{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:FAGOTXLAGKRAWVF5JQJIJIYDKB","short_pith_number":"pith:FAGOTXLA","schema_version":"1.0","canonical_sha256":"280ce9dd6032a20b54bd4c1284a303506f86b2d706da8aff143d40fea3c69079","source":{"kind":"arxiv","id":"2202.02351","version":1},"attestation_state":"computed","paper":{"title":"An explicit dual control approach for constrained reference tracking of uncertain linear systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"math.OC","authors_text":"Andrea Iannelli, Anilkumar Parsi, Roy S. Smith","submitted_at":"2022-02-04T19:18:48Z","abstract_excerpt":"A finite horizon optimal tracking problem is considered for linear dynamical systems subject to parametric uncertainties in the state-space matrices and exogenous disturbances. A suboptimal solution is proposed using a model predictive control (MPC) based explicit dual control approach which enables active uncertainty learning. A novel algorithm for the design of robustly invariant online terminal sets and terminal controllers is presented. Set membership identification is used to update the parameter uncertainty online. A predicted worst-case cost is used in the MPC optimization problem to mo"},"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":"2202.02351","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2022-02-04T19:18:48Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"6ad236528b235a91a8a41d7826a102eed7f7c548098d3e30a21f852a9d4fef5b","abstract_canon_sha256":"29f500393d0286fdbe5218a6c06039596709470373ef5f66db4f2d6ce5e609cf"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:54:27.933996Z","signature_b64":"xUNGoY+4nD/owwi7LJkLK79LbyZMi8Ns6jzbySzyxXW+1rs5F5jVZ6KtVJ7QI8s7VCw0YTOaqPyvABdYquxMBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"280ce9dd6032a20b54bd4c1284a303506f86b2d706da8aff143d40fea3c69079","last_reissued_at":"2026-07-05T03:54:27.933646Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:54:27.933646Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An explicit dual control approach for constrained reference tracking of uncertain linear systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"math.OC","authors_text":"Andrea Iannelli, Anilkumar Parsi, Roy S. Smith","submitted_at":"2022-02-04T19:18:48Z","abstract_excerpt":"A finite horizon optimal tracking problem is considered for linear dynamical systems subject to parametric uncertainties in the state-space matrices and exogenous disturbances. A suboptimal solution is proposed using a model predictive control (MPC) based explicit dual control approach which enables active uncertainty learning. A novel algorithm for the design of robustly invariant online terminal sets and terminal controllers is presented. Set membership identification is used to update the parameter uncertainty online. A predicted worst-case cost is used in the MPC optimization problem to mo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.02351","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/2202.02351/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":"2202.02351","created_at":"2026-07-05T03:54:27.933701+00:00"},{"alias_kind":"arxiv_version","alias_value":"2202.02351v1","created_at":"2026-07-05T03:54:27.933701+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.02351","created_at":"2026-07-05T03:54:27.933701+00:00"},{"alias_kind":"pith_short_12","alias_value":"FAGOTXLAGKRA","created_at":"2026-07-05T03:54:27.933701+00:00"},{"alias_kind":"pith_short_16","alias_value":"FAGOTXLAGKRAWVF5","created_at":"2026-07-05T03:54:27.933701+00:00"},{"alias_kind":"pith_short_8","alias_value":"FAGOTXLA","created_at":"2026-07-05T03:54:27.933701+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/FAGOTXLAGKRAWVF5JQJIJIYDKB","json":"https://pith.science/pith/FAGOTXLAGKRAWVF5JQJIJIYDKB.json","graph_json":"https://pith.science/api/pith-number/FAGOTXLAGKRAWVF5JQJIJIYDKB/graph.json","events_json":"https://pith.science/api/pith-number/FAGOTXLAGKRAWVF5JQJIJIYDKB/events.json","paper":"https://pith.science/paper/FAGOTXLA"},"agent_actions":{"view_html":"https://pith.science/pith/FAGOTXLAGKRAWVF5JQJIJIYDKB","download_json":"https://pith.science/pith/FAGOTXLAGKRAWVF5JQJIJIYDKB.json","view_paper":"https://pith.science/paper/FAGOTXLA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2202.02351&json=true","fetch_graph":"https://pith.science/api/pith-number/FAGOTXLAGKRAWVF5JQJIJIYDKB/graph.json","fetch_events":"https://pith.science/api/pith-number/FAGOTXLAGKRAWVF5JQJIJIYDKB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FAGOTXLAGKRAWVF5JQJIJIYDKB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FAGOTXLAGKRAWVF5JQJIJIYDKB/action/storage_attestation","attest_author":"https://pith.science/pith/FAGOTXLAGKRAWVF5JQJIJIYDKB/action/author_attestation","sign_citation":"https://pith.science/pith/FAGOTXLAGKRAWVF5JQJIJIYDKB/action/citation_signature","submit_replication":"https://pith.science/pith/FAGOTXLAGKRAWVF5JQJIJIYDKB/action/replication_record"}},"created_at":"2026-07-05T03:54:27.933701+00:00","updated_at":"2026-07-05T03:54:27.933701+00:00"}