{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FAGOTXLAGKRAWVF5JQJIJIYDKB","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"29f500393d0286fdbe5218a6c06039596709470373ef5f66db4f2d6ce5e609cf","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2022-02-04T19:18:48Z","title_canon_sha256":"6ad236528b235a91a8a41d7826a102eed7f7c548098d3e30a21f852a9d4fef5b"},"schema_version":"1.0","source":{"id":"2202.02351","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.02351","created_at":"2026-07-05T03:54:27Z"},{"alias_kind":"arxiv_version","alias_value":"2202.02351v1","created_at":"2026-07-05T03:54:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.02351","created_at":"2026-07-05T03:54:27Z"},{"alias_kind":"pith_short_12","alias_value":"FAGOTXLAGKRA","created_at":"2026-07-05T03:54:27Z"},{"alias_kind":"pith_short_16","alias_value":"FAGOTXLAGKRAWVF5","created_at":"2026-07-05T03:54:27Z"},{"alias_kind":"pith_short_8","alias_value":"FAGOTXLA","created_at":"2026-07-05T03:54:27Z"}],"graph_snapshots":[{"event_id":"sha256:4ab5cda46d6c3cfb1a0e76816cd1fad4ae4d635f60edb5d36a783f62751177dc","target":"graph","created_at":"2026-07-05T03:54:27Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2202.02351/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"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","authors_text":"Andrea Iannelli, Anilkumar Parsi, Roy S. Smith","cross_cats":["cs.SY","eess.SY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2022-02-04T19:18:48Z","title":"An explicit dual control approach for constrained reference tracking of uncertain linear systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.02351","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:0a4c9b325d545658cb3e45c7cad6499a02ca88287ffad5a6a419122c2f39c5a9","target":"record","created_at":"2026-07-05T03:54:27Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"29f500393d0286fdbe5218a6c06039596709470373ef5f66db4f2d6ce5e609cf","cross_cats_sorted":["cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"math.OC","submitted_at":"2022-02-04T19:18:48Z","title_canon_sha256":"6ad236528b235a91a8a41d7826a102eed7f7c548098d3e30a21f852a9d4fef5b"},"schema_version":"1.0","source":{"id":"2202.02351","kind":"arxiv","version":1}},"canonical_sha256":"280ce9dd6032a20b54bd4c1284a303506f86b2d706da8aff143d40fea3c69079","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"280ce9dd6032a20b54bd4c1284a303506f86b2d706da8aff143d40fea3c69079","first_computed_at":"2026-07-05T03:54:27.933646Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:54:27.933646Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xUNGoY+4nD/owwi7LJkLK79LbyZMi8Ns6jzbySzyxXW+1rs5F5jVZ6KtVJ7QI8s7VCw0YTOaqPyvABdYquxMBg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:54:27.933996Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.02351","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0a4c9b325d545658cb3e45c7cad6499a02ca88287ffad5a6a419122c2f39c5a9","sha256:4ab5cda46d6c3cfb1a0e76816cd1fad4ae4d635f60edb5d36a783f62751177dc"],"state_sha256":"32490bc6202cde3516fa1b2e1ee988d336ae46655b1db33a2ad18cc1aca2f23e"}