{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:524GG3BDZBK576XXFJXOJYVYKZ","short_pith_number":"pith:524GG3BD","schema_version":"1.0","canonical_sha256":"eeb8636c23c855dffaf72a6ee4e2b85646b5708b03c851e5ff7f0928b4351103","source":{"kind":"arxiv","id":"2104.02025","version":2},"attestation_state":"computed","paper":{"title":"Robust Control Co-Design with Receding-Horizon MPC","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Austin L. Nash, Herschel C. Pangborn, Neera Jain","submitted_at":"2021-04-05T17:24:30Z","abstract_excerpt":"Control co-design (CCD) is a technique for improving the closed-loop performance of systems through the coordinated design of both plant parameters and an optimal control policy. While model predictive control (MPC) is an attractive control strategy for many systems, embedding it within a CCD algorithm presents challenges because obtaining a closed-form solution for this receding-horizon optimization strategy is often not feasible. This paper meets that challenge by including a robust MPC formulation within the inner loop of a CCD algorithm. As exemplified by application to an aircraft thermal"},"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":"2104.02025","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2021-04-05T17:24:30Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"f3f7f16877a673f77186e736e28ba6346a386097c97429b7f4101c7aa403ad64","abstract_canon_sha256":"bd97b13eab33b706eb7b45e815a41b108fda2b6a562cdf445a79ecc43820050a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:01:08.913560Z","signature_b64":"USegSDW945assC2M8NOD9cdEZeSDpUvfELx3KrlSwcEBEP4Mn9DoF5AlJYzhodLL9e15++LRris+vBv9HQPFBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eeb8636c23c855dffaf72a6ee4e2b85646b5708b03c851e5ff7f0928b4351103","last_reissued_at":"2026-07-05T06:01:08.913048Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:01:08.913048Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Robust Control Co-Design with Receding-Horizon MPC","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Austin L. Nash, Herschel C. Pangborn, Neera Jain","submitted_at":"2021-04-05T17:24:30Z","abstract_excerpt":"Control co-design (CCD) is a technique for improving the closed-loop performance of systems through the coordinated design of both plant parameters and an optimal control policy. While model predictive control (MPC) is an attractive control strategy for many systems, embedding it within a CCD algorithm presents challenges because obtaining a closed-form solution for this receding-horizon optimization strategy is often not feasible. This paper meets that challenge by including a robust MPC formulation within the inner loop of a CCD algorithm. As exemplified by application to an aircraft thermal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.02025","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/2104.02025/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":"2104.02025","created_at":"2026-07-05T06:01:08.913115+00:00"},{"alias_kind":"arxiv_version","alias_value":"2104.02025v2","created_at":"2026-07-05T06:01:08.913115+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.02025","created_at":"2026-07-05T06:01:08.913115+00:00"},{"alias_kind":"pith_short_12","alias_value":"524GG3BDZBK5","created_at":"2026-07-05T06:01:08.913115+00:00"},{"alias_kind":"pith_short_16","alias_value":"524GG3BDZBK576XX","created_at":"2026-07-05T06:01:08.913115+00:00"},{"alias_kind":"pith_short_8","alias_value":"524GG3BD","created_at":"2026-07-05T06:01:08.913115+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/524GG3BDZBK576XXFJXOJYVYKZ","json":"https://pith.science/pith/524GG3BDZBK576XXFJXOJYVYKZ.json","graph_json":"https://pith.science/api/pith-number/524GG3BDZBK576XXFJXOJYVYKZ/graph.json","events_json":"https://pith.science/api/pith-number/524GG3BDZBK576XXFJXOJYVYKZ/events.json","paper":"https://pith.science/paper/524GG3BD"},"agent_actions":{"view_html":"https://pith.science/pith/524GG3BDZBK576XXFJXOJYVYKZ","download_json":"https://pith.science/pith/524GG3BDZBK576XXFJXOJYVYKZ.json","view_paper":"https://pith.science/paper/524GG3BD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2104.02025&json=true","fetch_graph":"https://pith.science/api/pith-number/524GG3BDZBK576XXFJXOJYVYKZ/graph.json","fetch_events":"https://pith.science/api/pith-number/524GG3BDZBK576XXFJXOJYVYKZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/524GG3BDZBK576XXFJXOJYVYKZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/524GG3BDZBK576XXFJXOJYVYKZ/action/storage_attestation","attest_author":"https://pith.science/pith/524GG3BDZBK576XXFJXOJYVYKZ/action/author_attestation","sign_citation":"https://pith.science/pith/524GG3BDZBK576XXFJXOJYVYKZ/action/citation_signature","submit_replication":"https://pith.science/pith/524GG3BDZBK576XXFJXOJYVYKZ/action/replication_record"}},"created_at":"2026-07-05T06:01:08.913115+00:00","updated_at":"2026-07-05T06:01:08.913115+00:00"}