{"id":"W2942459624","doi":"10.1016/j.neucom.2018.10.091","title":"Neural-network-based tracking Control for a Class of time-delay nonlinear systems with unmodeled dynamics","year":2019,"lang":"en","type":"article","venue":"Neurocomputing","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Backstepping; Control theory (sociology); Nonlinear system; Computer science; Artificial neural network; Tracking error; Controller (irrigation); Tracking (education); Class (philosophy); Lyapunov function; Control (management); Mathematics; Adaptive control; Artificial intelligence","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":[0.0003804124,0.0005902934,0.0004228246,0.0002722236,0.0003373773,0.0006740183,0.0006012804,0.0007898121,0.000971509],"category_scores_gemma":[0.0009049467,0.0001493511,0.000241779,0.0004135349,0.0004226654,0.0005425631,0.0003812276,0.0004842103,0.000145247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005824213,"about_ca_system_score_gemma":0.0005025508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007090068,"about_ca_topic_score_gemma":0.006873243,"domain_scores_codex":[0.9998738,0.00001804011,0.000006804686,0.00004029424,0.00004140171,0.00001972284],"domain_scores_gemma":[0.9998066,0.00007318123,0.00003863304,0.00001067939,0.0000607268,0.00001022721],"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":[0.0001571192,0.00007410291,0.0005541306,0.0001428409,0.0000483535,0.0001211659,0.00005321204,0.9198832,0.009943828,0.01427926,0.001147618,0.0535953],"study_design_scores_gemma":[0.00000387971,0.00001320201,0.0001201195,0.000002373416,0.00000321117,0.000007808366,0.000001250461,0.9987698,0.0003366052,0.0005834234,0.00015636,0.000001911775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1291258,0.002406155,0.8536901,0.0004263924,0.0002342981,0.00008754937,0.0001403565,0.0002971457,0.01359215],"genre_scores_gemma":[0.9771474,0.0005487484,0.01668586,0.00004869416,0.00005344239,0.00005687898,0.00008444899,0.00001286242,0.005361553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007090068,"threshold_uncertainty_score":0.01409757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007441010215730245,"score_gpt":0.1986152565136031,"score_spread":0.1911742462978729,"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."}}