{"id":"W2071916735","doi":"10.1121/1.2935756","title":"Extremal harmonic active control of power","year":2008,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Control theory (sociology); Rotor (electric); Controller (irrigation); Context (archaeology); AC power; Torque; Gradient descent; Power (physics); Harmonic; Optimal control; Computation; Computer science; Harmonics; Mathematics; Physics; Control (management); Voltage; Mathematical optimization; Algorithm; Artificial neural network; Acoustics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003594539,0.0001309108,0.0004518421,0.00001610141,0.00009612012,0.000004546151,0.0004470443,0.00006057036,0.0000563232],"category_scores_gemma":[0.0001777004,0.00006955284,0.000466887,0.0001730886,0.0005335404,0.00007599453,0.00003868149,0.0005410631,0.000003997427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007344684,"about_ca_system_score_gemma":0.00005159989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000116676,"about_ca_topic_score_gemma":7.04529e-8,"domain_scores_codex":[0.9986573,0.0001963782,0.0004689539,0.00005064282,0.0004236573,0.0002030394],"domain_scores_gemma":[0.9984246,0.0006765597,0.0004062206,0.0002209719,0.0002176308,0.00005402314],"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":[0.0005779815,0.000184657,0.001021255,0.0001046878,0.002090052,0.000005544498,0.01203825,0.3436185,0.6036792,0.00001243522,0.0315024,0.005164985],"study_design_scores_gemma":[0.003704143,0.0009990849,0.03348382,0.0003155061,0.0007094294,0.0004497561,0.004085389,0.9367084,0.01364766,0.0001778978,0.005347457,0.0003714806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.271949,0.001401557,0.7234938,0.001773328,0.0004813484,0.0002454759,0.00001820915,0.00002763644,0.0006096457],"genre_scores_gemma":[0.9973201,0.0001195245,0.002114727,0.0002277236,0.0001279792,8.544626e-7,7.503665e-8,0.00001998912,0.00006908241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.725371,"threshold_uncertainty_score":0.2836283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008337494143417754,"score_gpt":0.211128536100674,"score_spread":0.2027910419572563,"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."}}