{"id":"W2029001775","doi":"10.1002/acs.1158","title":"Iterative adaptive robust control of multivariable CD processes","year":2009,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Multivariable calculus; Control theory (sociology); Discretization; Transfer function; Adaptive control; Robust control; Computer science; Bandwidth (computing); Controller (irrigation); Iterative learning control; Spatial frequency; Control system; Control engineering; Mathematics; Engineering; Control (management); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006759913,0.0004523894,0.0003979768,0.0003177753,0.0002617824,0.0006120326,0.0006523153,0.0004090717,0.001109103],"category_scores_gemma":[0.001603989,0.0001770678,0.0003779194,0.0002675828,0.0005998788,0.0002459149,0.0008509147,0.0005455953,0.0001283281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004243088,"about_ca_system_score_gemma":0.0004534731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004654774,"about_ca_topic_score_gemma":0.001858307,"domain_scores_codex":[0.999575,0.0001336461,0.00001696061,0.00009740554,0.0001315921,0.00004547108],"domain_scores_gemma":[0.9993765,0.0003093263,0.0001217793,0.00003692297,0.0001396329,0.00001590508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006988474,0.00002736355,0.000350783,0.00006330726,0.00003806187,0.00009372693,0.00008801321,0.9290253,0.01431974,0.01222313,0.0002827354,0.04341802],"study_design_scores_gemma":[0.000005740512,0.00003214439,0.00009077787,0.000001724976,0.00000257328,0.000007115163,0.000004116413,0.9976887,0.0008806926,0.0009440678,0.0003393384,0.00000303863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04230941,0.0001571718,0.9542376,0.00009152426,0.00002572909,0.00002036909,0.00001108742,0.0002010488,0.002946174],"genre_scores_gemma":[0.9660296,0.00007984224,0.03211144,0.00003524251,0.0000175602,0.00004479944,0.00001953972,0.00001504171,0.001646971],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004654774,"threshold_uncertainty_score":0.00925535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01185342815712916,"score_gpt":0.2270849528452016,"score_spread":0.2152315246880724,"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."}}