{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:6EZEAWBBZQJ5VI6YIXOJYFMHII","short_pith_number":"pith:6EZEAWBB","schema_version":"1.0","canonical_sha256":"f132405821cc13daa3d845dc9c15874216bd884d8dc75c9922e9e6bb55394368","source":{"kind":"arxiv","id":"1303.1090","version":1},"attestation_state":"computed","paper":{"title":"Embedded Online Optimization for Model Predictive Control at Megahertz Rates","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.OC"],"primary_cat":"cs.SY","authors_text":"Eric C. Kerrigan, George A. Constantinides, Juan L. Jerez, Manfred Morari, Paul J. Goulart, Stefan Richter","submitted_at":"2013-03-05T16:37:09Z","abstract_excerpt":"Faster, cheaper, and more power efficient optimization solvers than those currently offered by general-purpose solutions are required for extending the use of model predictive control (MPC) to resource-constrained embedded platforms. We propose several custom computational architectures for different first-order optimization methods that can handle linear-quadratic MPC problems with input, input-rate, and soft state constraints. We provide analysis ensuring the reliable operation of the resulting controller under reduced precision fixed-point arithmetic. Implementation of the proposed architec"},"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":"1303.1090","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2013-03-05T16:37:09Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"c5cea6c0ffeab30aec04ff2138b924b1b02a5fdbfb2de439656fd94f7f8c4c7a","abstract_canon_sha256":"2e8b7ad09c5bca6c206bb2e2017a84ca0a300ba2011e3a652a54cd8cc338b16c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:33:04.575039Z","signature_b64":"nx0PaWpLuwlJdKHVs0zhqE2TPwdICPB0DI4btQvU4ZaxAJfMy+FFPegwPVLqOdXrdMxhGtfoJ6+vjy+eHtJ3Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f132405821cc13daa3d845dc9c15874216bd884d8dc75c9922e9e6bb55394368","last_reissued_at":"2026-05-18T00:33:04.574406Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:33:04.574406Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Embedded Online Optimization for Model Predictive Control at Megahertz Rates","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.OC"],"primary_cat":"cs.SY","authors_text":"Eric C. Kerrigan, George A. Constantinides, Juan L. Jerez, Manfred Morari, Paul J. Goulart, Stefan Richter","submitted_at":"2013-03-05T16:37:09Z","abstract_excerpt":"Faster, cheaper, and more power efficient optimization solvers than those currently offered by general-purpose solutions are required for extending the use of model predictive control (MPC) to resource-constrained embedded platforms. We propose several custom computational architectures for different first-order optimization methods that can handle linear-quadratic MPC problems with input, input-rate, and soft state constraints. We provide analysis ensuring the reliable operation of the resulting controller under reduced precision fixed-point arithmetic. Implementation of the proposed architec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1303.1090","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":""},"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":"1303.1090","created_at":"2026-05-18T00:33:04.574504+00:00"},{"alias_kind":"arxiv_version","alias_value":"1303.1090v1","created_at":"2026-05-18T00:33:04.574504+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1303.1090","created_at":"2026-05-18T00:33:04.574504+00:00"},{"alias_kind":"pith_short_12","alias_value":"6EZEAWBBZQJ5","created_at":"2026-05-18T12:27:36.564083+00:00"},{"alias_kind":"pith_short_16","alias_value":"6EZEAWBBZQJ5VI6Y","created_at":"2026-05-18T12:27:36.564083+00:00"},{"alias_kind":"pith_short_8","alias_value":"6EZEAWBB","created_at":"2026-05-18T12:27:36.564083+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/6EZEAWBBZQJ5VI6YIXOJYFMHII","json":"https://pith.science/pith/6EZEAWBBZQJ5VI6YIXOJYFMHII.json","graph_json":"https://pith.science/api/pith-number/6EZEAWBBZQJ5VI6YIXOJYFMHII/graph.json","events_json":"https://pith.science/api/pith-number/6EZEAWBBZQJ5VI6YIXOJYFMHII/events.json","paper":"https://pith.science/paper/6EZEAWBB"},"agent_actions":{"view_html":"https://pith.science/pith/6EZEAWBBZQJ5VI6YIXOJYFMHII","download_json":"https://pith.science/pith/6EZEAWBBZQJ5VI6YIXOJYFMHII.json","view_paper":"https://pith.science/paper/6EZEAWBB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1303.1090&json=true","fetch_graph":"https://pith.science/api/pith-number/6EZEAWBBZQJ5VI6YIXOJYFMHII/graph.json","fetch_events":"https://pith.science/api/pith-number/6EZEAWBBZQJ5VI6YIXOJYFMHII/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6EZEAWBBZQJ5VI6YIXOJYFMHII/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6EZEAWBBZQJ5VI6YIXOJYFMHII/action/storage_attestation","attest_author":"https://pith.science/pith/6EZEAWBBZQJ5VI6YIXOJYFMHII/action/author_attestation","sign_citation":"https://pith.science/pith/6EZEAWBBZQJ5VI6YIXOJYFMHII/action/citation_signature","submit_replication":"https://pith.science/pith/6EZEAWBBZQJ5VI6YIXOJYFMHII/action/replication_record"}},"created_at":"2026-05-18T00:33:04.574504+00:00","updated_at":"2026-05-18T00:33:04.574504+00:00"}