{"id":"W2053378115","doi":"10.1111/j.1934-6093.2001.tb00053.x","title":"Adaptive Neural Network Control For Smart Materials Robots Using Singular Perturbation Technique","year":2001,"lang":"en","type":"article","venue":"Asian Journal of Control","topic":"Dynamics and Control of Mechanical Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Control theory (sociology); Artificial neural network; Initialization; Singular perturbation; Computer science; Robot; Control engineering; Perturbation (astronomy); Controller (irrigation); Engineering; Mathematics; Artificial intelligence; Control (management)","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":[0.0008785056,0.0002202717,0.0006613579,0.00009055741,0.00008495773,0.00009901064,0.0002051716,0.0001497044,0.00002011816],"category_scores_gemma":[0.00007050997,0.0001917718,0.000246961,0.00009754077,0.0000164247,0.000235145,0.000005662529,0.0001773479,0.00000168027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000135355,"about_ca_system_score_gemma":0.00003784643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004004188,"about_ca_topic_score_gemma":0.000003644649,"domain_scores_codex":[0.9983538,0.0001227312,0.000783788,0.000117471,0.0002213343,0.0004008334],"domain_scores_gemma":[0.9989915,0.0001184814,0.0003554838,0.0001391711,0.0002461699,0.0001491642],"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":[0.001539609,0.00005241706,0.0002030794,0.00004563012,0.000762899,0.0001257492,0.0000699975,0.7980896,0.1773784,0.004952703,0.0002887995,0.01649105],"study_design_scores_gemma":[0.006150589,0.0006161256,0.0002526982,0.0002233356,0.0002920017,0.0005040096,0.00004358964,0.9838548,0.0003863684,0.006215924,0.001143132,0.000317476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01339607,0.0006377733,0.9829838,0.0005118227,0.001362217,0.0008217692,0.00001544483,0.00005134077,0.0002197303],"genre_scores_gemma":[0.994337,0.000008548265,0.003962612,0.0001573012,0.001419426,0.0000354794,0.000001727764,0.00005282198,0.00002505957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9809409,"threshold_uncertainty_score":0.7820226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009591950362606122,"score_gpt":0.2100338854946722,"score_spread":0.2004419351320661,"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."}}