{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:XFHRTFQOYTFUOX47GXCXZQ5WWQ","short_pith_number":"pith:XFHRTFQO","schema_version":"1.0","canonical_sha256":"b94f19960ec4cb475f9f35c57cc3b6b4030ed73620b01886889a24550564fceb","source":{"kind":"arxiv","id":"2509.19824","version":2},"attestation_state":"computed","paper":{"title":"Zonotope-Based Elastic Tube Model Predictive Control","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Bogdan D. Ciubotaru, Florin Stoican, Sabin Diaconescu, Sorin Olaru","submitted_at":"2025-09-24T07:08:50Z","abstract_excerpt":"Tube-based Model Predictive Control (MPC) is a widely adopted robust control framework for constrained linear systems under additive disturbance. The paper is focused on reducing the numerical complexity associated with the tube parameterization, described as a sequence of elastically-scaled zonotopic sets. A new class of scaled-zonotope inclusion conditions is proposed, alleviating the need for a priori specification of certain set-containment constraints and achieving significant reductions in complexity. A comprehensive complexity analysis is provided for both the polyhedral and the zonotop"},"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":"2509.19824","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2025-09-24T07:08:50Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"b631765114e68051d5ae5be298faff5152933109ceb224a2cfec92b416422e68","abstract_canon_sha256":"48444b97be2a771ffd2b2c5a1e220e80ca5590e8c2521d634d25ff81c681ac8d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:04:13.680794Z","signature_b64":"Usc7a9PxG3UNk62L93O6hV2plE8eAQ6r2YIWh3ryvqcSLqn53LiJs2R+QmIxykEcVmBFMIVEPO5GJxqJbOKvBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b94f19960ec4cb475f9f35c57cc3b6b4030ed73620b01886889a24550564fceb","last_reissued_at":"2026-05-20T00:04:13.680117Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:04:13.680117Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Zonotope-Based Elastic Tube Model Predictive Control","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Bogdan D. Ciubotaru, Florin Stoican, Sabin Diaconescu, Sorin Olaru","submitted_at":"2025-09-24T07:08:50Z","abstract_excerpt":"Tube-based Model Predictive Control (MPC) is a widely adopted robust control framework for constrained linear systems under additive disturbance. The paper is focused on reducing the numerical complexity associated with the tube parameterization, described as a sequence of elastically-scaled zonotopic sets. A new class of scaled-zonotope inclusion conditions is proposed, alleviating the need for a priori specification of certain set-containment constraints and achieving significant reductions in complexity. A comprehensive complexity analysis is provided for both the polyhedral and the zonotop"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.19824","kind":"arxiv","version":2},"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/2509.19824/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":"2509.19824","created_at":"2026-05-20T00:04:13.680258+00:00"},{"alias_kind":"arxiv_version","alias_value":"2509.19824v2","created_at":"2026-05-20T00:04:13.680258+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.19824","created_at":"2026-05-20T00:04:13.680258+00:00"},{"alias_kind":"pith_short_12","alias_value":"XFHRTFQOYTFU","created_at":"2026-05-20T00:04:13.680258+00:00"},{"alias_kind":"pith_short_16","alias_value":"XFHRTFQOYTFUOX47","created_at":"2026-05-20T00:04:13.680258+00:00"},{"alias_kind":"pith_short_8","alias_value":"XFHRTFQO","created_at":"2026-05-20T00:04:13.680258+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/XFHRTFQOYTFUOX47GXCXZQ5WWQ","json":"https://pith.science/pith/XFHRTFQOYTFUOX47GXCXZQ5WWQ.json","graph_json":"https://pith.science/api/pith-number/XFHRTFQOYTFUOX47GXCXZQ5WWQ/graph.json","events_json":"https://pith.science/api/pith-number/XFHRTFQOYTFUOX47GXCXZQ5WWQ/events.json","paper":"https://pith.science/paper/XFHRTFQO"},"agent_actions":{"view_html":"https://pith.science/pith/XFHRTFQOYTFUOX47GXCXZQ5WWQ","download_json":"https://pith.science/pith/XFHRTFQOYTFUOX47GXCXZQ5WWQ.json","view_paper":"https://pith.science/paper/XFHRTFQO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2509.19824&json=true","fetch_graph":"https://pith.science/api/pith-number/XFHRTFQOYTFUOX47GXCXZQ5WWQ/graph.json","fetch_events":"https://pith.science/api/pith-number/XFHRTFQOYTFUOX47GXCXZQ5WWQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XFHRTFQOYTFUOX47GXCXZQ5WWQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XFHRTFQOYTFUOX47GXCXZQ5WWQ/action/storage_attestation","attest_author":"https://pith.science/pith/XFHRTFQOYTFUOX47GXCXZQ5WWQ/action/author_attestation","sign_citation":"https://pith.science/pith/XFHRTFQOYTFUOX47GXCXZQ5WWQ/action/citation_signature","submit_replication":"https://pith.science/pith/XFHRTFQOYTFUOX47GXCXZQ5WWQ/action/replication_record"}},"created_at":"2026-05-20T00:04:13.680258+00:00","updated_at":"2026-05-20T00:04:13.680258+00:00"}