{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:YFFWCLQRFP4Z6T3VN3CJO6FPAE","short_pith_number":"pith:YFFWCLQR","schema_version":"1.0","canonical_sha256":"c14b612e112bf99f4f756ec49778af0114e390cd39c718b8b17350b965c6d5e1","source":{"kind":"arxiv","id":"2405.03561","version":1},"attestation_state":"computed","paper":{"title":"Model- and Data-Based Control of Self-Balancing Robots: Practical Educational Approach with LabVIEW and Arduino","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"cs.RO","authors_text":"Abdelrahman Abdelgawad, Ayman Nada, Tarek Shohdy","submitted_at":"2024-05-06T15:32:09Z","abstract_excerpt":"A two-wheeled self-balancing robot (TWSBR) is non-linear and unstable system. This study compares the performance of model-based and data-based control strategies for TWSBRs, with an explicit practical educational approach. Model-based control (MBC) algorithms such as Lead-Lag and PID control require a proficient dynamic modeling and mathematical manipulation to drive the linearized equations of motions and develop the appropriate controller. On the other side, data-based control (DBC) methods, like fuzzy control, provide a simpler and quicker approach to designing effective controllers withou"},"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":"2405.03561","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-05-06T15:32:09Z","cross_cats_sorted":["cs.SY","eess.SY"],"title_canon_sha256":"b4f61c03d8459c431d9d49df0a0fe3f0ef664a947de43ad2b3bce08dc175bf52","abstract_canon_sha256":"21b1072b4a9b3d836240f5a74fe9ef60da46af306119281a80e82f1ce64ea113"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:16:04.461891Z","signature_b64":"8KA+TNPj6OyeVmcFizI+4CD/9Df5obwZZ8ftMDV6oc6qn3eXsVOKf7l5Y3h8+MnCaCkHvIo7eRElD6q2wEwpCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c14b612e112bf99f4f756ec49778af0114e390cd39c718b8b17350b965c6d5e1","last_reissued_at":"2026-07-05T08:16:04.461531Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:16:04.461531Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Model- and Data-Based Control of Self-Balancing Robots: Practical Educational Approach with LabVIEW and Arduino","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY","eess.SY"],"primary_cat":"cs.RO","authors_text":"Abdelrahman Abdelgawad, Ayman Nada, Tarek Shohdy","submitted_at":"2024-05-06T15:32:09Z","abstract_excerpt":"A two-wheeled self-balancing robot (TWSBR) is non-linear and unstable system. This study compares the performance of model-based and data-based control strategies for TWSBRs, with an explicit practical educational approach. Model-based control (MBC) algorithms such as Lead-Lag and PID control require a proficient dynamic modeling and mathematical manipulation to drive the linearized equations of motions and develop the appropriate controller. On the other side, data-based control (DBC) methods, like fuzzy control, provide a simpler and quicker approach to designing effective controllers withou"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.03561","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2405.03561/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2405.03561","created_at":"2026-07-05T08:16:04.461586+00:00"},{"alias_kind":"arxiv_version","alias_value":"2405.03561v1","created_at":"2026-07-05T08:16:04.461586+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.03561","created_at":"2026-07-05T08:16:04.461586+00:00"},{"alias_kind":"pith_short_12","alias_value":"YFFWCLQRFP4Z","created_at":"2026-07-05T08:16:04.461586+00:00"},{"alias_kind":"pith_short_16","alias_value":"YFFWCLQRFP4Z6T3V","created_at":"2026-07-05T08:16:04.461586+00:00"},{"alias_kind":"pith_short_8","alias_value":"YFFWCLQR","created_at":"2026-07-05T08:16:04.461586+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/YFFWCLQRFP4Z6T3VN3CJO6FPAE","json":"https://pith.science/pith/YFFWCLQRFP4Z6T3VN3CJO6FPAE.json","graph_json":"https://pith.science/api/pith-number/YFFWCLQRFP4Z6T3VN3CJO6FPAE/graph.json","events_json":"https://pith.science/api/pith-number/YFFWCLQRFP4Z6T3VN3CJO6FPAE/events.json","paper":"https://pith.science/paper/YFFWCLQR"},"agent_actions":{"view_html":"https://pith.science/pith/YFFWCLQRFP4Z6T3VN3CJO6FPAE","download_json":"https://pith.science/pith/YFFWCLQRFP4Z6T3VN3CJO6FPAE.json","view_paper":"https://pith.science/paper/YFFWCLQR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2405.03561&json=true","fetch_graph":"https://pith.science/api/pith-number/YFFWCLQRFP4Z6T3VN3CJO6FPAE/graph.json","fetch_events":"https://pith.science/api/pith-number/YFFWCLQRFP4Z6T3VN3CJO6FPAE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YFFWCLQRFP4Z6T3VN3CJO6FPAE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YFFWCLQRFP4Z6T3VN3CJO6FPAE/action/storage_attestation","attest_author":"https://pith.science/pith/YFFWCLQRFP4Z6T3VN3CJO6FPAE/action/author_attestation","sign_citation":"https://pith.science/pith/YFFWCLQRFP4Z6T3VN3CJO6FPAE/action/citation_signature","submit_replication":"https://pith.science/pith/YFFWCLQRFP4Z6T3VN3CJO6FPAE/action/replication_record"}},"created_at":"2026-07-05T08:16:04.461586+00:00","updated_at":"2026-07-05T08:16:04.461586+00:00"}