{"id":"W4407952093","doi":"10.1109/cdc56724.2024.10886093","title":"Nonlinear Control Allocation: A Learning Based Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Control (management); Nonlinear system; Artificial intelligence; Mathematical optimization; Mathematics; Physics","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":[0.00009611997,0.00009539563,0.0001031761,0.00007010451,0.00002795666,0.00006278887,0.00005199913,0.00004912862,0.0000533139],"category_scores_gemma":[0.00001938196,0.00008873223,0.0000369202,0.0001790042,0.000007086763,0.0001426886,0.000002909046,0.0001283066,0.00009963199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005238907,"about_ca_system_score_gemma":0.00001494407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002686667,"about_ca_topic_score_gemma":9.335611e-7,"domain_scores_codex":[0.9994822,0.0000182603,0.0001429699,0.000132332,0.0000937762,0.0001304816],"domain_scores_gemma":[0.9997717,0.0000560401,0.000007315809,0.0001008053,0.00002797266,0.00003622817],"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":[0.000002030178,0.000004024695,0.00001556646,0.00007651685,0.00002339761,0.000001648238,0.00002673608,0.9957463,0.0008860625,0.0007184073,0.0001331803,0.002366195],"study_design_scores_gemma":[0.0002946732,0.00001026387,0.000005078324,0.00001928942,0.00001132645,0.000002891521,0.00002246886,0.9816251,0.0001685304,0.00001186831,0.01772662,0.0001018383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001033735,0.0007036343,0.9740071,0.00008410665,0.0001890354,0.0001831676,0.000001591582,0.001805448,0.02292256],"genre_scores_gemma":[0.9640632,0.000005200086,0.03462568,0.0000425658,0.000181393,0.00006763712,0.0000262312,0.00004191819,0.0009461484],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9639599,"threshold_uncertainty_score":0.3618396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004957691386488002,"score_gpt":0.1969372379420339,"score_spread":0.1919795465555459,"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."}}