{"id":"W4388536477","doi":"10.18280/jesa.560519","title":"Performance and Robustness Enhancement of Fractional Order Controller (FOC) for Electric Vehicles (EV) Using Intelligent Swarms","year":2023,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robustness (evolution); Control theory (sociology); Computer science; Control engineering; Automotive engineering; Engineering; Artificial intelligence; Chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.000589687,0.0002561299,0.0005035627,0.0003567361,0.0002306602,0.00008286164,0.0001644719,0.00008190225,0.00002043045],"category_scores_gemma":[0.0001413632,0.0002286977,0.00009261821,0.0006520518,0.00004616539,0.0003730312,0.00002323867,0.000216813,0.00001348298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003382267,"about_ca_system_score_gemma":0.00008706284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003577913,"about_ca_topic_score_gemma":0.000001188983,"domain_scores_codex":[0.9981086,0.00008313599,0.0007978407,0.0001864707,0.0003628323,0.0004610702],"domain_scores_gemma":[0.9988372,0.0002871564,0.0003000206,0.000133167,0.0003225926,0.0001198948],"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":[0.00008359469,0.000027094,0.0008147569,0.0006605658,0.000324113,0.00001176327,0.0002649092,0.7662821,0.1095726,0.0001160903,0.0002972137,0.1215451],"study_design_scores_gemma":[0.001023932,0.0001604684,0.01319845,0.0002986429,0.00006546671,0.0002553075,0.0000669893,0.9770225,0.006904228,0.0005415618,0.0002266821,0.0002357766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5464529,0.001192648,0.4514514,0.00001559608,0.0003061332,0.0003499837,0.000005029019,0.0001592192,0.00006705644],"genre_scores_gemma":[0.9913915,0.000595936,0.007421692,0.000009654021,0.0002359366,0.00005219194,0.000002427259,0.00007848473,0.0002121626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4449386,"threshold_uncertainty_score":0.932602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02447504702563756,"score_gpt":0.2564464594441581,"score_spread":0.2319714124185205,"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."}}