{"id":"W2110167452","doi":"10.1109/robot.1994.351080","title":"Direct adaptive neurocontrol of flexible joint robots using localized polynomial networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Control theory (sociology); Computer science; Bounded function; Polynomial; Adaptive control; Controller (irrigation); Stability (learning theory); Robot; Nonlinear system; Scheme (mathematics); Jerk; Acceleration; Artificial intelligence; Mathematics; Control (management); Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001276594,0.0003289234,0.0001914026,0.0001226934,0.0002137059,0.0002631174,0.0004313315,0.0002851836,0.0008379307],"category_scores_gemma":[0.0003320008,0.0001333691,0.0002310134,0.0001184392,0.000340258,0.0003991937,0.0004569582,0.0004039906,0.0002297626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002219844,"about_ca_system_score_gemma":0.0002501922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00212176,"about_ca_topic_score_gemma":0.003038536,"domain_scores_codex":[0.9999396,0.00001057505,0.000003062179,0.00001397926,0.00002425803,0.000008440654],"domain_scores_gemma":[0.999912,0.00002992889,0.00001540575,0.00001500541,0.0000193976,0.000008270446],"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":[0.0001005457,0.00004857335,0.0004256668,0.0001027165,0.00003571921,0.000223441,0.0001560571,0.6732293,0.05089296,0.02427474,0.001257572,0.2492527],"study_design_scores_gemma":[0.000009524586,0.00007379882,0.00008842837,0.000003151355,0.000005984809,0.00002887918,0.000004854639,0.9929383,0.003232474,0.002349676,0.001259582,0.000005329735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02093596,0.0001602818,0.9764017,0.00006384806,0.00002208102,0.00001499934,0.000009603506,0.0002317193,0.002159733],"genre_scores_gemma":[0.8631546,0.0002591397,0.1301371,0.00006506974,0.00003165294,0.00007621374,0.00003852668,0.0000227534,0.006214908],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00212176,"threshold_uncertainty_score":0.004218817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04482031451194447,"score_gpt":0.2166694891802063,"score_spread":0.1718491746682618,"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."}}