{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:BS5IUXM7ZD6JQRSIF55SUCZQLE","short_pith_number":"pith:BS5IUXM7","canonical_record":{"source":{"id":"1302.2093","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2013-02-08T17:38:29Z","cross_cats_sorted":["cs.MA","cs.SY","math.NA"],"title_canon_sha256":"9764f5c2e2beb4284a809910875f1282ebe0a06cf074887c4f8175f2c52c365e","abstract_canon_sha256":"0eef466a33f6443087825db492798e8ad6a4c5fb213d452cf044b1016ca5e3df"},"schema_version":"1.0"},"canonical_sha256":"0cba8a5d9fc8fc9846482f7b2a0b305920374d4fa9b0442d5246cd8e5c535788","source":{"kind":"arxiv","id":"1302.2093","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1302.2093","created_at":"2026-05-18T03:34:12Z"},{"alias_kind":"arxiv_version","alias_value":"1302.2093v1","created_at":"2026-05-18T03:34:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1302.2093","created_at":"2026-05-18T03:34:12Z"},{"alias_kind":"pith_short_12","alias_value":"BS5IUXM7ZD6J","created_at":"2026-05-18T12:27:40Z"},{"alias_kind":"pith_short_16","alias_value":"BS5IUXM7ZD6JQRSI","created_at":"2026-05-18T12:27:40Z"},{"alias_kind":"pith_short_8","alias_value":"BS5IUXM7","created_at":"2026-05-18T12:27:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:BS5IUXM7ZD6JQRSIF55SUCZQLE","target":"record","payload":{"canonical_record":{"source":{"id":"1302.2093","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2013-02-08T17:38:29Z","cross_cats_sorted":["cs.MA","cs.SY","math.NA"],"title_canon_sha256":"9764f5c2e2beb4284a809910875f1282ebe0a06cf074887c4f8175f2c52c365e","abstract_canon_sha256":"0eef466a33f6443087825db492798e8ad6a4c5fb213d452cf044b1016ca5e3df"},"schema_version":"1.0"},"canonical_sha256":"0cba8a5d9fc8fc9846482f7b2a0b305920374d4fa9b0442d5246cd8e5c535788","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:34:12.785963Z","signature_b64":"FtTx6SEZNEdd9RuvTYetvTCzWa2oGRrq7pdFGap9JflhHs5y5Xk9AesXlJDByUDaf80wM1BQB0x+3qdzppOBAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0cba8a5d9fc8fc9846482f7b2a0b305920374d4fa9b0442d5246cd8e5c535788","last_reissued_at":"2026-05-18T03:34:12.784969Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:34:12.784969Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1302.2093","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":"2026-05-18T03:34:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NeTBsQVMUGyF8dY/a9hHvvXcymdvAuN2W9SW496pNNqRMnwe4h7OOWP57v0CC6wL2tEjxHwcsYySdMBbH06lAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T06:07:49.970030Z"},"content_sha256":"4faff5f90b5474b066f5d53b69ed0f7b888957ec08681ba1f67ce41a56d197c5","schema_version":"1.0","event_id":"sha256:4faff5f90b5474b066f5d53b69ed0f7b888957ec08681ba1f67ce41a56d197c5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:BS5IUXM7ZD6JQRSIF55SUCZQLE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A distributed accelerated gradient algorithm for distributed model predictive control of a hydro power valley","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MA","cs.SY","math.NA"],"primary_cat":"math.OC","authors_text":"Anders Rantzer, Bart De Schutter, Minh Dang Doan, Pontus Giselsson, Tam\\'as Keviczky","submitted_at":"2013-02-08T17:38:29Z","abstract_excerpt":"A distributed model predictive control (DMPC) approach based on distributed optimization is applied to the power reference tracking problem of a hydro power valley (HPV) system. The applied optimization algorithm is based on accelerated gradient methods and achieves a convergence rate of O(1/k^2), where k is the iteration number. Major challenges in the control of the HPV include a nonlinear and large-scale model, nonsmoothness in the power-production functions, and a globally coupled cost function that prevents distributed schemes to be applied directly. We propose a linearization and approxi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1302.2093","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":"2026-05-18T03:34:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vHdtKPj5JeVHmrIr8EmVHRcdy1FT9ke5g93sF5ayAB8g4gq60/KlIT/tOpYU5u+es2f8g7Bng4gRdy9+So8UAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-24T06:07:49.970688Z"},"content_sha256":"fe535b641e670c44d2cdabdce017c706eb17852f3392e38aeb43a050b389775d","schema_version":"1.0","event_id":"sha256:fe535b641e670c44d2cdabdce017c706eb17852f3392e38aeb43a050b389775d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BS5IUXM7ZD6JQRSIF55SUCZQLE/bundle.json","state_url":"https://pith.science/pith/BS5IUXM7ZD6JQRSIF55SUCZQLE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BS5IUXM7ZD6JQRSIF55SUCZQLE/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":"2026-05-24T06:07:49Z","links":{"resolver":"https://pith.science/pith/BS5IUXM7ZD6JQRSIF55SUCZQLE","bundle":"https://pith.science/pith/BS5IUXM7ZD6JQRSIF55SUCZQLE/bundle.json","state":"https://pith.science/pith/BS5IUXM7ZD6JQRSIF55SUCZQLE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BS5IUXM7ZD6JQRSIF55SUCZQLE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:BS5IUXM7ZD6JQRSIF55SUCZQLE","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":"0eef466a33f6443087825db492798e8ad6a4c5fb213d452cf044b1016ca5e3df","cross_cats_sorted":["cs.MA","cs.SY","math.NA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2013-02-08T17:38:29Z","title_canon_sha256":"9764f5c2e2beb4284a809910875f1282ebe0a06cf074887c4f8175f2c52c365e"},"schema_version":"1.0","source":{"id":"1302.2093","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1302.2093","created_at":"2026-05-18T03:34:12Z"},{"alias_kind":"arxiv_version","alias_value":"1302.2093v1","created_at":"2026-05-18T03:34:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1302.2093","created_at":"2026-05-18T03:34:12Z"},{"alias_kind":"pith_short_12","alias_value":"BS5IUXM7ZD6J","created_at":"2026-05-18T12:27:40Z"},{"alias_kind":"pith_short_16","alias_value":"BS5IUXM7ZD6JQRSI","created_at":"2026-05-18T12:27:40Z"},{"alias_kind":"pith_short_8","alias_value":"BS5IUXM7","created_at":"2026-05-18T12:27:40Z"}],"graph_snapshots":[{"event_id":"sha256:fe535b641e670c44d2cdabdce017c706eb17852f3392e38aeb43a050b389775d","target":"graph","created_at":"2026-05-18T03:34:12Z","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":"A distributed model predictive control (DMPC) approach based on distributed optimization is applied to the power reference tracking problem of a hydro power valley (HPV) system. The applied optimization algorithm is based on accelerated gradient methods and achieves a convergence rate of O(1/k^2), where k is the iteration number. Major challenges in the control of the HPV include a nonlinear and large-scale model, nonsmoothness in the power-production functions, and a globally coupled cost function that prevents distributed schemes to be applied directly. We propose a linearization and approxi","authors_text":"Anders Rantzer, Bart De Schutter, Minh Dang Doan, Pontus Giselsson, Tam\\'as Keviczky","cross_cats":["cs.MA","cs.SY","math.NA"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2013-02-08T17:38:29Z","title":"A distributed accelerated gradient algorithm for distributed model predictive control of a hydro power valley"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1302.2093","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":"sha256:4faff5f90b5474b066f5d53b69ed0f7b888957ec08681ba1f67ce41a56d197c5","target":"record","created_at":"2026-05-18T03:34:12Z","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":"0eef466a33f6443087825db492798e8ad6a4c5fb213d452cf044b1016ca5e3df","cross_cats_sorted":["cs.MA","cs.SY","math.NA"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2013-02-08T17:38:29Z","title_canon_sha256":"9764f5c2e2beb4284a809910875f1282ebe0a06cf074887c4f8175f2c52c365e"},"schema_version":"1.0","source":{"id":"1302.2093","kind":"arxiv","version":1}},"canonical_sha256":"0cba8a5d9fc8fc9846482f7b2a0b305920374d4fa9b0442d5246cd8e5c535788","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0cba8a5d9fc8fc9846482f7b2a0b305920374d4fa9b0442d5246cd8e5c535788","first_computed_at":"2026-05-18T03:34:12.784969Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:34:12.784969Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FtTx6SEZNEdd9RuvTYetvTCzWa2oGRrq7pdFGap9JflhHs5y5Xk9AesXlJDByUDaf80wM1BQB0x+3qdzppOBAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:34:12.785963Z","signed_message":"canonical_sha256_bytes"},"source_id":"1302.2093","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4faff5f90b5474b066f5d53b69ed0f7b888957ec08681ba1f67ce41a56d197c5","sha256:fe535b641e670c44d2cdabdce017c706eb17852f3392e38aeb43a050b389775d"],"state_sha256":"12a201a3eee9e41abbc42ee345af9395a07e61dc23ca1168ccd9dee235ef97ba"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sXoVdd8Pxlrbt3iNcD4HfJzrnTiGiq96oDwrhE0e9q1VC3rCcQ9BO5/aMCGqiNpl2Zymg2p2HNp+AhJqKhCvCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-24T06:07:49.973908Z","bundle_sha256":"6f8e285673ae1b3abf75909859f05482baf4f525e3158e68e682c86e7f2cfde5"}}