{"id":"W4392378051","doi":"10.18280/jesa.570107","title":"Sensorless ANFIS-Based Control of PV-Powered Double Stator Induction Motors for EVs","year":2024,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stator; Adaptive neuro fuzzy inference system; Induction motor; Automotive engineering; Control (management); Control engineering; Computer science; Engineering; Control theory (sociology); Electrical engineering; Fuzzy control system; Artificial intelligence; Fuzzy logic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001374974,0.0007907042,0.001342449,0.001110182,0.0002920705,0.000689248,0.0004731801,0.0004668752,0.0004033925],"category_scores_gemma":[0.0003770684,0.0007925181,0.0008469105,0.001051688,0.0002173774,0.0008782647,0.00002109424,0.001021296,0.0001160914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492245,"about_ca_system_score_gemma":0.0006799058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001699299,"about_ca_topic_score_gemma":0.00002264215,"domain_scores_codex":[0.994849,0.0004408044,0.002018037,0.0005557275,0.0008842017,0.001252271],"domain_scores_gemma":[0.9964535,0.001149924,0.0006519536,0.0005019066,0.0007222715,0.0005203986],"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":[0.001205441,0.0004055372,0.0007808749,0.0129219,0.004378156,0.000960876,0.001917857,0.2403489,0.1052137,0.01219,0.01595512,0.6037216],"study_design_scores_gemma":[0.007872348,0.001095804,0.01306424,0.003985617,0.001213736,0.001247046,0.0001955636,0.9278198,0.01372753,0.001823139,0.02694983,0.001005374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5026357,0.09313919,0.3777746,0.002082769,0.01852111,0.002829071,0.0006638457,0.001195892,0.001157843],"genre_scores_gemma":[0.9846095,0.0006041306,0.009552946,0.00006038647,0.001964174,0.00007781488,0.00001496728,0.0003759375,0.002740178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6874709,"threshold_uncertainty_score":0.9994526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01913633000992059,"score_gpt":0.2581686433311939,"score_spread":0.2390323133212733,"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."}}