{"id":"W2108330068","doi":"10.1109/aim.2010.5695935","title":"Adaptive iterative learning control for robot manipulators without using velocity signals","year":2010,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Iterative learning control; Control theory (sociology); Adaptive control; Controller (irrigation); Computer science; Convergence (economics); Observer (physics); Lyapunov function; Robot; Tracking (education); Tracking error; Iterative method; Monotonic function; Scheme (mathematics); Control engineering; Artificial intelligence; Mathematics; Control (management); Algorithm; Engineering; Nonlinear system","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":[0.0004787822,0.0004473952,0.0002688889,0.0001911827,0.0002908649,0.0003870108,0.0007266326,0.0003861488,0.0007383592],"category_scores_gemma":[0.001253444,0.0001422302,0.0002287611,0.0002057923,0.0006004114,0.0004274273,0.0004837488,0.0005253784,0.0001707687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003396988,"about_ca_system_score_gemma":0.0005218093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002188915,"about_ca_topic_score_gemma":0.001700542,"domain_scores_codex":[0.9997481,0.00004944035,0.00001562417,0.00004772121,0.0001084355,0.00003072161],"domain_scores_gemma":[0.999632,0.0001280858,0.00008622436,0.00003585674,0.0001036055,0.00001422487],"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":[0.0001770656,0.00009044376,0.000967779,0.0002466619,0.00004637018,0.0002171952,0.0004229555,0.6351225,0.03720611,0.03134933,0.0009422475,0.2932113],"study_design_scores_gemma":[0.00002038878,0.0001664036,0.0001985654,0.000009370502,0.000006076737,0.00003641553,0.000009673238,0.9902356,0.004066403,0.003956753,0.001285088,0.000009259063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02168926,0.0002611569,0.9752136,0.00006414725,0.00003080723,0.00002353023,0.000004456711,0.0002446314,0.002468406],"genre_scores_gemma":[0.9118472,0.0002127304,0.08446795,0.00006165713,0.00003475541,0.00009850245,0.00002848766,0.00002324164,0.003225468],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002188915,"threshold_uncertainty_score":0.004352331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01982710095754138,"score_gpt":0.2515541767156971,"score_spread":0.2317270757581558,"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."}}