Steady state optimization with guaranteed stability of a tryptophan biosynthesis model |
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Authors: | Johannes Gerhard, Martin M nnigmann,Wolfgang Marquardt |
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Affiliation: | aAVT - Lehrstuhl für Prozesstechnik, RWTH Aachen University, D-52056 Aachen, Germany;bInstitut für Wärme- und Brennstofftechnik, Technische Universität Braunschweig, Postfach 3329, D-38023 Braunschweig, Germany |
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Abstract: | In this article we address the steady state design of a nonlinear tryptophan biosynthesis model with guaranteed stability of the optimal solution in the presence of parametric uncertainty. The optimization based approach – denoted constructive nonlinear dynamics (CNLD) – is based on constraints that enforce a minimal distance in the space of the uncertain parameters between a stability boundary and the optimal solution. The results obtained with CNLD are compared to results recently presented by Chang and Sahinidis [Chang, Y. J., & Sahinidis, N. V. (2005). Optimization of metabolic pathways under stability considerations. Computers and Chemical Engineering, 29 (3), 467–479], where the optimization of the tryptophan biosynthesis model was addressed by a global optimization algorithm. CNLD takes the nonlinearities of the process exactly into account and satisfies the specified robustness criteria without being overly conservative. |
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Keywords: | Optimization NLP Robust stability Parametric uncertainty Hopf bifurcation Tryptophan biosynthesis |
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