{"id":"W4411039862","doi":"10.18280/jesa.580412","title":"Function Approximation Technique-Based Adaptive Feedback Linearization Control for Compliant-Base Manipulators","year":2025,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Feedback linearization; Linearization; Base (topology); Computer science; Feedback control; Adaptive control; Control engineering; Function (biology); Control (management); Mathematics; Engineering; Nonlinear system; Artificial intelligence; Physics; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002345219,0.0002988914,0.0002564721,0.0001715001,0.0001907073,0.0002155764,0.000377191,0.0002125815,0.0004054437],"category_scores_gemma":[0.0002764092,0.0001033651,0.0002247601,0.0001507793,0.0002656215,0.0001813033,0.0002272101,0.0002512345,0.0001246414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001664341,"about_ca_system_score_gemma":0.0002140095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001804296,"about_ca_topic_score_gemma":0.001206094,"domain_scores_codex":[0.9999062,0.00002099398,0.000004745885,0.00001653153,0.00003971336,0.00001187635],"domain_scores_gemma":[0.9998926,0.00003176177,0.00003449372,0.000008475531,0.00002813325,0.000004543721],"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":[0.0002151736,0.0001075487,0.0009233822,0.0002698042,0.00006918072,0.0002430071,0.0003842349,0.5603891,0.2203134,0.006324767,0.0006720453,0.2100884],"study_design_scores_gemma":[0.00002028808,0.0004543892,0.0007265686,0.00001215699,0.00001213838,0.00007912076,0.0000159133,0.985015,0.01188477,0.0006199316,0.001146059,0.00001370811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.075133,0.0003976509,0.921996,0.00004052545,0.00002670815,0.00002808546,0.000007345231,0.0004080637,0.001962577],"genre_scores_gemma":[0.9669671,0.0001603721,0.03151435,0.00002025626,0.00001349192,0.00003982877,0.00001320379,0.00001159601,0.001259762],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001804296,"threshold_uncertainty_score":0.003587604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01618121340315152,"score_gpt":0.23620304110222,"score_spread":0.2200218276990684,"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."}}