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data-enabled-predictive-control

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Zhang-Xuewen / Deep-DeePC

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This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning by X. Zhang, K. Zhang, Z. Li, and X. Yin. The objective of this work is to learn the DeePC operator using a neural network and bypass online optimization of conventional DeePC for efficient online implementation.

machine-learning deep-learning model-predictive-control process-control data-driven-control data-enabled-predictive-control nonlinear-processes computationally-efficient-controller deep-deepc
  • Updated Dec 2, 2024
  • Python

Sohrab-rz / Comparative-Analysis-of-Data-Driven-Predictive-Control-Strategies

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This repository contains simulation codes generated for the paper titled "Comparative Analysis of Data-Driven Predictive Control Strategies," published in the 9th International Conference on Control, Instrumentation, and Automation in 2023. The paper is authored by Ali Rezaei & Ali Khaki-Sedigh.

data-driven control-systems predictive-control data-enabled-predictive-control mfapc model-free-adaptive-predictive-control willems-koopman-predictive-control data-driven-model-predictive-control
  • Updated Nov 6, 2024
  • MATLAB

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