{"id":"W2788138129","doi":"10.1016/j.jprocont.2017.11.007","title":"A new robust controller for non-linear periodic single-input/single-output systems using genetic algorithms","year":2018,"lang":"en","type":"article","venue":"Journal of Process Control","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Crossover; Process (computing); Controller (irrigation); Computer science; Control theory (sociology); Genetic algorithm; Control engineering; Algorithm; Engineering; Control (management); Artificial intelligence; Machine learning","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":[0.0005115194,0.000787296,0.0008866193,0.0005396571,0.0004169833,0.0008089172,0.001185306,0.001102583,0.001458061],"category_scores_gemma":[0.0008903866,0.0003307056,0.0006136462,0.0003154378,0.0005055291,0.0004735866,0.0005367039,0.0006597847,0.0003208946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000415455,"about_ca_system_score_gemma":0.0006215658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003265987,"about_ca_topic_score_gemma":0.003142185,"domain_scores_codex":[0.9997693,0.00003200593,0.00001269825,0.00007103603,0.0000918696,0.00002300469],"domain_scores_gemma":[0.999725,0.000101037,0.00004766517,0.00002501938,0.00008908118,0.00001222239],"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":[0.000103352,0.00008825039,0.0002609151,0.0001595508,0.000141397,0.0001907545,0.00009938642,0.8052321,0.02949398,0.0103999,0.001077754,0.1527526],"study_design_scores_gemma":[0.00001938775,0.00004399839,0.00008058663,0.000005259044,0.00001513582,0.00002331579,0.000002463353,0.9971595,0.001519533,0.0006353696,0.0004882413,0.000007368691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01008462,0.000194048,0.9871001,0.00005124925,0.0000744612,0.00003999461,0.00001047111,0.0004998252,0.001945235],"genre_scores_gemma":[0.6032898,0.0002852663,0.3914525,0.0001367451,0.00007710198,0.0002939219,0.00008099406,0.0001092729,0.004274295],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003265987,"threshold_uncertainty_score":0.006493926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02729330833817343,"score_gpt":0.2568019261333928,"score_spread":0.2295086177952194,"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."}}