DYNAMIC MODEL OF CO2 UPTAKE BASED ON SYSTEM IDENTIFICATION

Y. Hashimoto, Y. Yi
For the better environmental control of crops, there seem several concepts of control. These are adaptive control and optimal control as well as feedforward control. Recently, artificial intelligence (AI) becomes prospective as well as fuzzy control or expert system for the environmental control. For these approaches, however, it should be inevitable that the dynamic behavior of physiological ecological processes as affected by the environmental factors might be modeled.

We have examined the dynamic model of CO2 uptake based on system identification, applying the system theory to the data obtained from the short-term measurement.

In this paper, we identified the CO2 uptake in the computer controlled growth chamber and estimated the parameter of both the light intensity and the CO2 gas concentration based on GMDH (Group Method of Data Handling). Nonlinear characteristics of CO2 uptake to light intensity and CO2 gas concentration are discussed.

Hashimoto, Y. and Yi, Y. (1989). DYNAMIC MODEL OF CO2 UPTAKE BASED ON SYSTEM IDENTIFICATION. Acta Hortic. 248, 295-300
DOI: 10.17660/ActaHortic.1989.248.35
https://doi.org/10.17660/ActaHortic.1989.248.35

Acta Horticulturae