{"id":"W2034769836","doi":"10.2316/journal.201.2008.2.201-1753","title":"NEURAL GENERALIZED PREDICTIVE CONTROL WITH REFERENCE CONTROL MODEL FOR AN INDUCTION MOTOR DRIVE","year":2008,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Artificial neural network; Model predictive control; Control theory (sociology); Computer science; Process (computing); Induction motor; Control engineering; Nonlinear system; Control (management); Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0004018157,0.0006247191,0.0006067265,0.0002205073,0.0002304243,0.0006169598,0.0009044752,0.0008097937,0.002016052],"category_scores_gemma":[0.0007614484,0.0001793056,0.0003592743,0.0004017349,0.000392184,0.0005500729,0.000280478,0.0008506419,0.0004431386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003815923,"about_ca_system_score_gemma":0.0004313744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006128816,"about_ca_topic_score_gemma":0.005511176,"domain_scores_codex":[0.9998105,0.00004928479,0.000008309418,0.00003474934,0.00008370195,0.00001347388],"domain_scores_gemma":[0.9998598,0.00005625096,0.00002116992,0.0000129463,0.00004600922,0.000003759734],"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":[0.00004866686,0.00002462991,0.0001198745,0.0001478828,0.00002564605,0.0001005457,0.00005660879,0.9283608,0.002810244,0.01646618,0.001124384,0.05071462],"study_design_scores_gemma":[0.000004496253,0.00002215701,0.00005247844,0.000003787492,0.000004641953,0.00001011492,0.000001746236,0.997498,0.0002757212,0.001030501,0.001093454,0.000002859497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008269037,0.0008943762,0.9847406,0.0001715687,0.0001557324,0.00004195716,0.00004409411,0.0003971904,0.005285515],"genre_scores_gemma":[0.8072972,0.001682394,0.1724849,0.0001474187,0.000176941,0.0003424718,0.0002885016,0.00008372519,0.01749632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006128816,"threshold_uncertainty_score":0.01218629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02604657200733223,"score_gpt":0.2247713862852543,"score_spread":0.198724814277922,"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."}}