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Projects

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

📌 Learning-enabled hybrid modeling and economic model predictive control

📌 Data-enabled predictive control (DeePC)

Methods

🔬 Machine learning based modeling

🔬 Model predictive control

🔬 Cross-entropy method

Applications

✨ Reactor-separator process

✨ Shipboard post-combustion carbon capture process

Toolboxes

💼 deepctools for data-enabled predictive control

💼 modlinear for model linearization

Pinned

  1. DeePCtools DeePCtools Public

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

    Python

  2. ModLinear ModLinear Public

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

    Python 1

  3. Introduction-to-Jekyll Introduction-to-Jekyll Public

    Introduction to Jekyll