{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:3ZQTWBL3V3SNRMIPLUMP4IXOQL","short_pith_number":"pith:3ZQTWBL3","schema_version":"1.0","canonical_sha256":"de613b057baee4d8b10f5d18fe22ee82e143073813c1a1f357de66fd905af285","source":{"kind":"arxiv","id":"2005.08358","version":1},"attestation_state":"computed","paper":{"title":"Action Governor for Discrete-Time Linear Systems with Non-Convex Constraints","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","math.OC"],"primary_cat":"eess.SY","authors_text":"Anouck Girard, Dimitar Filev, H. Eric Tseng, Ilya Kolmanovsky, Kyoungseok Han, Nan Li","submitted_at":"2020-05-17T19:54:50Z","abstract_excerpt":"This paper introduces an add-on, supervisory scheme, referred to as Action Governor (AG), for discrete-time linear systems to enforce exclusion-zone avoidance requirements. It does so by monitoring, and minimally modifying when necessary, the nominal control signal to a constraint-admissible one. The AG operates based on set-theoretic techniques and online optimization. This paper establishes its theoretical foundation, discusses its computational realization, and uses two simulation examples to illustrate its effectiveness."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2005.08358","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2020-05-17T19:54:50Z","cross_cats_sorted":["cs.SY","math.OC"],"title_canon_sha256":"6eefb1898e3dd0b37847203f2d230f743f20cd45c0701c8a9b8bf34cc8db93d4","abstract_canon_sha256":"c7e44a85627330adbe1f1b07b32a40978112d762e61cece90d0f0fa69da7d38b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:03:30.750084Z","signature_b64":"iArz2SsE4bv465ZneQHa7ibj3lkmdAhU/Ue0OGOdp+zkbqADprlOoHJqzp7zvEYz3FSlxh1uJg+8vqL0KiOjBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"de613b057baee4d8b10f5d18fe22ee82e143073813c1a1f357de66fd905af285","last_reissued_at":"2026-07-05T01:03:30.749619Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:03:30.749619Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Action Governor for Discrete-Time Linear Systems with Non-Convex Constraints","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","math.OC"],"primary_cat":"eess.SY","authors_text":"Anouck Girard, Dimitar Filev, H. Eric Tseng, Ilya Kolmanovsky, Kyoungseok Han, Nan Li","submitted_at":"2020-05-17T19:54:50Z","abstract_excerpt":"This paper introduces an add-on, supervisory scheme, referred to as Action Governor (AG), for discrete-time linear systems to enforce exclusion-zone avoidance requirements. It does so by monitoring, and minimally modifying when necessary, the nominal control signal to a constraint-admissible one. The AG operates based on set-theoretic techniques and online optimization. This paper establishes its theoretical foundation, discusses its computational realization, and uses two simulation examples to illustrate its effectiveness."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.08358","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2005.08358/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2005.08358","created_at":"2026-07-05T01:03:30.749689+00:00"},{"alias_kind":"arxiv_version","alias_value":"2005.08358v1","created_at":"2026-07-05T01:03:30.749689+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.08358","created_at":"2026-07-05T01:03:30.749689+00:00"},{"alias_kind":"pith_short_12","alias_value":"3ZQTWBL3V3SN","created_at":"2026-07-05T01:03:30.749689+00:00"},{"alias_kind":"pith_short_16","alias_value":"3ZQTWBL3V3SNRMIP","created_at":"2026-07-05T01:03:30.749689+00:00"},{"alias_kind":"pith_short_8","alias_value":"3ZQTWBL3","created_at":"2026-07-05T01:03:30.749689+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/3ZQTWBL3V3SNRMIPLUMP4IXOQL","json":"https://pith.science/pith/3ZQTWBL3V3SNRMIPLUMP4IXOQL.json","graph_json":"https://pith.science/api/pith-number/3ZQTWBL3V3SNRMIPLUMP4IXOQL/graph.json","events_json":"https://pith.science/api/pith-number/3ZQTWBL3V3SNRMIPLUMP4IXOQL/events.json","paper":"https://pith.science/paper/3ZQTWBL3"},"agent_actions":{"view_html":"https://pith.science/pith/3ZQTWBL3V3SNRMIPLUMP4IXOQL","download_json":"https://pith.science/pith/3ZQTWBL3V3SNRMIPLUMP4IXOQL.json","view_paper":"https://pith.science/paper/3ZQTWBL3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2005.08358&json=true","fetch_graph":"https://pith.science/api/pith-number/3ZQTWBL3V3SNRMIPLUMP4IXOQL/graph.json","fetch_events":"https://pith.science/api/pith-number/3ZQTWBL3V3SNRMIPLUMP4IXOQL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3ZQTWBL3V3SNRMIPLUMP4IXOQL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3ZQTWBL3V3SNRMIPLUMP4IXOQL/action/storage_attestation","attest_author":"https://pith.science/pith/3ZQTWBL3V3SNRMIPLUMP4IXOQL/action/author_attestation","sign_citation":"https://pith.science/pith/3ZQTWBL3V3SNRMIPLUMP4IXOQL/action/citation_signature","submit_replication":"https://pith.science/pith/3ZQTWBL3V3SNRMIPLUMP4IXOQL/action/replication_record"}},"created_at":"2026-07-05T01:03:30.749689+00:00","updated_at":"2026-07-05T01:03:30.749689+00:00"}