{"id":"W3199267788","doi":"10.18280/ejee.230408","title":"Integral Backstepping Control of Induction Machine","year":2021,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Backstepping; Control theory (sociology); Robustness (evolution); Stator; Lyapunov stability; Control engineering; Nonlinear system; Rotor (electric); Induction motor; Lyapunov function; Integral sliding mode; Robust control; Computer science; Engineering; Control system; Sliding mode control; Voltage; Adaptive control; Control (management); Physics; Artificial intelligence","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":[0.0005097532,0.0002019031,0.0004624239,0.0003553456,0.0000187087,0.00002569488,0.0002104117,0.00004203895,0.00003538883],"category_scores_gemma":[0.0005888253,0.0001949201,0.0002171118,0.0006785245,0.00001249042,0.0001560626,0.00001362877,0.0007084364,0.00000689453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001133284,"about_ca_system_score_gemma":0.00003825346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.60879e-7,"about_ca_topic_score_gemma":1.993857e-7,"domain_scores_codex":[0.9983534,0.0001249232,0.0007975944,0.0001130853,0.0002879839,0.0003230008],"domain_scores_gemma":[0.9990942,0.0001862806,0.000165402,0.0001579156,0.0002415141,0.0001546895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005522292,0.00005370103,0.0001975625,0.00006838796,0.0004202749,0.0006427561,0.00008029356,0.3592275,0.5832363,0.0004926194,0.0003029445,0.05522238],"study_design_scores_gemma":[0.00492336,0.0007043065,0.008883343,0.000364564,0.0002420301,0.002087555,0.00002820406,0.8482465,0.1241825,0.00002912629,0.009633069,0.0006754671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3156958,0.01068277,0.669472,0.0001197235,0.001182711,0.0001035724,0.00000354093,0.000165395,0.002574399],"genre_scores_gemma":[0.9959934,0.0001455034,0.003321138,0.00002615298,0.0004132034,4.421527e-7,0.000001191632,0.00007128929,0.00002765771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6802976,"threshold_uncertainty_score":0.794861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005456047952262401,"score_gpt":0.170452096800183,"score_spread":0.1649960488479206,"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."}}