博士答辩—德国斯图加特:LLM智能体—数字孪生—工业自动化 | LLM Agent – Digital Twin – Industrial Automation

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2021–2026 博士研究:大语言模型和数字孪生的工业自动化应用。 德国斯图加特大学——自动化与软件工程研究所 作者成果主页:https://yuchenxia.com Google学术个人主页:https://scholar.google.com/citations?user=hi1srxkAAAAJ 论文引用:Yuchen, Xia. (2026). Integrating Large Language Model Agents with Digital Twins for Industrial Autonomous Systems. PhD Dissertation, University of Stuttgart. 00:00 开场 – Introduction 00:19 问题抽象 – Problem Abstraction 02:48 技术回顾与研究贡献 – Review & Research Contributions 06:32 泛化核心方法 – Generalizable Methodology 10:05 应用:规划 – Application: Planning 14:05 应用:控制 – Application: Control 17:45 应用:语义互操作 – Application: Semantic Interoperability 21:42 应用:过程参数仿真 – Application: Process Parameter Simulation 23:19 评估总览 – Selected Evaluation 25:42 总结 – Conclusion % BibTex Citation: @phdthesis{Xia2026,   author = {Yuchen Xia},   city = {Stuttgart, Germany},   doi = {https://doi.org/10.18419/opus-18222},   isbn = {978-3-8191-0712-2},   school = {Institute of Industrial Automation and Software Engineering (IAS), University of Stuttgart},   title = {Integrating Large Language Model Agents with Digital Twins for Industrial Autonomous Systems},   url = {https://elib.uni-stuttgart.de/items/6608ff2a-5e4c-43bf-876a-6500279ccc44},   year = {2026} }
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