Abstract
In this paper, we will study the problem in fed-batch culture of glycerol producing 1,3-propanediol induced by Klebsiella pneumonia. In practice, the concentrations of intracellular substances are difficult to be measured. To address this problem, quantitative biological robustness is introduced to identify the unknown parameters related to the concentrations of intracellular substances. The problem is formulated as an optimization problem governed by a nonlinear state-dependent impulsive switched (NSDIS) system with unknown switching times and a set of system parameters. The formulated optimization problem is subject to parameter constraints and continuous state inequality constraints. The time scaling transformation, an exact penalty method and binary relaxation approach are introduced to solve the problem. Due to the complexity of the formulated problem, a hybrid parallel algorithm through integrating artificial bee colony algorithm and gradient-based exact penalty approach is proposed. The effectiveness of our proposed method is validated through numerical experiments.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
