Deep Neural Networks

Deep Learning-Based Approximation of Model Predictive Control Laws Using Mixture Networks
Model Predictive Control (MPC) is an optimization-based control scheme exploited in various industrial processes. It determines optimal …
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Approximation of Nonlinear Model Predictive Control Using Mixture Density Networks
Model Predictive Control (MPC) is an advanced control method broadly applied to chemical processes. However, the prohibitive online …
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Deep-Learning-Based Predictive Control of Battery Management for Frequency Regulation
This paper proposes a deep-learning-based optimal battery management scheme for frequency regulation (FR) by integrating model …
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Deep neural network approximation of nonlinear model predictive control
This paper focuses on developing effective computational methods to enable the real-time application of model predictive control (MPC) …
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