Nonlinear process control
Model-based predictive control of greenhouse climate for reducing energy and water consumption
Computers and Electronics in Agriculture
Cruise control using model predictive control with constraints
Computers and Electronics in Agriculture
Towards an adaptive model for greenhouse control
Computers and Electronics in Agriculture
Control of a radiative furnace under precise and uncertainty conditions
WSEAS Transactions on Systems and Control
Feedback linearization based control of a horizontal radiative furnace
ROCOM'09 Proceedings of the 9th WSEAS international conference on Robotics, control and manufacturing technology
The expression of control law for zone constraints predictive control
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
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A scheme for temperature control of a greenhouse is presented. The present work proposes an approach based on a combination of two different control schemes: Feedback Linearization (FL) and standard linear Model Predictive Control (MPC), using their advantages. The treated greenhouse is considered a non-linear Single-Input-Single-Output process and subject to strong external disturbances. Since the methodology used for solving the MPC+FL approaches generally leads to an optimization problem subject to state-dependent non-linear constraints, an alternative for its implementation is discussed. Two control techniques are compared, namely MPC+FL and Non-linear Model Predictive Control (NLMPC).