{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:3UNOX3GFN4F3XGUP2O46IU7C6E","short_pith_number":"pith:3UNOX3GF","schema_version":"1.0","canonical_sha256":"dd1aebecc56f0bbb9a8fd3b9e453e2f119cf05340fd6bcc50a4808699cf20c8c","source":{"kind":"arxiv","id":"1205.1765","version":2},"attestation_state":"computed","paper":{"title":"Chaotic multi-objective optimization based design of fractional order PI{\\lambda}D{\\mu} controller in AVR system","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE"],"primary_cat":"cs.SY","authors_text":"Indranil Pan, Saptarshi Das","submitted_at":"2012-05-08T18:09:46Z","abstract_excerpt":"In this paper, a fractional order (FO) PI{\\lambda}D\\mu controller is designed to take care of various contradictory objective functions for an Automatic Voltage Regulator (AVR) system. An improved evolutionary Non-dominated Sorting Genetic Algorithm II (NSGA II), which is augmented with a chaotic map for greater effectiveness, is used for the multi-objective optimization problem. The Pareto fronts showing the trade-off between different design criteria are obtained for the PI{\\lambda}D\\mu and PID controller. A comparative analysis is done with respect to the standard PID controller to demonstr"},"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":"1205.1765","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SY","submitted_at":"2012-05-08T18:09:46Z","cross_cats_sorted":["cs.NE"],"title_canon_sha256":"aca3b189e3ac287ee48443c9f28526cb4fd58884ceea517956924d11675d1af4","abstract_canon_sha256":"ff6f4e69e3cf82aa584366e5026733885c962789b09623da907924c64281cd32"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:37:08.604879Z","signature_b64":"6lbtMlQm7qAjZ41pQqSX3QMPB7ImbrdTReR+afvDXrXXX0KxWauQ3xK4i9rxapYa0gN5AQEnRSq9r/FYTuhFCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd1aebecc56f0bbb9a8fd3b9e453e2f119cf05340fd6bcc50a4808699cf20c8c","last_reissued_at":"2026-05-18T03:37:08.604084Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:37:08.604084Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Chaotic multi-objective optimization based design of fractional order PI{\\lambda}D{\\mu} controller in AVR system","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE"],"primary_cat":"cs.SY","authors_text":"Indranil Pan, Saptarshi Das","submitted_at":"2012-05-08T18:09:46Z","abstract_excerpt":"In this paper, a fractional order (FO) PI{\\lambda}D\\mu controller is designed to take care of various contradictory objective functions for an Automatic Voltage Regulator (AVR) system. An improved evolutionary Non-dominated Sorting Genetic Algorithm II (NSGA II), which is augmented with a chaotic map for greater effectiveness, is used for the multi-objective optimization problem. The Pareto fronts showing the trade-off between different design criteria are obtained for the PI{\\lambda}D\\mu and PID controller. A comparative analysis is done with respect to the standard PID controller to demonstr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1205.1765","kind":"arxiv","version":2},"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":"1205.1765","created_at":"2026-05-18T03:37:08.604207+00:00"},{"alias_kind":"arxiv_version","alias_value":"1205.1765v2","created_at":"2026-05-18T03:37:08.604207+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1205.1765","created_at":"2026-05-18T03:37:08.604207+00:00"},{"alias_kind":"pith_short_12","alias_value":"3UNOX3GFN4F3","created_at":"2026-05-18T12:26:53.410803+00:00"},{"alias_kind":"pith_short_16","alias_value":"3UNOX3GFN4F3XGUP","created_at":"2026-05-18T12:26:53.410803+00:00"},{"alias_kind":"pith_short_8","alias_value":"3UNOX3GF","created_at":"2026-05-18T12:26:53.410803+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/3UNOX3GFN4F3XGUP2O46IU7C6E","json":"https://pith.science/pith/3UNOX3GFN4F3XGUP2O46IU7C6E.json","graph_json":"https://pith.science/api/pith-number/3UNOX3GFN4F3XGUP2O46IU7C6E/graph.json","events_json":"https://pith.science/api/pith-number/3UNOX3GFN4F3XGUP2O46IU7C6E/events.json","paper":"https://pith.science/paper/3UNOX3GF"},"agent_actions":{"view_html":"https://pith.science/pith/3UNOX3GFN4F3XGUP2O46IU7C6E","download_json":"https://pith.science/pith/3UNOX3GFN4F3XGUP2O46IU7C6E.json","view_paper":"https://pith.science/paper/3UNOX3GF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1205.1765&json=true","fetch_graph":"https://pith.science/api/pith-number/3UNOX3GFN4F3XGUP2O46IU7C6E/graph.json","fetch_events":"https://pith.science/api/pith-number/3UNOX3GFN4F3XGUP2O46IU7C6E/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3UNOX3GFN4F3XGUP2O46IU7C6E/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3UNOX3GFN4F3XGUP2O46IU7C6E/action/storage_attestation","attest_author":"https://pith.science/pith/3UNOX3GFN4F3XGUP2O46IU7C6E/action/author_attestation","sign_citation":"https://pith.science/pith/3UNOX3GFN4F3XGUP2O46IU7C6E/action/citation_signature","submit_replication":"https://pith.science/pith/3UNOX3GFN4F3XGUP2O46IU7C6E/action/replication_record"}},"created_at":"2026-05-18T03:37:08.604207+00:00","updated_at":"2026-05-18T03:37:08.604207+00:00"}