{"id":"W2110787381","doi":"10.1109/acc.2006.1655355","title":"Optimal generalized sampled-data hold functions with a constrained structure","year":2006,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Ripple; Control theory (sociology); Mathematical optimization; Basis (linear algebra); Set (abstract data type); Semidefinite programming; Computer science; Function (biology); Basis function; Mathematics; Optimal control; Control (management); Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009077589,0.0008707938,0.0007496446,0.0002114152,0.0001811766,0.0006182524,0.0004599585,0.000577098,0.001220572],"category_scores_gemma":[0.001707926,0.000243971,0.0004143687,0.0003161836,0.0006606798,0.0006824102,0.0005888065,0.0005290273,0.0001290043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004105197,"about_ca_system_score_gemma":0.000625864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001683474,"about_ca_topic_score_gemma":0.001569588,"domain_scores_codex":[0.9995727,0.0001607813,0.00002493663,0.00007835326,0.0001218638,0.0000414044],"domain_scores_gemma":[0.9993923,0.0003095994,0.00009871348,0.00006399635,0.0001102026,0.00002509927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000317773,0.00007718195,0.000435376,0.0002725979,0.00007731685,0.0001108493,0.0001218812,0.8881888,0.0230545,0.02751993,0.0006990852,0.0591248],"study_design_scores_gemma":[0.00002442638,0.0001206294,0.0001305386,0.000006342688,0.000009363941,0.000008305935,0.000009779701,0.994145,0.002581446,0.00262987,0.0003273498,0.000006907705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0402957,0.0001623047,0.9581981,0.0001126602,0.00002455318,0.00002917159,0.00004438234,0.0001464489,0.0009866713],"genre_scores_gemma":[0.936775,0.0001571553,0.06132314,0.00008331927,0.00002385806,0.0001084055,0.0001070128,0.00003789608,0.001384316],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001683474,"threshold_uncertainty_score":0.004800797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01204967818210542,"score_gpt":0.1944375461386992,"score_spread":0.1823878679565937,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}