{"id":"W4297207053","doi":"10.21203/rs.3.rs-2070128/v1","title":"Command-Filter-Based Backstepping for a Class of Nonlinear Systems with Finite-Time Observer in the Presence of Mismatched Disturbances","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Backstepping; Control theory (sociology); Observer (physics); Nonlinear system; Class (philosophy); Filter (signal processing); Computer science; Control engineering; Engineering; Artificial intelligence; Physics; Control (management); Adaptive control; Computer vision","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":[0.00334849,0.0003572726,0.001005132,0.0003956422,0.00009699239,0.00008697284,0.001480559,0.0002221325,0.00002873506],"category_scores_gemma":[0.000456235,0.0002635865,0.0002270816,0.0006307548,0.0002363237,0.00008374727,0.000367007,0.001336691,0.000003356791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002491059,"about_ca_system_score_gemma":0.0003493627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007075523,"about_ca_topic_score_gemma":0.0002270879,"domain_scores_codex":[0.9954493,0.001082659,0.0008585124,0.0004702308,0.001531592,0.0006077201],"domain_scores_gemma":[0.9925019,0.005363583,0.0002763896,0.001191241,0.0005898788,0.00007696567],"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":[0.0005907917,0.0002363613,0.004121924,0.01810731,0.0002527391,0.00003453869,0.00194419,0.9725958,0.0009646247,0.0001098323,0.000931902,0.0001100079],"study_design_scores_gemma":[0.00158098,0.0005365663,0.001855813,0.004151125,0.00003140176,0.000001714285,0.003222345,0.9824232,0.0002709755,0.00002598082,0.005578862,0.0003210002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.89712,0.02188475,0.03585863,0.001008449,0.001292552,0.02867253,0.00956396,0.0003991818,0.00419994],"genre_scores_gemma":[0.9960088,0.00003439951,0.001333173,0.000005496728,0.0001999135,0.001810812,0.0003156941,0.00009462946,0.0001971144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09888876,"threshold_uncertainty_score":0.9999816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07481485265700305,"score_gpt":0.3307927883913216,"score_spread":0.2559779357343185,"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."}}