{"id":"W2109267285","doi":"10.1109/icara.2000.4803966","title":"Stable neural control of a flexible-joint manipulator subjected to sinusoidal disturbance","year":2009,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Control theory (sociology); Dead zone; Backpropagation; Computer science; Robot; Adaptive control; Artificial neural network; Bursting; Stability (learning theory); Joint (building); Set (abstract data type); Control (management); Control engineering; Artificial intelligence; Engineering","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":[0.00009302559,0.0002022822,0.0004122814,0.00009775867,0.00002272125,0.00002324906,0.0001550302,0.00006190848,0.00008188157],"category_scores_gemma":[0.00003662602,0.0001833716,0.00009062135,0.0002272385,0.00001419129,0.0001232937,0.00001195841,0.0001080471,0.00006585364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007929905,"about_ca_system_score_gemma":0.00001416542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004853177,"about_ca_topic_score_gemma":0.00002179133,"domain_scores_codex":[0.9988273,0.0000234963,0.0003975481,0.0001914282,0.0002081102,0.0003521249],"domain_scores_gemma":[0.9993654,0.00003653696,0.00004448847,0.0002976103,0.0001076076,0.0001483682],"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":[0.0007058574,0.0003353101,0.005972598,0.0001899023,0.0004298635,0.0001173061,0.0009989971,0.249491,0.7045243,0.01126206,0.01366966,0.01230311],"study_design_scores_gemma":[0.005372643,0.001077428,0.2708989,0.000175785,0.00007742526,0.00004270892,0.0002712344,0.6665244,0.04678681,0.0001128882,0.007447414,0.001212335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7071188,0.0008114722,0.279533,0.0003256824,0.0004791059,0.0008918969,0.00005208929,0.0008670026,0.009920903],"genre_scores_gemma":[0.9969215,6.435548e-7,0.001185284,0.000198323,0.000179585,0.00001452051,0.000003480235,0.00002987358,0.001466752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6577375,"threshold_uncertainty_score":0.7477678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015625888299415,"score_gpt":0.2165027406408328,"score_spread":0.2008768523414178,"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."}}