{"id":"W4299905875","doi":"10.48550/arxiv.1705.01494","title":"Classical Discrete-Time Adaptive Control Revisited: Exponential\\n Stabilization","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Adaptive control; Bounded function; Exponential stability; Noise (video); Discrete time and continuous time; Mathematics; Projection (relational algebra); sort; Exponential function; Stability (learning theory); Convolution (computer science); Computer science; Control (management); Nonlinear system; Algorithm; Mathematical analysis; Image (mathematics); Artificial neural network","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":[0.000388129,0.0003803166,0.0002899913,0.0002639236,0.000216187,0.0007695499,0.0006512232,0.0006321104,0.001951777],"category_scores_gemma":[0.001151678,0.0001381331,0.0002585901,0.0002723924,0.001380451,0.0006526544,0.0006426408,0.001055436,0.0002371306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005387985,"about_ca_system_score_gemma":0.0002762179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008854615,"about_ca_topic_score_gemma":0.0007007395,"domain_scores_codex":[0.9997531,0.00004392325,0.00001139853,0.00006806613,0.0001055035,0.00001802775],"domain_scores_gemma":[0.9997417,0.0001017688,0.00003413753,0.00004760936,0.00006041746,0.00001435186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001355971,0.00004237972,0.0007314191,0.0003308416,0.00006191664,0.0002565802,0.0002257356,0.1987882,0.0288114,0.6888343,0.001804792,0.07997672],"study_design_scores_gemma":[0.00001741971,0.00006192556,0.0003836169,0.00002604709,0.00001235891,0.00008686041,0.0000224504,0.9074249,0.005962601,0.08221958,0.003765422,0.0000167448],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04462966,0.001964654,0.9236324,0.0007269054,0.0002633613,0.0000310687,0.00003165363,0.0002023559,0.02851799],"genre_scores_gemma":[0.9530951,0.001057599,0.0351798,0.0003126258,0.000156754,0.00004669909,0.00003266178,0.00002541607,0.0100934],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001951777,"threshold_uncertainty_score":0.006529391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04813019399170734,"score_gpt":0.1823490386399603,"score_spread":0.134218844648253,"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."}}