Distributionally robust dynamic optimisation for nonlinear switched system

非线性切换系统的分布鲁棒动态优化

• 批准号: DP190103361
• 负责人: Prof Kok Lay Teo
• 金额: $ 31.25万
• 依托单位: Curtin University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2019
• 资助国家: 澳大利亚
• 起止时间: 2019-02-21 至 2022-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP190103361
• 关键词: Distributionally; robust; dynamic; optimisation; nonlinear

Biochemical production utilising fermentation processes evidences poor product repeatability. This project aims to control and optimise 1,3-propanediol production via microbial fermentation. 1,3-propanediol is an essential ingredient for many polymeric materials and is present in cosmetics, personal care and cleaning products. New theory and parallel algorithms will be developed for the control and optimisation of the microbial fermentation of 1,3-propanediol production, where the bacteria kinetic parameters are uncertain without full knowledge of the probability distribution. This theory will also be applicable to other fermentation processes. The project outcomes are expected to significantly improve the productivity of the biochemical engineering industry involving fermentation processes.

利用发酵过程的生化生产证明产品的重复性较差。该项目旨在通过微生物发酵控制和优化 1,3-丙二醇的生产。 1,3-丙二醇是许多聚合物材料的重要成分，存在于化妆品、个人护理和清洁产品中。将开发新的理论和并行算法来控制和优化 1,3-丙二醇生产的微生物发酵，其中细菌动力学参数在不完全了解概率分布的情况下是不确定的。该理论也适用于其他发酵过程。该项目成果预计将显着提高涉及发酵过程的生化工程行业的生产力。