{"id":"W2084772696","doi":"10.1002/asjc.341","title":"Synchronizing chaotic systems with parametric uncertainty via a novel adaptive impulsive observer","year":2011,"lang":"en","type":"article","venue":"Asian Journal of Control","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Synchronizing; Control theory (sociology); Parametric statistics; Observer (physics); Synchronization (alternating current); Scalar (mathematics); Adaptive control; Computer science; Chaotic systems; Mathematics; Interval (graph theory); Chaotic; Control (management); Topology (electrical circuits); Artificial intelligence; Statistics","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":[0.0002816127,0.0002318954,0.0005470181,0.0001879,0.0001012079,0.00006126433,0.000229498,0.00005008511,0.0001310981],"category_scores_gemma":[0.00001753135,0.0001662112,0.0001910323,0.0003168946,0.00006092223,0.0003522483,0.00001345844,0.0002821737,0.00001393383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009729369,"about_ca_system_score_gemma":0.0002155628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001840968,"about_ca_topic_score_gemma":0.000007217376,"domain_scores_codex":[0.9985398,0.00009588024,0.0005491432,0.0001732018,0.0003055335,0.0003364151],"domain_scores_gemma":[0.9981495,0.00008346549,0.0008363227,0.0001847913,0.0005568736,0.0001890572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0102753,0.004412792,0.4138018,0.0002652039,0.01781767,0.0007469753,0.02019235,0.1280142,0.004839284,0.121837,0.0005800798,0.2772172],"study_design_scores_gemma":[0.09453683,0.01285162,0.2031578,0.002290867,0.004548134,0.001212912,0.02519523,0.6418206,0.0006562911,0.009124226,0.001167696,0.003437825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06742679,0.000520134,0.928258,0.0001271984,0.0003663163,0.0004227474,0.0000234075,0.00001320403,0.002842187],"genre_scores_gemma":[0.9985604,0.000001323401,0.0006792775,0.00003518259,0.0006275448,0.00001260747,0.000003094218,0.00002745832,0.00005309942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9311336,"threshold_uncertainty_score":0.6777898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.016569236730168,"score_gpt":0.19598372631519,"score_spread":0.179414489585022,"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."}}