{"id":"W2115136720","doi":"10.2316/journal.201.2012.1.201-2331","title":"ADAPTIVE ROBUST TRACKING CONTROL OF AN UNDERWATER VEHICLE-MANIPULATOR SYSTEM WITH SUB-REGION AND SELF-MOTION CRITERIA","year":2012,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Tracking (education); Computer science; Motion control; Motion (physics); Control engineering; Artificial intelligence; Control (management); Engineering; Robot; Psychology","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":[0.0005537265,0.0007959643,0.0005838319,0.0002818623,0.0003646215,0.0005176594,0.0007899796,0.0004909063,0.0008180029],"category_scores_gemma":[0.0007599674,0.0002376724,0.0003884986,0.0002309123,0.0005586226,0.0004068589,0.000961049,0.0004669166,0.0001883503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003802701,"about_ca_system_score_gemma":0.000503569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00303024,"about_ca_topic_score_gemma":0.001876646,"domain_scores_codex":[0.999679,0.00006251798,0.00001797917,0.0000866304,0.0001131245,0.00004085607],"domain_scores_gemma":[0.9995932,0.000099994,0.0001495729,0.00003024735,0.0001018144,0.00002530333],"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":[0.0002067475,0.00004355079,0.0007239158,0.0001792882,0.00007772451,0.0004320918,0.0002807399,0.8848274,0.04488024,0.01141632,0.0005133952,0.05641861],"study_design_scores_gemma":[0.0000172735,0.0001822283,0.0002820303,0.000004644477,0.000009759314,0.00003321778,0.00001133864,0.9960636,0.002062091,0.0008074707,0.0005180335,0.00000818188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07650506,0.0002181492,0.9201614,0.00007561002,0.00003581699,0.00003409119,0.00001767375,0.0002920356,0.002660165],"genre_scores_gemma":[0.9711754,0.00009946933,0.02629487,0.00001972304,0.00001969203,0.00008775217,0.00002845168,0.00001363157,0.002261028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00303024,"threshold_uncertainty_score":0.006025195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02589213721073918,"score_gpt":0.2159900064403342,"score_spread":0.190097869229595,"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."}}