Nonlinear Model Predictive Control via Feedback Linearization of a Greenhouse

Abstract A control scheme for nonlinear systems is proposed here, combining the techniques of Feedback Linearization (FL) and Model Predictive Control (MPC). Since the methodology used for solving the MPC+FL generally leads to an optimization problem subjected to state-dependent non-linear constraints, an alternative for implementation is discussed. Such an alternative considers an Extended Kalman Filter (EKF) to evaluate the non-measurable state variables of the greenhouse. The performance of two control techniques are compared, namely, MPC+FL and NLMPC.