Preferences based Control Design of Complex Fed-batch Cultivation Process

Abstract

In the paper is presented preferences based control design and stabilization of the growth rate of fed-batch cultivation processes. The control is based on an enlarged Wang-Monod-Yerusalimsky kinetic model. Expected utility theory is one of the approaches for utilization of conceptual information (expert preferences). In the article is discussed utilization of stochastic machine learning procedures for evaluation of expert utilities as criteria for optimization.

Keywords

• Preferences
• Utility function
• Fed-batch
• Yerusalimsky kinetic
• Brunovsky normal form
• Optimal control