{"id":"W4392429512","doi":"10.18280/jesa.570112","title":"Active Disturbance Rejection Control Based Sensorless Model Predictive Control for PMSM","year":2024,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Disturbance (geology); Model predictive control; Control (management); Active disturbance rejection control; Computer science; Control engineering; Engineering; Biology; Physics; Artificial intelligence; Nonlinear system","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":[0.000603469,0.0003576924,0.0005838446,0.0002986413,0.0003508761,0.0002679933,0.0002514465,0.0003579011,0.00001498988],"category_scores_gemma":[0.0002075793,0.0003104424,0.0003073516,0.0002874441,0.0001064708,0.0004494309,0.000009493948,0.0007927161,0.00003278605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006156761,"about_ca_system_score_gemma":0.0001458486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006152275,"about_ca_topic_score_gemma":0.000005754043,"domain_scores_codex":[0.9980205,0.0001844213,0.0006642598,0.0003016339,0.0002917712,0.0005374194],"domain_scores_gemma":[0.9988258,0.0004223265,0.0001597352,0.0002344382,0.0002221387,0.0001355089],"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":[0.00056772,0.00004829494,0.0001100654,0.0005573516,0.001293182,0.0001459336,0.0003745543,0.8609139,0.008050282,0.003509237,0.006948166,0.1174814],"study_design_scores_gemma":[0.002901674,0.0002259506,0.002008732,0.0006150311,0.0002613666,0.0002811641,0.00008873925,0.9880199,0.0007051959,0.003361786,0.001224069,0.0003063761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02229617,0.002496449,0.9670802,0.0003327229,0.002488493,0.001160596,0.0004239825,0.002091631,0.001629803],"genre_scores_gemma":[0.9975637,0.00003365302,0.0006151635,0.00006172382,0.0008806984,0.0002394536,0.000006144311,0.000110028,0.0004894367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9752675,"threshold_uncertainty_score":0.9999348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364211081320378,"score_gpt":0.2309799148247844,"score_spread":0.2173378040115806,"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."}}