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process-control

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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.

  • Updated Dec 17, 2024
  • Python

Pilot architecture for contaminated liquid remediation with intake protection, oil/solids separation, final filtration, verification sensors, startup checks, staged shutdowns, and auditable routing to discharge, recirculation, or hold.

  • Updated Apr 24, 2026
  • Python

BMP Monitor is a Python/Flask system for real-time monitoring and analysis of bench-scale CSTR biodigesters for BMP assays, with PID control, data storage, gas calculations, and support for simulation or ESP32/Arduino integration.

  • Updated Apr 5, 2026
  • Python

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