Nonlinear Model Predictive Control

Using stochastic programming to train neural network approximation of nonlinear MPC laws
To facilitate the real-time implementation of nonlinear model predictive control (NMPC), this paper proposes a deep learning-based NMPC …
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Real-time feasible multi-objective optimization based nonlinear model predictive control of particle size and shape in a batch crystallization process
This paper presents nonlinear model predictive control (NMPC) and nonlinear moving horizon estimation (MHE) formulations for …
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Parallel solution of robust nonlinear model predictive control problems in batch crystallization
Representing the uncertainties with a set of scenarios, the optimization problem resulting from a robust nonlinear model predictive …
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