Deep Neural Network

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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Data-driven lithium-ion battery capacity estimation from voltage relaxation
Accurate capacity estimation is critical for reliable and safe operation of lithium-ion batteries. A proposed approach exploiting …
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