{"id":"W4303856768","doi":"10.3390/math10193682","title":"Fixed-Time Output-Constrained Synchronization of Unknown Chaotic Financial Systems Using Neural Learning","year":2022,"lang":"en","type":"article","venue":"Mathematics","topic":"Chaos control and synchronization","field":"Physics and Astronomy","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"King Abdulaziz University","keywords":"Control theory (sociology); Synchronization (alternating current); Computer science; Controller (irrigation); Artificial neural network; Adaptive control; Identification (biology); Chaotic; Lyapunov stability; Stability (learning theory); Lyapunov function; Residual; Control (management); Artificial intelligence; Algorithm; Machine learning; Nonlinear system","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":[0.0004198882,0.0004159787,0.0003494213,0.0001845316,0.0002875509,0.0004661119,0.0005438725,0.000435185,0.0006029136],"category_scores_gemma":[0.001107855,0.0001435715,0.0002836261,0.0002491249,0.0004909791,0.000478633,0.0006631539,0.0004525584,0.00006075195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003674133,"about_ca_system_score_gemma":0.0004431638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002720284,"about_ca_topic_score_gemma":0.001583428,"domain_scores_codex":[0.9998281,0.00003887269,0.00001255237,0.00005068689,0.00005098504,0.00001880912],"domain_scores_gemma":[0.9997513,0.00009870299,0.00007015905,0.00001787097,0.00005037161,0.0000115114],"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":[0.0001087648,0.00002723296,0.001080064,0.0001451604,0.00005368026,0.0001963838,0.0001681622,0.9092028,0.01395604,0.02253446,0.0003987917,0.05212834],"study_design_scores_gemma":[0.000005724954,0.00002436269,0.0001396017,0.000004260169,0.000004294806,0.00001435868,0.000006028072,0.9971895,0.001011909,0.0013885,0.0002066906,0.000004793561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08600131,0.0003808797,0.9081715,0.0001581716,0.00006269846,0.0000348705,0.00002074273,0.0001312255,0.005038527],"genre_scores_gemma":[0.9838513,0.0001527902,0.01473245,0.0000231084,0.00001437409,0.00003745527,0.00001532126,0.000008566057,0.001164656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002720284,"threshold_uncertainty_score":0.005408943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087245707996255,"score_gpt":0.2110877972354814,"score_spread":0.2002153401555188,"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."}}