{"id":"W2054468171","doi":"10.3182/20130703-3-fr-4038.00059","title":"IDA-PBC under sampling for torque control of PMSM","year":2013,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Control and Stability of Dynamical Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Passivity; Control theory (sociology); Controller (irrigation); Context (archaeology); Torque; Control engineering; Sampling (signal processing); Computer science; Stability (learning theory); Control (management); Nonlinear system; Engineering; Artificial intelligence","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":[0.0004780468,0.0004162297,0.000617906,0.000347825,0.0007689678,0.0008245324,0.0004600133,0.0002959873,0.002433829],"category_scores_gemma":[0.0008454259,0.0001527922,0.000251068,0.0004151321,0.0003469113,0.0003117372,0.0003097243,0.0005363099,0.0003648011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003932178,"about_ca_system_score_gemma":0.0008329934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003749681,"about_ca_topic_score_gemma":0.004783428,"domain_scores_codex":[0.9997361,0.00006101677,0.00001941125,0.00004505106,0.0001058543,0.00003248138],"domain_scores_gemma":[0.9997233,0.0000723389,0.00002016737,0.00003399427,0.0001366209,0.00001363713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00234022,0.0003867074,0.001973142,0.001354749,0.0001299693,0.000405543,0.0005673139,0.2283001,0.07666604,0.03832311,0.008376484,0.6411767],"study_design_scores_gemma":[0.00005415971,0.0003001186,0.001138852,0.00003876557,0.00002702208,0.0001104255,0.00002902787,0.983001,0.01036399,0.001831649,0.003092281,0.00001281695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08840009,0.002407787,0.8850269,0.0003943858,0.0007444911,0.0002263433,0.0001302858,0.0009185061,0.02175122],"genre_scores_gemma":[0.9740933,0.0002431169,0.02346128,0.00006378385,0.00006445759,0.00008025022,0.00004526171,0.00002305082,0.001925567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003749681,"threshold_uncertainty_score":0.008141994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009250917502878408,"score_gpt":0.2050595301176288,"score_spread":0.1958086126147504,"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."}}