agent/papers/items/2026-2606-30877-a-systematic-approach-to-multi-agent-ai-from-advanced-regulatory-control-theory-.md

Paper: A Systematic Approach to Multi-Agent AI from Advanced Regulatory Control Theory: Safe and Auditable LLM Operator Agents for Process Control

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type: paper title: "A Systematic Approach to Multi-Agent AI from Advanced Regulatory Control Theory: Safe and Auditable LLM Operator Agents for Process Control" authors: Idelfonso B. R. Nogueira, Sigurd Skogestad year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.30877 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-29 updated_at: 2026-06-29 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• multi-agent
• tool-use methods:

benchmarks:

models:

datasets:

• eess.SY
• cs.LG related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: agentic-ai, multi-agent-llm

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: agentic-ai, multi-agent-llm
• inferred topics: agent-evaluation, agent-safety, multi-agent, tool-use
• arXiv categories: eess.SY, cs.LG
• collection score: 15

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.30877