{"id":"W3040226101","doi":"10.48550/arxiv.2007.01387","title":"An Algebraic Approach for the Stability Analysis of BLDC Motor Controllers","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Control and Stability of Dynamical Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Control theory (sociology); DC motor; Stability (learning theory); Controller (irrigation); PID controller; Algebraic number; Computer science; Constant (computer programming); Electronic speed control; Loop (graph theory); Closed loop; Control engineering; Mathematics; Control (management); Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004158254,0.0003068989,0.0009539202,0.0001525992,0.00008493747,0.00003813583,0.0008445282,0.0002611231,0.00004508601],"category_scores_gemma":[0.00007405583,0.0002698845,0.0009672436,0.000593608,0.000153217,0.00007872955,0.0001464983,0.000371293,0.000001438234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001788066,"about_ca_system_score_gemma":0.00004761755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003319572,"about_ca_topic_score_gemma":0.0003487621,"domain_scores_codex":[0.9984508,0.000113544,0.0003693304,0.0006875082,0.00009866842,0.000280121],"domain_scores_gemma":[0.9980294,0.0004720725,0.0001427087,0.001039542,0.000137287,0.0001789864],"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":[0.0002104922,0.0000856292,0.003174509,0.0003648482,0.003451332,0.000001551133,0.0002478387,0.9877329,0.0005296148,0.003968484,0.00001182384,0.0002209793],"study_design_scores_gemma":[0.000666554,0.00005655603,0.007782711,0.000006303537,0.002543069,6.114511e-8,0.0003981081,0.9867141,0.00001296379,0.001503173,0.00005736066,0.0002590813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.387617,0.0001200236,0.6099395,0.00003943698,0.0001399624,0.001059917,0.0005402507,0.0001727455,0.0003711807],"genre_scores_gemma":[0.9994261,0.00002540381,0.0002805062,0.00001395294,0.00006189748,0.00001148279,0.0001297209,0.0000248294,0.00002613834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6118091,"threshold_uncertainty_score":0.9999753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06009746259256683,"score_gpt":0.1730197710993356,"score_spread":0.1129223085067688,"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."}}