{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:XELXWGPQUTRDHIOTDDS5DUSYG4","short_pith_number":"pith:XELXWGPQ","canonical_record":{"source":{"id":"1806.01976","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2018-06-06T01:55:02Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"c712d2f6e8ebabd69f0a2b32c5b791c2fc4a5010e69d3aa1412deb0d88805915","abstract_canon_sha256":"748339f71a4ba254a8b0d9416d5fa3c426382875041379260244d26a219ab206"},"schema_version":"1.0"},"canonical_sha256":"b9177b19f0a4e233a1d318e5d1d258371a050d4069369fc14fb4041cad9ffd7c","source":{"kind":"arxiv","id":"1806.01976","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.01976","created_at":"2026-05-18T00:14:03Z"},{"alias_kind":"arxiv_version","alias_value":"1806.01976v1","created_at":"2026-05-18T00:14:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.01976","created_at":"2026-05-18T00:14:03Z"},{"alias_kind":"pith_short_12","alias_value":"XELXWGPQUTRD","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XELXWGPQUTRDHIOT","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XELXWGPQ","created_at":"2026-05-18T12:33:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:XELXWGPQUTRDHIOTDDS5DUSYG4","target":"record","payload":{"canonical_record":{"source":{"id":"1806.01976","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2018-06-06T01:55:02Z","cross_cats_sorted":["math.OC"],"title_canon_sha256":"c712d2f6e8ebabd69f0a2b32c5b791c2fc4a5010e69d3aa1412deb0d88805915","abstract_canon_sha256":"748339f71a4ba254a8b0d9416d5fa3c426382875041379260244d26a219ab206"},"schema_version":"1.0"},"canonical_sha256":"b9177b19f0a4e233a1d318e5d1d258371a050d4069369fc14fb4041cad9ffd7c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:03.186361Z","signature_b64":"TVvP75R9xpSnT50n9fJ/RAl9JhCiUX3F/tLwuyhe/CCs4YA+pQGd+jHPT51z9CEbAKDqLethit9xf7IDjQMuCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b9177b19f0a4e233a1d318e5d1d258371a050d4069369fc14fb4041cad9ffd7c","last_reissued_at":"2026-05-18T00:14:03.185647Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:03.185647Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.01976","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":"2026-05-18T00:14:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A6AtHKUJ0DToB0a+hVVkClFJS1xfMQWYcE9JGVo2aqB856kGm3gCobXnuu36SV2TBAqjdJjtj4+ggfkM9uX1Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T05:24:36.760152Z"},"content_sha256":"d1184aaad2eb68714be1d8a1133afe57724f38318bb920501a8a1f69009154bf","schema_version":"1.0","event_id":"sha256:d1184aaad2eb68714be1d8a1133afe57724f38318bb920501a8a1f69009154bf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:XELXWGPQUTRDHIOTDDS5DUSYG4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PID2018 Benchmark Challenge: Model Predictive Control With Conditional Integral Control Using A General Purpose Optimal Control Problem Solver - RIOTS","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.OC"],"primary_cat":"cs.SY","authors_text":"Abdullah Ates, Jie Yuan, Sina Dehghan, Tiebiao Zhao, YangQuan Chen, Yang Zhao","submitted_at":"2018-06-06T01:55:02Z","abstract_excerpt":"This paper presents a multi-variable Model Predictive Control (MPC) based controller for the one-staged refrigeration cycle model described in the PID2018 Benchmark Challenge. This model represents a two-input, two-output system with strong nonlinearities and high coupling between its variables. A general purpose optimal control problem (OCP) solver Matlab toolbox called RIOTS is used as the OCP solver for the proposed MPC scheme which allows for straightforward implementation of the method and for solving a wide range of constrained linear and nonlinear optimal control problems. A conditional"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.01976","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":"2026-05-18T00:14:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hmv8+tEzi9Lu3oFDsg9Ij6eLFvW/Mhom/9v65bPj6ajSruBUjdSdu/zYWeng58yBMOxL9kshNFfQI/DYudL4Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T05:24:36.760520Z"},"content_sha256":"20cdd3101c73986c81f4b9191d39254fc20f1e3999c8948b9f629fb2ae6d9143","schema_version":"1.0","event_id":"sha256:20cdd3101c73986c81f4b9191d39254fc20f1e3999c8948b9f629fb2ae6d9143"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XELXWGPQUTRDHIOTDDS5DUSYG4/bundle.json","state_url":"https://pith.science/pith/XELXWGPQUTRDHIOTDDS5DUSYG4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XELXWGPQUTRDHIOTDDS5DUSYG4/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":"2026-06-01T05:24:36Z","links":{"resolver":"https://pith.science/pith/XELXWGPQUTRDHIOTDDS5DUSYG4","bundle":"https://pith.science/pith/XELXWGPQUTRDHIOTDDS5DUSYG4/bundle.json","state":"https://pith.science/pith/XELXWGPQUTRDHIOTDDS5DUSYG4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XELXWGPQUTRDHIOTDDS5DUSYG4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:XELXWGPQUTRDHIOTDDS5DUSYG4","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":"748339f71a4ba254a8b0d9416d5fa3c426382875041379260244d26a219ab206","cross_cats_sorted":["math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2018-06-06T01:55:02Z","title_canon_sha256":"c712d2f6e8ebabd69f0a2b32c5b791c2fc4a5010e69d3aa1412deb0d88805915"},"schema_version":"1.0","source":{"id":"1806.01976","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.01976","created_at":"2026-05-18T00:14:03Z"},{"alias_kind":"arxiv_version","alias_value":"1806.01976v1","created_at":"2026-05-18T00:14:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.01976","created_at":"2026-05-18T00:14:03Z"},{"alias_kind":"pith_short_12","alias_value":"XELXWGPQUTRD","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_16","alias_value":"XELXWGPQUTRDHIOT","created_at":"2026-05-18T12:33:01Z"},{"alias_kind":"pith_short_8","alias_value":"XELXWGPQ","created_at":"2026-05-18T12:33:01Z"}],"graph_snapshots":[{"event_id":"sha256:20cdd3101c73986c81f4b9191d39254fc20f1e3999c8948b9f629fb2ae6d9143","target":"graph","created_at":"2026-05-18T00:14:03Z","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 multi-variable Model Predictive Control (MPC) based controller for the one-staged refrigeration cycle model described in the PID2018 Benchmark Challenge. This model represents a two-input, two-output system with strong nonlinearities and high coupling between its variables. A general purpose optimal control problem (OCP) solver Matlab toolbox called RIOTS is used as the OCP solver for the proposed MPC scheme which allows for straightforward implementation of the method and for solving a wide range of constrained linear and nonlinear optimal control problems. A conditional","authors_text":"Abdullah Ates, Jie Yuan, Sina Dehghan, Tiebiao Zhao, YangQuan Chen, Yang Zhao","cross_cats":["math.OC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2018-06-06T01:55:02Z","title":"PID2018 Benchmark Challenge: Model Predictive Control With Conditional Integral Control Using A General Purpose Optimal Control Problem Solver - RIOTS"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.01976","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:d1184aaad2eb68714be1d8a1133afe57724f38318bb920501a8a1f69009154bf","target":"record","created_at":"2026-05-18T00:14:03Z","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":"748339f71a4ba254a8b0d9416d5fa3c426382875041379260244d26a219ab206","cross_cats_sorted":["math.OC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2018-06-06T01:55:02Z","title_canon_sha256":"c712d2f6e8ebabd69f0a2b32c5b791c2fc4a5010e69d3aa1412deb0d88805915"},"schema_version":"1.0","source":{"id":"1806.01976","kind":"arxiv","version":1}},"canonical_sha256":"b9177b19f0a4e233a1d318e5d1d258371a050d4069369fc14fb4041cad9ffd7c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9177b19f0a4e233a1d318e5d1d258371a050d4069369fc14fb4041cad9ffd7c","first_computed_at":"2026-05-18T00:14:03.185647Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:03.185647Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TVvP75R9xpSnT50n9fJ/RAl9JhCiUX3F/tLwuyhe/CCs4YA+pQGd+jHPT51z9CEbAKDqLethit9xf7IDjQMuCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:03.186361Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.01976","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d1184aaad2eb68714be1d8a1133afe57724f38318bb920501a8a1f69009154bf","sha256:20cdd3101c73986c81f4b9191d39254fc20f1e3999c8948b9f629fb2ae6d9143"],"state_sha256":"55a3c4e723363ac4bb34b1bc5fe3b9e857d6120c24e478b6973da03e62162097"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZeMyvk2eFzc2aC1jb7TZ4B5Z8jcpsJB6OMd5QTT/b+fq6A4JxM79jcC4/L338RDkuZ1idFrsT78Fen+H8BhfBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T05:24:36.762484Z","bundle_sha256":"409f2fdb025657c66bd0541b2af6299da6c7b96ae12a7d00f4e1061c4f69fac4"}}