{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:55UNAYJZGA2SZKQV4GLEWW2OJL","short_pith_number":"pith:55UNAYJZ","schema_version":"1.0","canonical_sha256":"ef68d0613930352caa15e1964b5b4e4ac8f725c0ad603a1e779c973ac651e138","source":{"kind":"arxiv","id":"1706.08191","version":1},"attestation_state":"computed","paper":{"title":"Sparse Output Feedback Synthesis via Proximal Alternating Linearization Method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Fu Lin, Veronica Adetola","submitted_at":"2017-06-26T00:00:53Z","abstract_excerpt":"We consider the co-design problem of sparse output feedback and row/column-sparse output matrix. A row-sparse (resp. column-sparse) output matrix implies a small number of outputs (resp. sensor measurements). We impose row/column-cardinality constraint on the output matrix and the cardinality constraint on the output feedback gain. The resulting nonconvex, nonsmooth optimal control problem is solved by using the proximal alternating linearization method (PALM). One advantage of PALM is that the proximal operators for sparsity constraints admit closed-form expressions and are easy to implement."},"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":"1706.08191","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2017-06-26T00:00:53Z","cross_cats_sorted":[],"title_canon_sha256":"2ecfdb4a38850837a212193f7bca536bda3c4684eb38b2f2cdc795711e3cca0c","abstract_canon_sha256":"08c221cd09d06fa9a050fcb2cebcab5f91a7e4b6e7bbb367d78c317676c90a7d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:41:43.276078Z","signature_b64":"/hQHvodrgTH/l/jfTIatGEZpIt/tgLGcMeIKToUwKAkwi2SENH4q/P0W0UKuXXS2JmlPz2qalz947Q8q6klWAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ef68d0613930352caa15e1964b5b4e4ac8f725c0ad603a1e779c973ac651e138","last_reissued_at":"2026-05-18T00:41:43.275555Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:41:43.275555Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Sparse Output Feedback Synthesis via Proximal Alternating Linearization Method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.OC","authors_text":"Fu Lin, Veronica Adetola","submitted_at":"2017-06-26T00:00:53Z","abstract_excerpt":"We consider the co-design problem of sparse output feedback and row/column-sparse output matrix. A row-sparse (resp. column-sparse) output matrix implies a small number of outputs (resp. sensor measurements). We impose row/column-cardinality constraint on the output matrix and the cardinality constraint on the output feedback gain. The resulting nonconvex, nonsmooth optimal control problem is solved by using the proximal alternating linearization method (PALM). One advantage of PALM is that the proximal operators for sparsity constraints admit closed-form expressions and are easy to implement."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.08191","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":"1706.08191","created_at":"2026-05-18T00:41:43.275651+00:00"},{"alias_kind":"arxiv_version","alias_value":"1706.08191v1","created_at":"2026-05-18T00:41:43.275651+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.08191","created_at":"2026-05-18T00:41:43.275651+00:00"},{"alias_kind":"pith_short_12","alias_value":"55UNAYJZGA2S","created_at":"2026-05-18T12:31:00.734936+00:00"},{"alias_kind":"pith_short_16","alias_value":"55UNAYJZGA2SZKQV","created_at":"2026-05-18T12:31:00.734936+00:00"},{"alias_kind":"pith_short_8","alias_value":"55UNAYJZ","created_at":"2026-05-18T12:31:00.734936+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/55UNAYJZGA2SZKQV4GLEWW2OJL","json":"https://pith.science/pith/55UNAYJZGA2SZKQV4GLEWW2OJL.json","graph_json":"https://pith.science/api/pith-number/55UNAYJZGA2SZKQV4GLEWW2OJL/graph.json","events_json":"https://pith.science/api/pith-number/55UNAYJZGA2SZKQV4GLEWW2OJL/events.json","paper":"https://pith.science/paper/55UNAYJZ"},"agent_actions":{"view_html":"https://pith.science/pith/55UNAYJZGA2SZKQV4GLEWW2OJL","download_json":"https://pith.science/pith/55UNAYJZGA2SZKQV4GLEWW2OJL.json","view_paper":"https://pith.science/paper/55UNAYJZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1706.08191&json=true","fetch_graph":"https://pith.science/api/pith-number/55UNAYJZGA2SZKQV4GLEWW2OJL/graph.json","fetch_events":"https://pith.science/api/pith-number/55UNAYJZGA2SZKQV4GLEWW2OJL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/55UNAYJZGA2SZKQV4GLEWW2OJL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/55UNAYJZGA2SZKQV4GLEWW2OJL/action/storage_attestation","attest_author":"https://pith.science/pith/55UNAYJZGA2SZKQV4GLEWW2OJL/action/author_attestation","sign_citation":"https://pith.science/pith/55UNAYJZGA2SZKQV4GLEWW2OJL/action/citation_signature","submit_replication":"https://pith.science/pith/55UNAYJZGA2SZKQV4GLEWW2OJL/action/replication_record"}},"created_at":"2026-05-18T00:41:43.275651+00:00","updated_at":"2026-05-18T00:41:43.275651+00:00"}