{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:4OAJKXRLDOV5LRL3VU7AKGXHF7","short_pith_number":"pith:4OAJKXRL","schema_version":"1.0","canonical_sha256":"e380955e2b1babd5c57bad3e051ae72fd93b12923ccc36a462962d52f5d200fe","source":{"kind":"arxiv","id":"1502.07926","version":1},"attestation_state":"computed","paper":{"title":"Data-Driven Robust Receding Horizon Fault Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SY","authors_text":"Fredrik Gustafsson, Michel Verhaegen, Tamas Keviczky, Yiming Wan","submitted_at":"2015-02-27T15:11:24Z","abstract_excerpt":"This paper presents a data-driven receding horizon fault estimation method for additive actuator and sensor faults in unknown linear time-invariant systems, with enhanced robustness to stochastic identification errors. State-of-the-art methods construct fault estimators with identified state-space models or Markov parameters, but they do not compensate for identification errors. Motivated by this limitation, we first propose a receding horizon fault estimator parameterized by predictor Markov parameters. This estimator provides (asymptotically) unbiased fault estimates as long as the subsystem"},"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":"1502.07926","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2015-02-27T15:11:24Z","cross_cats_sorted":[],"title_canon_sha256":"8d832da5451a80c5f2228a6fa992317ffce631b53bafd14415bba07a796131a3","abstract_canon_sha256":"7258736a4e70bdd2fe3ba679a32670c1fd28ab4b80ba1c38010eb0656788042d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:26:01.806336Z","signature_b64":"9/QKyTD0tpWNcklF73h8pKRVsy/7RTEmK4zUerQ/DT5+biTxmcdwuvC/3r9Vn9bVf3u+Hq5Auu0NPkNT+2f4BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e380955e2b1babd5c57bad3e051ae72fd93b12923ccc36a462962d52f5d200fe","last_reissued_at":"2026-05-18T02:26:01.805820Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:26:01.805820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Data-Driven Robust Receding Horizon Fault Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SY","authors_text":"Fredrik Gustafsson, Michel Verhaegen, Tamas Keviczky, Yiming Wan","submitted_at":"2015-02-27T15:11:24Z","abstract_excerpt":"This paper presents a data-driven receding horizon fault estimation method for additive actuator and sensor faults in unknown linear time-invariant systems, with enhanced robustness to stochastic identification errors. State-of-the-art methods construct fault estimators with identified state-space models or Markov parameters, but they do not compensate for identification errors. Motivated by this limitation, we first propose a receding horizon fault estimator parameterized by predictor Markov parameters. This estimator provides (asymptotically) unbiased fault estimates as long as the subsystem"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.07926","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":"1502.07926","created_at":"2026-05-18T02:26:01.805903+00:00"},{"alias_kind":"arxiv_version","alias_value":"1502.07926v1","created_at":"2026-05-18T02:26:01.805903+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.07926","created_at":"2026-05-18T02:26:01.805903+00:00"},{"alias_kind":"pith_short_12","alias_value":"4OAJKXRLDOV5","created_at":"2026-05-18T12:29:05.191682+00:00"},{"alias_kind":"pith_short_16","alias_value":"4OAJKXRLDOV5LRL3","created_at":"2026-05-18T12:29:05.191682+00:00"},{"alias_kind":"pith_short_8","alias_value":"4OAJKXRL","created_at":"2026-05-18T12:29:05.191682+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/4OAJKXRLDOV5LRL3VU7AKGXHF7","json":"https://pith.science/pith/4OAJKXRLDOV5LRL3VU7AKGXHF7.json","graph_json":"https://pith.science/api/pith-number/4OAJKXRLDOV5LRL3VU7AKGXHF7/graph.json","events_json":"https://pith.science/api/pith-number/4OAJKXRLDOV5LRL3VU7AKGXHF7/events.json","paper":"https://pith.science/paper/4OAJKXRL"},"agent_actions":{"view_html":"https://pith.science/pith/4OAJKXRLDOV5LRL3VU7AKGXHF7","download_json":"https://pith.science/pith/4OAJKXRLDOV5LRL3VU7AKGXHF7.json","view_paper":"https://pith.science/paper/4OAJKXRL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1502.07926&json=true","fetch_graph":"https://pith.science/api/pith-number/4OAJKXRLDOV5LRL3VU7AKGXHF7/graph.json","fetch_events":"https://pith.science/api/pith-number/4OAJKXRLDOV5LRL3VU7AKGXHF7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4OAJKXRLDOV5LRL3VU7AKGXHF7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4OAJKXRLDOV5LRL3VU7AKGXHF7/action/storage_attestation","attest_author":"https://pith.science/pith/4OAJKXRLDOV5LRL3VU7AKGXHF7/action/author_attestation","sign_citation":"https://pith.science/pith/4OAJKXRLDOV5LRL3VU7AKGXHF7/action/citation_signature","submit_replication":"https://pith.science/pith/4OAJKXRLDOV5LRL3VU7AKGXHF7/action/replication_record"}},"created_at":"2026-05-18T02:26:01.805903+00:00","updated_at":"2026-05-18T02:26:01.805903+00:00"}