{"id":"W3125192641","doi":"10.1115/dscc2020-3210","title":"An Online Transfer Learning Approach for Identification and Predictive Control Design With Application to RCCI Engines","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Model predictive control; Transfer of learning; Ignition system; Controller (irrigation); Online model; Fidelity; Control engineering; Control theory (sociology); Artificial intelligence; 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":[0.001012073,0.0007267527,0.0006047803,0.0003650276,0.0003956404,0.0004985252,0.001110724,0.0008201743,0.002029363],"category_scores_gemma":[0.002064381,0.0003276005,0.0004804261,0.0003200727,0.0006127587,0.0006521182,0.0007955563,0.001179959,0.0003630702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006219984,"about_ca_system_score_gemma":0.000800838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006747067,"about_ca_topic_score_gemma":0.003179021,"domain_scores_codex":[0.9996362,0.0001099407,0.00002071297,0.00007443797,0.0001242267,0.00003455368],"domain_scores_gemma":[0.9993074,0.0003110448,0.00008303562,0.00008346371,0.0001988567,0.00001626186],"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":[0.00004030764,0.00006041368,0.0001786623,0.00005566392,0.00001977167,0.00004945321,0.00004759004,0.9335824,0.003260327,0.002964442,0.0002316717,0.05950923],"study_design_scores_gemma":[0.000001994571,0.0000185623,0.00002796842,0.000001339996,0.000001316605,0.000003646099,0.000001826444,0.9987426,0.0006126832,0.0004436928,0.0001424449,0.000001858946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01274851,0.0001132168,0.9848577,0.00006529531,0.00001793482,0.00004622577,0.00001193334,0.0004178822,0.001721218],"genre_scores_gemma":[0.8781418,0.0001374518,0.1180365,0.00006027642,0.00003405371,0.0002051812,0.00005476101,0.00006029918,0.003269632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006747067,"threshold_uncertainty_score":0.01341558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01201462975466883,"score_gpt":0.2071340898564693,"score_spread":0.1951194601018005,"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."}}