{"id":"W2161413567","doi":"10.1109/isic.2002.1157769","title":"Neural network adaptive control of a deployable manipulator","year":2003,"lang":"en","type":"article","venue":"","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Artificial neural network; Revolute joint; Adaptive control; Lyapunov function; Controller (irrigation); Computer science; Lyapunov stability; Control engineering; Stability (learning theory); Robot; Nonlinear system; Control (management); Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001021452,0.0001075468,0.0002163996,0.00002239918,0.00001822229,0.000009144259,0.0000541245,0.00004928563,0.0001525862],"category_scores_gemma":[0.000006717554,0.00009185285,0.0000670006,0.0001018829,0.00001017757,0.00005163416,0.000002715249,0.0000608255,0.00003049634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001787197,"about_ca_system_score_gemma":0.000007769628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005305807,"about_ca_topic_score_gemma":0.00004241252,"domain_scores_codex":[0.9993691,0.00002696322,0.0001888094,0.00008785682,0.00008603022,0.0002411678],"domain_scores_gemma":[0.9997022,0.00003902138,0.00002263582,0.0001509793,0.00002919002,0.00005596465],"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":[0.00003822888,0.00002465066,0.0154836,0.00005777985,0.0003107598,0.0000119744,0.0001007887,0.8814434,0.004247259,0.08973004,0.005462265,0.003089238],"study_design_scores_gemma":[0.003303241,0.0001869747,0.003672505,0.00004853493,0.00008409614,0.00002611228,0.0003537835,0.9167312,0.003431313,0.0007284476,0.07087664,0.0005571175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1652467,0.01602364,0.4349225,0.00005389243,0.002515265,0.001512313,0.00001298153,0.001260441,0.3784522],"genre_scores_gemma":[0.9982768,0.000009474432,0.0006445993,0.00004519005,0.00007702062,0.00001605059,2.599202e-7,0.00002552747,0.0009050919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.83303,"threshold_uncertainty_score":0.374565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008322905242408658,"score_gpt":0.1752912147377503,"score_spread":0.1669683094953416,"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."}}