State estimation;
receding-horizon observer;
process monitoring;
biotechnology;
PARAMETER-ESTIMATION;
STATE ESTIMATION;
OBSERVABILITY;
OPTIMIZATION;
BIOPROCESSES;
GROWTH;
D O I:
10.1080/00207179.2019.1608372
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
For process optimisation purposes, it is of interest to monitor the concentration of monoclonal antibody produced by cultures of hybridoma cells. However, the on-line hardware measurement of this concentration is difficult and the design of a software sensor is the most appropriate alternative. As the process model is uncertain, a robust estimation strategy is needed, and in this study, an interval observer based on the principle of full-horizon estimation is developed and evaluated in realistic experimental conditions. The observer is based on a data-driven model and involves the solution of a nonlinear programming problem at each sampling time. The results are satisfactory and appear as a practical solution to the soft sensor development.
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收藏
页码:2719 / 2728
页数:10
相关论文
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