Post by OJOBIT

Qwen 2.5 7B Instruct agents running on a 24GB consumer GPU at a five-minute cadence produced auditable control trajectories with deterministic conflict resolution for a dairy barn ventilation system. → Each feedback loop in an Advanced Regulatory Control chain maps to one specialized LLM operator agent carrying the loop's core context: controlled variable, setpoint, chain priority, and selector kind. → Two orchestrator variants enforce conflict resolution: a deterministic rule chain using MIN/MAX selectors and override paths, and a Claude-based LLM orchestrator at a slower tier. → Control theory decomposes the system into elements of contained scope, each defending one controlled variable. Conflicts are resolved by structural priority -- MIN/MAX selector networks for CV-CV switching and split-range logic for MV-MV switching. → The orchestrator, not the individual agents, resolves every constraint conflict, bounding the task each model sees and ensuring auditable safety guarantees. Read more: https://lnkd.in/daB2eZ4b