{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:ZGZYEH3CVUNWOTKSUTJATTWIWJ","short_pith_number":"pith:ZGZYEH3C","schema_version":"1.0","canonical_sha256":"c9b3821f62ad1b674d52a4d209cec8b26884eb691419bbe775a0970e48945e2f","source":{"kind":"arxiv","id":"1611.09844","version":1},"attestation_state":"computed","paper":{"title":"Simulation studies on the design of optimum PID controllers to suppress chaotic oscillations in a family of Lorenz-like multi-wing attractors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","math.DS","math.OC"],"primary_cat":"nlin.CD","authors_text":"Anish Acharya, Indranil Pan, Saptarshi Das","submitted_at":"2016-11-29T20:57:13Z","abstract_excerpt":"Multi-wing chaotic attractors are highly complex nonlinear dynamical systems with higher number of index-2 equilibrium points. Due to the presence of several equilibrium points, randomness and hence the complexity of the state time series for these multi-wing chaotic systems is much higher than that of the conventional double-wing chaotic attractors. A real-coded Genetic Algorithm (GA) based global optimization framework has been adopted in this paper as a common template for designing optimum Proportional-Integral-Derivative (PID) controllers in order to control the state trajectories of four"},"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":"1611.09844","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"nlin.CD","submitted_at":"2016-11-29T20:57:13Z","cross_cats_sorted":["cs.SY","math.DS","math.OC"],"title_canon_sha256":"648d9f370cbb606fdb65629ec3b95ad64d2402e7c1aabfe6e3ae16180adffe9b","abstract_canon_sha256":"3d5a4cc70b71a6d290413d39a2fc82235571410f197c3ddf40dcca9fdbc0de06"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:56:12.853961Z","signature_b64":"90oEkWrLFlJtmhnXwWWyJNo2gX1yGlxw4hch+OQt/BU4vNGBdDA3SO9Tmr3c/wKn+kILDmbkPFblU/g3Yjt7CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c9b3821f62ad1b674d52a4d209cec8b26884eb691419bbe775a0970e48945e2f","last_reissued_at":"2026-05-18T00:56:12.853258Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:56:12.853258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Simulation studies on the design of optimum PID controllers to suppress chaotic oscillations in a family of Lorenz-like multi-wing attractors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY","math.DS","math.OC"],"primary_cat":"nlin.CD","authors_text":"Anish Acharya, Indranil Pan, Saptarshi Das","submitted_at":"2016-11-29T20:57:13Z","abstract_excerpt":"Multi-wing chaotic attractors are highly complex nonlinear dynamical systems with higher number of index-2 equilibrium points. Due to the presence of several equilibrium points, randomness and hence the complexity of the state time series for these multi-wing chaotic systems is much higher than that of the conventional double-wing chaotic attractors. A real-coded Genetic Algorithm (GA) based global optimization framework has been adopted in this paper as a common template for designing optimum Proportional-Integral-Derivative (PID) controllers in order to control the state trajectories of four"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.09844","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":"1611.09844","created_at":"2026-05-18T00:56:12.853379+00:00"},{"alias_kind":"arxiv_version","alias_value":"1611.09844v1","created_at":"2026-05-18T00:56:12.853379+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.09844","created_at":"2026-05-18T00:56:12.853379+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZGZYEH3CVUNW","created_at":"2026-05-18T12:30:53.716459+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZGZYEH3CVUNWOTKS","created_at":"2026-05-18T12:30:53.716459+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZGZYEH3C","created_at":"2026-05-18T12:30:53.716459+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/ZGZYEH3CVUNWOTKSUTJATTWIWJ","json":"https://pith.science/pith/ZGZYEH3CVUNWOTKSUTJATTWIWJ.json","graph_json":"https://pith.science/api/pith-number/ZGZYEH3CVUNWOTKSUTJATTWIWJ/graph.json","events_json":"https://pith.science/api/pith-number/ZGZYEH3CVUNWOTKSUTJATTWIWJ/events.json","paper":"https://pith.science/paper/ZGZYEH3C"},"agent_actions":{"view_html":"https://pith.science/pith/ZGZYEH3CVUNWOTKSUTJATTWIWJ","download_json":"https://pith.science/pith/ZGZYEH3CVUNWOTKSUTJATTWIWJ.json","view_paper":"https://pith.science/paper/ZGZYEH3C","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1611.09844&json=true","fetch_graph":"https://pith.science/api/pith-number/ZGZYEH3CVUNWOTKSUTJATTWIWJ/graph.json","fetch_events":"https://pith.science/api/pith-number/ZGZYEH3CVUNWOTKSUTJATTWIWJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZGZYEH3CVUNWOTKSUTJATTWIWJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZGZYEH3CVUNWOTKSUTJATTWIWJ/action/storage_attestation","attest_author":"https://pith.science/pith/ZGZYEH3CVUNWOTKSUTJATTWIWJ/action/author_attestation","sign_citation":"https://pith.science/pith/ZGZYEH3CVUNWOTKSUTJATTWIWJ/action/citation_signature","submit_replication":"https://pith.science/pith/ZGZYEH3CVUNWOTKSUTJATTWIWJ/action/replication_record"}},"created_at":"2026-05-18T00:56:12.853379+00:00","updated_at":"2026-05-18T00:56:12.853379+00:00"}