This paper presents a hybrid control strategy, combining Radial Basis Function (RBF) network with conventional proportional, integral, and derivative (PID) controllers, for the greenhouse climate control. A model of nonlinear conservation laws of enthalpy and matter between numerous system variables affecting the greenhouse climate is formulated. RBF network is used to tune and identify all PID...

Although recent studies have documented that perceived negative school climate is associated with adolescent Internet addiction, little is known about the mediating and moderating mechanisms underlying this relation. The present study examined whether deviant peer affiliation mediated the relationship between perceived school climate and adolescent Internet addiction, and whether this mediating...

The methodology proposed in the paper applies artificial intelligence (AI) techniques to the modeling and control of some climate variables within a greenhouse. The nonlinear physical phenomena governing the dynamics of temperature and humidity in such systems are, in fact, difficult to model and control using traditional techniques. The paper proposes a framework for the development of soft co...

Most climate control systems in glasshouses are based on single variable regulation using manually tuned two and three term (PI and PID) controllers. Current research on carbon dioxide (CO2) enrichment and optimal growth strategies suggests that such controllers no longer provide sufficiently tight control over the climate variables and there is a need for superior multivariable control using m...

The Community Climate System Model, version 2 (CCSM2) is briefly described. A 1000-yr control simulation of the present day climate has been completed without flux adjustments. Minor modifications were made at year 350, which included all five components using the same physical constants. There are very small trends in the upper-ocean, sea ice, atmosphere, and land fields after year 150 of the ...