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This project contributes to the research area of dynamic reconfiguration in automatic control systems, specifically applied to temperature regulation in floriculture. The focus es on designing and implementing a Neuro-PID control system based on neural networks, leveraging its advanced capabilities in information retention and adaptive control processes. By integrating current technological advancements, the project aims to optimize the temperature control within floricultural environments, ensuring optimal conditions for plant growth and development. The implementation of Neuro-PID control offers significant improvements in maintaining precise and stable temperature levels, contributing to the overall efficiency and productivity of floricultural operations.

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Neuro-PID Control for Temperature Optimization in Floricultural Air Conditioning Systems

  • 会议论文

  • 发表日期：

    2026年

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  • José García,
  • Franklin Salazar,
  • Edwin Ramos-Zurita,
  • Maria Romero-Villacrés,
  • Juan Balarezo-Constante,
  • Gustavo Machado,
  • Karina Salazar

摘要

This project contributes to the research area of dynamic reconfiguration in automatic control systems, specifically applied to temperature regulation in floriculture. The focus es on designing and implementing a Neuro-PID control system based on neural networks, leveraging its advanced capabilities in information retention and adaptive control processes. By integrating current technological advancements, the project aims to optimize the temperature control within floricultural environments, ensuring optimal conditions for plant growth and development. The implementation of Neuro-PID control offers significant improvements in maintaining precise and stable temperature levels, contributing to the overall efficiency and productivity of floricultural operations.