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Robust MPC with Zone Tracking
We propose a robust nonlinear model predictive control design with generalized zone tracking (ZMPC) in this work.
Model predictive control of agro-hydrological systems based on a two-layer neural network modeling framework
To handle the tracking offset caused by the plant-model-mismatch of the proposed NN framework, a shrinking target zone is proposed for the ZMPC.
A comparative study of model approximation methods applied to economic MPC
Economic model predictive control (EMPC) has attracted significant attention in recent years and is recognized as a promising advanced process control method for the next generation smart manufacturing.
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