{
  "$type": "site.standard.document",
  "description": "An example method of generating a neural network control policy for a vehicle includes obtaining a performance objective parameter associated with a control system of a vehicle, obtaining a policy optimizing algorithm corresponding to the performance objective parameter, defining a system state…",
  "path": "/patents/1378283",
  "publishedAt": "2026-01-29T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G05B13/027",
    "GM GLOBAL TECHNOLOGY OPERATIONS LLC"
  ],
  "textContent": "An example method of generating a neural network control policy for a vehicle includes obtaining a performance objective parameter associated with a control system of a vehicle, obtaining a policy optimizing algorithm corresponding to the performance objective parameter, defining a system state space, a control action space, and a disturbance space, each associated with the control system, generating a neural network control policy, based on the system state space, the control action space, and the disturbance space, wherein the neural network control policy has a non-linear H-infinity robustness guarantee, and automatically controlling at least one vehicle component according to the neural network control policy.",
  "title": "VEHICLE CONTROL SYSTEMS INCLUDING NEURAL NETWORK CONTROL POLICIES WITH NON-LINEAR H-INFINITY ROBUSTNESS"
}