Machine learning‐based predictive control of nonlinear processes. Part I: theory
This article focuses on the design of model predictive control (MPC) systems for nonlinear
processes that utilize an ensemble of recurrent neural network (RNN) models to predict …
processes that utilize an ensemble of recurrent neural network (RNN) models to predict …
[PDF][PDF] Machine learning-based predictive control of nonlinear processes. Part I: Theory
Z Wu, A Tran, D Rincon, PD Christofides - pdclab.seas.ucla.edu
This article focuses on the design of model predictive control (MPC) systems for nonlinear
processes that utilize an ensemble of recurrent neural network (RNN) models to predict …
processes that utilize an ensemble of recurrent neural network (RNN) models to predict …
[PDF][PDF] Machine learning-based predictive control of nonlinear processes. Part I: Theory
Z Wu, A Tran, D Rincon, PD Christofides - blog.nus.edu.sg
This article focuses on the design of model predictive control (MPC) systems for nonlinear
processes that utilize an ensemble of recurrent neural network (RNN) models to predict …
processes that utilize an ensemble of recurrent neural network (RNN) models to predict …
Machine learning‐based predictive control of nonlinear processes. Part I: Theory
Z Wu, A Tran, D Rincon, PD Christofides - AIChE Journal, 2019 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> This article focuses on the design of model
predictive control (MPC) systems for nonlinear processes that utilize an ensemble of …
predictive control (MPC) systems for nonlinear processes that utilize an ensemble of …
Machine learning‑based predictive control of nonlinear processes. Part I: Theory
Z Wu, A Tran, D Rincon, PD Christofides - AIChE Journal, 2019 - ui.adsabs.harvard.edu
This article focuses on the design of model predictive control (MPC) systems for nonlinear
processes that utilize an ensemble of recurrent neural network (RNN) models to predict …
processes that utilize an ensemble of recurrent neural network (RNN) models to predict …
Machine learning‐based predictive control of nonlinear processes. Part I: Theory.
Z Wu, A Tran, D Rincon, PD Christofides - AIChE Journal, 2019 - search.ebscohost.com
This article focuses on the design of model predictive control (MPC) systems for nonlinear
processes that utilize an ensemble of recurrent neural network (RNN) models to predict …
processes that utilize an ensemble of recurrent neural network (RNN) models to predict …