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In this work, a Lyapunov-based predictive control method utilizing deep learning techniques is proposed for driving continuous-time nonlinear processes towards�...
In this work, a Lyapunov-based predictive control method utilizing deep learning techniques is proposed for driving continuous-time nonlinear processes towards�...
Aug 8, 2024 � In this work, a Lyapunov-based predictive control method utilizing deep learning techniques is proposed for driving continuous-time�...
Feb 20, 2024 � The following is the main code of the CLF controller corresponding to the revised paper "Stable Predictive Control of Continuous�...
Therefore, we conducted this study to review the accuracy of image-based deep learning in detecting coronary artery stenosis. Methods We retrieved PubMed,�...
Sep 9, 2020 � This work proposes a deep learning-based model predictive control (DeepMPC) to model and control the CSTR system.
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In this work, a Lyapunov-based predictive control method utilizing deep learning techniques is proposed for driving continuous -time nonlinear processes towards�...
Stable predictive control of continuous stirred-tank reactors using deep learning ... Learning-based model predictive control: toward safe learning in control�...
Sep 11, 2020 � This work proposes a deep learning-based model predictive control (DeepMPC) to model and control the CSTR system. The proposed DeepMPC consists�...
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Control of Continuous Stirred Tank Reactor Using Artificial Neural Networks Based Predictive Control � Nonlinear continuous stirred tank reactor (CSTR)�...