{"id":"W2070592416","doi":"10.1109/tnn.2011.2167685","title":"Data-Based Virtual Unmodeled Dynamics Driven Multivariable Nonlinear Adaptive Switching Control","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Neural Networks","topic":"Control Systems and Identification","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"State Key Laboratory of Synthetical Automation for Process Industries; Chinese Academy of Engineering; National Natural Science Foundation of China","keywords":"Control theory (sociology); Controller (irrigation); Multivariable calculus; Nonlinear system; Computer science; Convergence (economics); Control engineering; Stability (learning theory); Adaptive control; Engineering; Control (management); 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000148305,0.0002464154,0.0002782707,0.0001090775,0.0001792152,0.0000537829,0.0003341309,0.0001585309,0.00004760272],"category_scores_gemma":[0.000002829027,0.0002467376,0.0001004859,0.0001957062,0.00002246494,0.0003699717,0.000001529704,0.0003878937,0.00002203008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001131028,"about_ca_system_score_gemma":0.0000170148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002416886,"about_ca_topic_score_gemma":0.0008878171,"domain_scores_codex":[0.9987051,0.00007110966,0.0003815927,0.0003503241,0.0001610484,0.0003308565],"domain_scores_gemma":[0.9990031,0.0001271818,0.00006696131,0.0006291702,0.000061783,0.000111825],"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":[0.0001379991,0.00007953,0.00001122828,0.000006444688,0.00009130898,0.000004113977,0.00005336814,0.9826187,0.0006194838,0.00003748262,0.00005868842,0.01628159],"study_design_scores_gemma":[0.001259748,0.0000950903,0.00007337034,0.00003180428,0.00009533192,0.000003016679,0.00004130049,0.9978971,0.0001923344,0.000005863368,0.00005921978,0.0002458037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01552481,0.00003302937,0.9814736,0.00002285016,0.001632878,0.0004384202,0.0002596614,0.0004205487,0.0001942471],"genre_scores_gemma":[0.9981965,0.000009119697,0.001323147,0.00005543442,0.0001656552,0.00006016223,0.00006064957,0.00006257322,0.00006674252],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9826717,"threshold_uncertainty_score":0.9999985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02871333198965043,"score_gpt":0.2149274575210288,"score_spread":0.1862141255313784,"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."}}