{
  "annotation_id": "6f571fb2-54c7-4691-bbf6-d19bc789e4d6",
  "date_created": "2026-02-17T05:53:11.403000Z",
  "date_modified": "2026-02-17T05:53:11.403000Z",
  "file_hash": "62e0c5f3f43c4801a4d0ca9bf6e301d9ec3dccc4479c86b9a24c7b1b9c301851",
  "private": false,
  "record": {
    "abstract": "In control theory, a system which has output depending only on the present and past values of the input is said to be causal (or nonanticipative). Respectively, a system is acausal (or non-causal) if its output depends on future inputs as well. Overall majority of literature in stochastic control theory discusses causal systems. Only a few sources indirectly concern acausal systems. In this paper, we systemize these results under main idea of acausality and present a background for designing optimal controls in acausal LQG problems.",
    "arxiv_id": "2601.07433",
    "authors": [
      "Arzu Ahmadova",
      "Agamirza E. Bashirov"
    ],
    "categories": [
      "math.OC"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "Design of Optimal Controls in Acausal LQG Problems",
    "url": "https://arxiv.org/abs/2601.07433",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "46303df4-28e8-45fd-99fd-67e12f058b52",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}