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Feb 23, 2021 · This paper proposes an off-line algorithm, called Recurrent Model Predictive Control (RMPC), to solve general nonlinear finite-horizon optimal control problems.
Mar 1, 2022 · This article proposes an offline control algorithm, called recurrent model predictive control, to solve large-scale nonlinear finite-horizon ...
Feb 20, 2021 · This paper proposes an offline control algorithm, called Recurrent Model Predictive Control (RMPC), to solve large-scale nonlinear finite-horizon optimal ...
Abstract—This paper proposes an offline control algo- rithm, called Recurrent Model Predictive Control (RMPC), in order to solve large-scale nonlinear ...
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This paper presents the integration of a Recurrent Neural Network (RNN) model into a nonlinear model predictive control (MPC) to efficiently control the ...
Dec 28, 2021 · In this article, we propose the development of a recurrent neural network (RNN)-based model predictive controller (MPC) for a plasma etch ...
This paper proposes an off-line algorithm, called Recurrent Model Predictive Control, to solve general nonlinear finite-horizon optimal control problems, ...
This paper proposes an off-line algorithm, called Recurrent Model Predictive Control (RMPC), to solve general nonlinear finite-horizon optimal control problems.
Recurrent Model Predictive Control: Learning an Explicit ... - IEEE Xplore
ieeexplore.ieee.org › iel7
The use of recurrent structure allows RMPC to select an appropriate model prediction horizon according to current computing resources. The output of the learned ...
This article proposes an offline control algorithm, called recurrent model predictive control, to solve large-scale nonlinear finite-horizon optimal control ...