A tutorial framework for knowledge-grounded LLM agents as constrained planners for fault recovery in process plants, including validation strategies and open Python environments for two case studies.
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2026 3verdicts
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A semantic framework uses a knowledge graph on modular alignment ontology plus constrained LLM to generate C&E logic, narratives, and SWRL rules, shown on a modular process plant with claimed reduction in manual effort.
A TPSR-based framework with four LLM roles integrates language model reasoning into industrial automation via digital twins, achieving high task executability in case studies.
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Integrating Large Language Model Agents with Digital Twins for Industrial Autonomous Systems
A TPSR-based framework with four LLM roles integrates language model reasoning into industrial automation via digital twins, achieving high task executability in case studies.