ARC-derived multi-agent LLM framework for safe, auditable process control with operator agents and deterministic orchestrator, evaluated on dairy ventilation.
Autonomous industrial control using an agentic framework with large language models,
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An agentic LLM framework with multi-agent workflow, digital process plant twin, and Graph RAG on CPSMod ontology generates and validates fault recovery actions in simulation for discrete batch and continuous stirred-tank processes.
citing papers explorer
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A Systematic Approach to Multi-Agent AI from Advanced Regulatory Control Theory: Safe and Auditable LLM Operator Agents for Process Control
ARC-derived multi-agent LLM framework for safe, auditable process control with operator agents and deterministic orchestrator, evaluated on dairy ventilation.
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From Detection to Action: Using LLM Agents for Fault-Tolerant Control
An agentic LLM framework with multi-agent workflow, digital process plant twin, and Graph RAG on CPSMod ontology generates and validates fault recovery actions in simulation for discrete batch and continuous stirred-tank processes.