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Dynamical optimization using reduced order models: A method to guarantee performance.

, , , and . J. Proc. Contr., 22 (8): 1490-1501 (2012)available online doi: 10.1016/j.jprocont.2012.01.017.

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Steady state stability preserving nonlinear model reduction using sequential convex optimization, , and . Proc. 50th IEEE Conf. Decision and Control (CDC), European Control Conf. (ECC), page 7158-7163. Orlando, FL, USA, (2011)Optimierung mittels reduzierter Modelle mit garantierter Güte, , , and . Tagungsband Workshop GMA-Fachausschuss 1.30 ``Modellbildung, Identifikation und Simulation in der Automatisierungstechnik'', (2011)Trajectory-based model reduction of nonlinear biochemical networks employing the observability normal form, , and . Proceedings of the 18th IFAC World Congress, 2011, Milano, Italy, (2011)Dynamical optimization using reduced order models: A method to guarantee performance., , , and . J. Proc. Contr., 22 (8): 1490-1501 (2012)available online doi: 10.1016/j.jprocont.2012.01.017.Trajectory-based model reduction of nonlinear biochemical networks employing the observability normal form, , and . Proc. 18th IFAC World Congress, page 10442-10447. Milano, Italy, (2011)Model predictive control using reduced order models: Guaranteed stability for constrained linear systems, , , , and . J. Proc. Contr., 24 (11): 1647-1659 (2014)Dynamical optimization using reduced order models: A method to guarantee performance, , , and . Journal of Process Control, 22 (8): 1490--1501 (2012)Model predictive control using reduced order models: Guaranteed stability for constrained linear systems, , , , and . Journal of Process Control, 24 (11): 1647--1659 (2014)