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.

引用

页数：6

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