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Projects

📌 Reduced-order Koopman-based modeling and robust predictive control

📌 Learning-enabled hybrid modeling and economic model predictive control

📌 Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning + Source code

Methods

🔬 Machine learning based modeling

🔬 Model predictive control

🔬 Date-enabled predictive control

🔬 Cross-entropy method

Applications

✨ Reactor-separator process

✨ Gene regulatory network

✨ Shipboard post-combustion carbon capture process

Toolboxes

💼 deepctools for data-enabled predictive control

💼 modlinear for model linearization

💼 QYtool for research needs

Pinned Loading

  1. Deep-DeePC Deep-DeePC Public

    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 th…

    Python 3 2

  2. DeePCtools DeePCtools Public

    A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objective functions.

    Python 10

  3. ModLinear ModLinear Public

    A wrapped package to linearize the nonlinear continuous/discrete model. Including **numerical** and **symbolic** calculations.

    Python 1

  4. QYtool QYtool Public

    A wrapped useful tool package designed for research purposes, tailored specifically for my own research needs.

    Python

  5. Introduction-to-Jekyll Introduction-to-Jekyll Public

    Introduction to Jekyll