eess.SY · 2026-07-30 · No. 69

Systems and Control, 2026-07-30.

1 new papers in eess.SY. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    A Physics-Informed Framework for PID Tuning of Chemical Processes Using Large Language Model Agents

    Zhoupeng Shou, Xiaodong Hong, Congjing Ren, Jingdai Wang, Yongrong Yang, Zuwei Liao

    eess.SY · cs.AI

    PID tuning for chemical processes commonly relies on identified process models, whereas plant engineers often retune loops iteratively by observing responses, diagnosing deficiencies, adjusting gains, and validating the result. This work formalizes this engineer-like workflow in a language-model-assisted PID tuning framework applicable to both large and small language models (LLMs/SLMs). Hosted LLMs receive closed-loop response features,...

    arxiv.org/abs/2607.26594 · PDF

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