Modelling of a biological process

Abstract

the purpose of this paper is to present an application of modelling and identifying technique using three different least-squares methods for identifying a semi-known complex biological process in evolution. The considered phenomenna is the existence and the development of toxic micro-organisms in sea water.

Basing upon the on-site periodically taken sampled data (physical, chemical, and biological), we construct our black box model for predicting and controlling the process. The model constructed is a state model.

According to the physical and chemical mechanisms of micro-vegetal nutrition, we have developed a state linear model with secondary monitor which gives an alarm when the concentration level becomes higher than a priori fixed threshold. This alarm leads us to investigate the aquaculture in the region.

Using this technique permits us to avoid the costly systematic control operations. The target of this study is to develop an automatic sampler detector system.