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Open AccessLearning-based nonlinear model predictive control with accurate uncertainty compensation
A learning-based nonlinear model predictive control (LBNMPC) method is proposed in this paper for general nonlinear systems under system uncertainties and subject to state and input constraints. The proposed L...
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Article
Open AccessA deep convolutional neural network for real-time full profile analysis of big powder diffraction data
We present Parameter Quantification Network (PQ-Net), a regression deep convolutional neural network providing quantitative analysis of powder X-ray diffraction patterns from multi-phase systems. The network i...