{"id":"W4385431976","doi":"10.18280/jesa.560315","title":"Comparative Performance Evaluation of Swarm Intelligence-Based FOPID Controllers for PMSM Speed Control","year":2023,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electronic speed control; Control theory (sociology); Computer science; Swarm intelligence; Control engineering; Swarm behaviour; Control (management); Particle swarm optimization; Artificial intelligence; Engineering; Machine learning","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":[0.005523951,0.0006900699,0.001802291,0.0007364309,0.0004243002,0.0002128466,0.0005899747,0.0002783081,0.0001762113],"category_scores_gemma":[0.0009317102,0.0006890449,0.0006057735,0.001067702,0.0003318716,0.0007788049,0.00003298141,0.0005784707,0.0003772779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593724,"about_ca_system_score_gemma":0.0006791304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003320284,"about_ca_topic_score_gemma":0.00001977419,"domain_scores_codex":[0.9932266,0.001386018,0.002324552,0.000441839,0.001485695,0.001135333],"domain_scores_gemma":[0.9936923,0.001934538,0.00138899,0.000488602,0.002139685,0.0003558462],"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":[0.0002927892,0.00006724715,0.0003145862,0.001074765,0.0008594183,0.00001982584,0.001127343,0.7811809,0.004229697,0.0006545533,0.001696291,0.2084827],"study_design_scores_gemma":[0.007872501,0.0007660831,0.0235827,0.002338841,0.0009164171,0.0001442636,0.0005796634,0.954721,0.004348502,0.00295918,0.001188569,0.0005822181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2649803,0.02125214,0.698652,0.0007115751,0.006335598,0.005010166,0.0002941303,0.0006230479,0.002140991],"genre_scores_gemma":[0.9905627,0.0003846314,0.006814121,0.00004323876,0.000847516,0.0001798586,0.00001943692,0.0001615318,0.0009869625],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7255824,"threshold_uncertainty_score":0.9995561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06742069486205196,"score_gpt":0.3126336537425121,"score_spread":0.2452129588804602,"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."}}