive control, , , and . (2002)In Proceedings of Gesellschaft für Angewandte Mathematik und Mechanik Annual Meeting, GAMM.Struktureignungsmaße zur nichtlinearen Systemidentifikation, and . 31.~Regelungstechnisches Kolloquium, Boppard, (1997)To Be or Not to Be - Mathematical Systems Theory to Analyze Biological Signal Processing, , and . in Themenheft Forschung, volume 1, pages 32-40, Universität Stuttgart, Germany, (2005)Determining cell-cycle induced variations from snap-shot data sets, and . Proc.\ 5th Conf.\ Systems Biology of Mammalian Cells (SBMC), (2014)Networked Control Systems with advanced interfaces between control and communication, and . Poster at 2nd Int.\ Conf.\ on Simulation Technology, (2018)Inferring cell-cycle dependent signalling with age-structured population models, and . International Conference on Systems Biology of Human Disease, (July 2015)On the potential of event-based sampling for control with limited data rate, and . Talk at the Workshop on Information and Communication Theory in Control Systems, (2017)Data-Driven Model Predictive Control with Stability and Robustness Guarantees, , , and . Learning for Dynamics and Control Conference, Cambridge, MA, USA, (2019)