Constrained discrete model predictive control of a greenhouse system temperature

In this paper, a constrained discete model predictive control (CDMPC) strategy for greenhouse inside temperature is presented. To describe the dynamics of our system’s temperature, an experimental prototype engaged. For mathematical modeling, state space form which fits properly acquired data identified using subspace system identification (N4sid) algorithm. The obtained used in order to develop CDMPC starategy role select best moves based on optimization procedure under constraints notion. efficient evaluation proposed approach Matlab/Simulink and Yalmip toolbox are algorithm blocks implementation. simulation results confirm accuracy controller that garantees both reference tracking objectives.