{"id":"W2142701970","doi":"10.1109/acc.1995.533796","title":"A new framework for iterative identification and control","year":2005,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alpha Technologies (Canada)","funders":"","keywords":"Computer science; Iterative and incremental development; Process (computing); Identification (biology); Set (abstract data type); Iterative method; Controller (irrigation); Iterative learning control; Robust control; Iterative refinement; Rank (graph theory); Control theory (sociology); Control (management); Scheme (mathematics); System identification; Mathematical optimization; Algorithm; Control system; Data mining; Mathematics; Artificial intelligence; Engineering; Measure (data warehouse)","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":[0.002734648,0.00129152,0.001079477,0.0008816973,0.001036509,0.002569757,0.002558263,0.001663586,0.004593593],"category_scores_gemma":[0.003607819,0.0006806251,0.001565289,0.0007625715,0.003555361,0.003381859,0.002940493,0.003066042,0.001257191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001449735,"about_ca_system_score_gemma":0.002112608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00251184,"about_ca_topic_score_gemma":0.001802379,"domain_scores_codex":[0.9974529,0.00087395,0.0001419452,0.0004838171,0.0009086723,0.0001386864],"domain_scores_gemma":[0.9987876,0.000500709,0.0001036542,0.0003058814,0.0002428099,0.00005939618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001257309,0.00001359766,0.00007435848,0.00008500748,0.00001916549,0.00005402219,0.0001799212,0.05327941,0.001220208,0.9178941,0.001042157,0.02612549],"study_design_scores_gemma":[0.00002299979,0.00009020942,0.00006029466,0.00008147923,0.00002332094,0.000141971,0.00006094399,0.3443216,0.001579224,0.5980617,0.055518,0.00003831487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002685297,0.0002283376,0.9955719,0.0001475882,0.00003929967,0.00002113802,0.00001201546,0.00009122505,0.003620012],"genre_scores_gemma":[0.08479606,0.001329276,0.901769,0.0003315564,0.0002759584,0.0005295751,0.0001151744,0.0001649974,0.01068838],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004593593,"threshold_uncertainty_score":0.01536703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006581203833184817,"score_gpt":0.2259444332052712,"score_spread":0.2193632293720864,"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."}}