Robust optimal control of a biochemical reactor with multiple objectives

Authors

• F. Logist, B. Houska, M. Diehl, J. Van Impe

Reference

• Computer Aided Chemical Engineering,
  Volume 29, pages 1460 - 1464, 2011.

Abstract

This paper studies the optimal control of a fed-batch fermentor with conflicting productivity and yield objectives under uncertainty. To generate the robustified Pareto sets for different uncertainty levels, a novel scalarisation based multi-objective approach (i.e., normalised normal constraint) is combined with a recent linearisation based robust optimal control approximation method. This combination allows the use of fast gradient based optimisation routines and ensures an accurate and efficient Pareto set generation.

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