Identificación de un modelo del clima en un invernadero mediante métodos por subespacios

this paper presents the development of a climate dynamics model for a greenhouse located on the bogota plateau. a black-box model was estimated from experimental data, considering a novel system structure derived from a first principles model and experimental tests. it considered two control volumes, one given by the air over the crop and a second one formed by the air trapped by crop foliage. the model was selected from a set of linear, discrete-time, statevariable systems using subspace identification methods. the estimated system was able to predict climate dynamics for both control volumes, having errors below 8%. such performance was comparable to previous work reported in literature while the obtained model was a low-complexity linear system