{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:63Q3C7OUAFA4BVFS25OIOOZ43Y","short_pith_number":"pith:63Q3C7OU","schema_version":"1.0","canonical_sha256":"f6e1b17dd40141c0d4b2d75c873b3cde37a54d2cc70d8d9667eacc5d9519c12f","source":{"kind":"arxiv","id":"1610.08777","version":1},"attestation_state":"computed","paper":{"title":"A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Julian Eckstein, Kai Sch\\\"afer, Michael Dellnitz, Sebastian Peitz, Sina Ober-Bl\\\"obaum, Ulrich K\\\"ohler","submitted_at":"2016-10-27T13:49:42Z","abstract_excerpt":"We present a new algorithm for model predictive control of non-linear systems with respect to multiple, conflicting objectives. The idea is to provide a possibility to change the objective in real-time, e.g.~as a reaction to changes in the environment or the system state itself. The algorithm utilises elements from various well-established concepts, namely multiobjective optimal control, economic as well as explicit model predictive control and motion planning with motion primitives. In order to realise real-time applicability, we split the computation into an online and an offline phase and w"},"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":"1610.08777","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2016-10-27T13:49:42Z","cross_cats_sorted":[],"title_canon_sha256":"0ff213ce8d0d170f05d98a4fa165402be5d707d4aa91ee70e0a80242d33574ad","abstract_canon_sha256":"837d79e6988752921ff57aeda36f7e9d090372f36f2eabebb342f1ba174350eb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:09:10.293149Z","signature_b64":"dYD0yX8bLgmAatXKCJ59qzD/kJqbzjghse5PUTNzt7H59Z32Mi5clBXTCPBA8CYG1OPseiU8VTxR22735SheBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f6e1b17dd40141c0d4b2d75c873b3cde37a54d2cc70d8d9667eacc5d9519c12f","last_reissued_at":"2026-05-18T00:09:10.292495Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:09:10.292495Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Julian Eckstein, Kai Sch\\\"afer, Michael Dellnitz, Sebastian Peitz, Sina Ober-Bl\\\"obaum, Ulrich K\\\"ohler","submitted_at":"2016-10-27T13:49:42Z","abstract_excerpt":"We present a new algorithm for model predictive control of non-linear systems with respect to multiple, conflicting objectives. The idea is to provide a possibility to change the objective in real-time, e.g.~as a reaction to changes in the environment or the system state itself. The algorithm utilises elements from various well-established concepts, namely multiobjective optimal control, economic as well as explicit model predictive control and motion planning with motion primitives. In order to realise real-time applicability, we split the computation into an online and an offline phase and w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.08777","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":"1610.08777","created_at":"2026-05-18T00:09:10.292598+00:00"},{"alias_kind":"arxiv_version","alias_value":"1610.08777v1","created_at":"2026-05-18T00:09:10.292598+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.08777","created_at":"2026-05-18T00:09:10.292598+00:00"},{"alias_kind":"pith_short_12","alias_value":"63Q3C7OUAFA4","created_at":"2026-05-18T12:30:01.593930+00:00"},{"alias_kind":"pith_short_16","alias_value":"63Q3C7OUAFA4BVFS","created_at":"2026-05-18T12:30:01.593930+00:00"},{"alias_kind":"pith_short_8","alias_value":"63Q3C7OU","created_at":"2026-05-18T12:30:01.593930+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/63Q3C7OUAFA4BVFS25OIOOZ43Y","json":"https://pith.science/pith/63Q3C7OUAFA4BVFS25OIOOZ43Y.json","graph_json":"https://pith.science/api/pith-number/63Q3C7OUAFA4BVFS25OIOOZ43Y/graph.json","events_json":"https://pith.science/api/pith-number/63Q3C7OUAFA4BVFS25OIOOZ43Y/events.json","paper":"https://pith.science/paper/63Q3C7OU"},"agent_actions":{"view_html":"https://pith.science/pith/63Q3C7OUAFA4BVFS25OIOOZ43Y","download_json":"https://pith.science/pith/63Q3C7OUAFA4BVFS25OIOOZ43Y.json","view_paper":"https://pith.science/paper/63Q3C7OU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1610.08777&json=true","fetch_graph":"https://pith.science/api/pith-number/63Q3C7OUAFA4BVFS25OIOOZ43Y/graph.json","fetch_events":"https://pith.science/api/pith-number/63Q3C7OUAFA4BVFS25OIOOZ43Y/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/63Q3C7OUAFA4BVFS25OIOOZ43Y/action/timestamp_anchor","attest_storage":"https://pith.science/pith/63Q3C7OUAFA4BVFS25OIOOZ43Y/action/storage_attestation","attest_author":"https://pith.science/pith/63Q3C7OUAFA4BVFS25OIOOZ43Y/action/author_attestation","sign_citation":"https://pith.science/pith/63Q3C7OUAFA4BVFS25OIOOZ43Y/action/citation_signature","submit_replication":"https://pith.science/pith/63Q3C7OUAFA4BVFS25OIOOZ43Y/action/replication_record"}},"created_at":"2026-05-18T00:09:10.292598+00:00","updated_at":"2026-05-18T00:09:10.292598+00:00"}