AI Control Scientist: LLM-driven Agentic System for Automated Control Design

arXiv:2608.26780 · cs.AI · Submitted 2026-08-27 · Read on arXiv

cs.AI

Submitted: 2026-08-27

Updated: 2026-08-27

Terminology

• Verification — 15× in this paper · explained in 2 episodes
• Agentic System — 8× in this paper · explained in 2 episodes
• Core — 7× in this paper · explained in 2 episodes
• Reward Function — 7× in this paper · explained in 2 episodes
• Foundation Model — 6× in this paper · explained in 3 episodes
• Hallucination — 6× in this paper · explained in 3 episodes
• Task Modeling Agent — 6× in this paper
• Parameter Tuning Agent — 5× in this paper
• Controller Design Agent — 4× in this paper
• Decoupling — 4× in this paper · explained in 2 episodes
• Foundation Models — 4× in this paper · explained in 7 episodes
• Iterative Refinement — 4× in this paper · explained in 3 episodes
• Reinforcement Learning — 4× in this paper · explained in 4 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Objective Function — 2× in this paper · explained in 2 episodes
• PID Controller — 2× in this paper · explained in 2 episodes
• Prompt Engineering — 2× in this paper · explained in 4 episodes
• Semantic Understanding — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Acquisition Function — 1× in this paper · explained in 1 episode
• Agentic AI — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Formal Verification — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Model Predictive Control (MPC) — 1× in this paper · explained in 5 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Programmable Logic Controller — 1× in this paper
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Gap — 1× in this paper · explained in 2 episodes
• System Identification — 1× in this paper · explained in 3 episodes

Sources

• AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation
• OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving
• Benford's Curse: Tracing Digit Bias to Numerical Hallucination in LLMs
• Program Synthesis with Large Language Models
• CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment
• ChatDev: Communicative Agents for Software Development
• Voyager: An Open-Ended Embodied Agent with Large Language Models
• ControlAgent: Automating Control System Design via Novel Integration of LLM Agents and Domain Expertise

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