{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:4OAJKXRLDOV5LRL3VU7AKGXHF7","short_pith_number":"pith:4OAJKXRL","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"},"canonical_sha256":"e380955e2b1babd5c57bad3e051ae72fd93b12923ccc36a462962d52f5d200fe","source":{"kind":"arxiv","id":"1502.07926","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1502.07926","created_at":"2026-05-18T02:26:01Z"},{"alias_kind":"arxiv_version","alias_value":"1502.07926v1","created_at":"2026-05-18T02:26:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.07926","created_at":"2026-05-18T02:26:01Z"},{"alias_kind":"pith_short_12","alias_value":"4OAJKXRLDOV5","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_16","alias_value":"4OAJKXRLDOV5LRL3","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_8","alias_value":"4OAJKXRL","created_at":"2026-05-18T12:29:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:4OAJKXRLDOV5LRL3VU7AKGXHF7","target":"record","payload":{"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"},"canonical_sha256":"e380955e2b1babd5c57bad3e051ae72fd93b12923ccc36a462962d52f5d200fe","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"},"source_kind":"arxiv","source_id":"1502.07926","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:26:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Sxh2LKwklDBFTl0c6MFzkQL4wvUsIkMX+ffEJzPCXkMhN6CZ+CASOs1ct3djgcwsKX959aPSH0IoxP8tsWUJCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T06:52:17.844983Z"},"content_sha256":"731d3e2d1f2901aac215d32293f903166f168218966af5af6c287afc941952ab","schema_version":"1.0","event_id":"sha256:731d3e2d1f2901aac215d32293f903166f168218966af5af6c287afc941952ab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:4OAJKXRLDOV5LRL3VU7AKGXHF7","target":"graph","payload":{"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T02:26:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZG8gK4XD+NToHlal3n2kGqUJAs9UNAsBfQsg3434MWvWBImlGwLmv8z0m//gYIOl9sOBDWinHYI/o7puVPpiBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T06:52:17.845346Z"},"content_sha256":"2b2875301d372ed7ce6dfe94d50ea26049e0961d305d74b7e005f6a8ff32b1db","schema_version":"1.0","event_id":"sha256:2b2875301d372ed7ce6dfe94d50ea26049e0961d305d74b7e005f6a8ff32b1db"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4OAJKXRLDOV5LRL3VU7AKGXHF7/bundle.json","state_url":"https://pith.science/pith/4OAJKXRLDOV5LRL3VU7AKGXHF7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4OAJKXRLDOV5LRL3VU7AKGXHF7/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-02T06:52:17Z","links":{"resolver":"https://pith.science/pith/4OAJKXRLDOV5LRL3VU7AKGXHF7","bundle":"https://pith.science/pith/4OAJKXRLDOV5LRL3VU7AKGXHF7/bundle.json","state":"https://pith.science/pith/4OAJKXRLDOV5LRL3VU7AKGXHF7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4OAJKXRLDOV5LRL3VU7AKGXHF7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:4OAJKXRLDOV5LRL3VU7AKGXHF7","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":"7258736a4e70bdd2fe3ba679a32670c1fd28ab4b80ba1c38010eb0656788042d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2015-02-27T15:11:24Z","title_canon_sha256":"8d832da5451a80c5f2228a6fa992317ffce631b53bafd14415bba07a796131a3"},"schema_version":"1.0","source":{"id":"1502.07926","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1502.07926","created_at":"2026-05-18T02:26:01Z"},{"alias_kind":"arxiv_version","alias_value":"1502.07926v1","created_at":"2026-05-18T02:26:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1502.07926","created_at":"2026-05-18T02:26:01Z"},{"alias_kind":"pith_short_12","alias_value":"4OAJKXRLDOV5","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_16","alias_value":"4OAJKXRLDOV5LRL3","created_at":"2026-05-18T12:29:05Z"},{"alias_kind":"pith_short_8","alias_value":"4OAJKXRL","created_at":"2026-05-18T12:29:05Z"}],"graph_snapshots":[{"event_id":"sha256:2b2875301d372ed7ce6dfe94d50ea26049e0961d305d74b7e005f6a8ff32b1db","target":"graph","created_at":"2026-05-18T02:26:01Z","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"},"paper":{"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","authors_text":"Fredrik Gustafsson, Michel Verhaegen, Tamas Keviczky, Yiming Wan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2015-02-27T15:11:24Z","title":"Data-Driven Robust Receding Horizon Fault Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1502.07926","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":"sha256:731d3e2d1f2901aac215d32293f903166f168218966af5af6c287afc941952ab","target":"record","created_at":"2026-05-18T02:26:01Z","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":"7258736a4e70bdd2fe3ba679a32670c1fd28ab4b80ba1c38010eb0656788042d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2015-02-27T15:11:24Z","title_canon_sha256":"8d832da5451a80c5f2228a6fa992317ffce631b53bafd14415bba07a796131a3"},"schema_version":"1.0","source":{"id":"1502.07926","kind":"arxiv","version":1}},"canonical_sha256":"e380955e2b1babd5c57bad3e051ae72fd93b12923ccc36a462962d52f5d200fe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e380955e2b1babd5c57bad3e051ae72fd93b12923ccc36a462962d52f5d200fe","first_computed_at":"2026-05-18T02:26:01.805820Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:26:01.805820Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9/QKyTD0tpWNcklF73h8pKRVsy/7RTEmK4zUerQ/DT5+biTxmcdwuvC/3r9Vn9bVf3u+Hq5Auu0NPkNT+2f4BA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:26:01.806336Z","signed_message":"canonical_sha256_bytes"},"source_id":"1502.07926","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:731d3e2d1f2901aac215d32293f903166f168218966af5af6c287afc941952ab","sha256:2b2875301d372ed7ce6dfe94d50ea26049e0961d305d74b7e005f6a8ff32b1db"],"state_sha256":"c9881c195fc7533369fab22b7d2a3201ba9fd0a1e5aa6b2e55cad19a2065de87"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v19/Iz/TPDhOU9liHhCxvz0PSxKJKyQIkk+AZxq66ImMVfpYgeDOn/TsyMfrue5HYr1eYOy6YB0/wYzh0zAwDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T06:52:17.847257Z","bundle_sha256":"fd351e41105f9358469ab4cdb5036026b8be3695f815740a7f2eb508891fff0c"}}