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Worst Case Analysis of a Launcher Vehicle Using Surrogate Models., , , , , and . ROCOND, page 260-265. International Federation of Automatic Control, (2012)Modelling and Control of Gene Regulatory Networks for Perturbation Mitigation., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 16 (2): 583-595 (2019)Clearance of the VAAC Harrier CL002 flight control law using μ-analysis techniques., , and . ECC, page 1263-1268. IEEE, (2003)Validation of a model of the GAL regulatory system via robustness analysis of its bistability characteristics., , , , and . BMC Syst. Biol., (2013)On the role of ultrasensitivity in biomolecular control systems., , , , and . CDC, page 3602-3607. IEEE, (2012)Uncertainty Modelling and Stability Robustness Analysis of Nucleic Acid-Based Feedback Control Systems., , , and . CDC, page 1077-1082. IEEE, (2018)System identification of gene regulatory networks for perturbation mitigation via feedback control., , and . ICNSC, page 216-221. IEEE, (2017)Robust Safety Margin Assessment and Constrained Worst-Case Analysis of a Launcher Vehicle., , , , , and . ROCOND, page 254-259. International Federation of Automatic Control, (2012)Biologically inspired design of feedback control systems implemented using DNA strand displacement reactions., , , and . EMBC, page 1455-1458. IEEE, (2016)PID and State Feedback Controllers Using DNA Strand Displacement Reactions., , , and . IEEE Control. Syst. Lett., 3 (4): 805-810 (2019)