A Physics-Informed Framework for PID Tuning of Chemical Processes Using Large Language Model Agents
Scanned 9/11/2026
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---
name: a-physics-informed-framework-for-pid-tuning-of-che
description: A Physics-Informed Framework for PID Tuning of Chemical Processes Using Large Language Model Agents
version: 1.0.0
date: 2026-07-30
arxiv_id: 2607.26594
tags: ["arxiv", "research", "paper", "signal-control-systems"]
activation_keywords: ["a", "physics", "informed", "framework", "for"]
---
# A Physics-Informed Framework for PID Tuning of Chemical Processes Using Large Language Model Agents
**arXiv ID:** 2607.26594
**Utility Score:** 0.90
**Authors:** Zhoupeng Shou, Xiaodong Hong, Congjing Ren
**URL:** https://arxiv.org/abs/2607.26594
## 概述
A Physics-Informed Framework for PID Tuning of Chemical Processes Using Large Language Model Agents
这是一篇来自 arXiv 的高价值论文(utility score: 0.90),通过自动追踪系统识别。
## 核心创新
*待研究论文内容后填写*
## 应用场景
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## 实现要点
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## 参考资源
- [arXiv论文](https://arxiv.org/abs/2607.26594)
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