ROBUSTNESS OF DYNAMICAL TEMPERATURE AND HUMIDITY MODELS IN CONTROLLED AGRICULTURE

The main objective of this paper is to fit temperature and humidity as a natural system of ordinary differential equations for different scenarios with asymmetrical histograms, as well as satisfying somehow sensitivity and robustness by using their derivatives and integrals. First, the scenario with lower humidity corresponding to dry conditions is used as a reference; second, high humidity is analyzed, and third; not only the dynamical stability is explored by one Hamiltonian, but also the parametric values of the quadratic form are calculated. Since the intensive computational involved with a huge database, the gathered data is split and managed by using Excel, Matlab and R software with windows platform. As a result, precision and accuracy in more complex predictable models are described with nonlinear relationships like quadratic forms.