Open LLMs function as structural priors for MIMO controller tuning by proposing asymmetric structures on coupled plants, reaching better penalized cost with fewer evaluations than pure optimization or classical methods.
ControlAgent: Automating control system design via novel integration of LLM agents and domain expertise
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An LLM-based self-evolving agent discovers a traveling-wave controller with body-frame guidance and yaw feedback that generalizes to unseen targets for an underactuated fluid swimmer.
PGHS fuses policy-guided LLM reasoning and ML fitting to simulate group user behavior with 8.8% error on Meituan data from 101 merchants and 26k trajectories, beating pure reasoning and fitting baselines by 45.8% and 40.9%.
The paper proposes a bidirectional continuum between LLMs and control systems, covering LLM-assisted controller design, control-based LLM steering, and state-space modeling of LLMs.
citing papers explorer
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Structure from Reasoning, Numbers from Search: On-Premise Open LLMs as Structural Priors for Coupled MIMO Controller Tuning
Open LLMs function as structural priors for MIMO controller tuning by proposing asymmetric structures on coupled plants, reaching better penalized cost with fewer evaluations than pure optimization or classical methods.
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Self-Evolving Scientific Agent Discovers Generalizable Physically-Reasoned Fluid Control
An LLM-based self-evolving agent discovers a traveling-wave controller with body-frame guidance and yaw feedback that generalizes to unseen targets for an underactuated fluid swimmer.
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Meituan Merchant Business Diagnosis via Policy-Guided Dual-Process User Simulation
PGHS fuses policy-guided LLM reasoning and ML fitting to simulate group user behavior with 8.8% error on Meituan data from 101 merchants and 26k trajectories, beating pure reasoning and fitting baselines by 45.8% and 40.9%.
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When control meets large language models: From words to dynamics
The paper proposes a bidirectional continuum between LLMs and control systems, covering LLM-assisted controller design, control-based LLM steering, and state-space modeling of LLMs.