Parameter Identification of Bacterial Growth Bioprocesses using Particle Swarm Optimization

被引：0
|
作者：
Sendrescu, Dorin [1 ]
Roman, Monica [1 ]
机构：
[1] Univ Craiova, Dept Automat Control, Craiova, Romania
来源：
2013 9TH ASIAN CONTROL CONFERENCE (ASCC) | 2013年
关键词：
system identification; paticle swarm optimization; biotechnological systems;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper deals with the off-line parameters identification for a class of bacterial growth bioprocesses using particle swarm optimization (PSO) techniques. Particle swarm optimization is a relatively new heuristic method that has produced promising results for solving complex optimization problems. In this paper one uses some variants of the PSO algorithm for parameter estimation of a complex biotechnological system. The identification problem is formulated as a multi-modal numerical optimization problem with high dimension. The performances of the method are analyzed by numerical simulations.
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页数：6
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