{"id":"W2913641563","doi":"10.1177/0142331218823875","title":"Consensus in first-order nonlinear multi-agent systems with state time delays using adaptive fuzzy wavelet networks","year":2019,"lang":"en","type":"article","venue":"Transactions of the Institute of Measurement and Control","topic":"Neural Networks Stability and Synchronization","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Nonlinear system; Bounded function; Fuzzy logic; Adaptive control; Computer science; Wavelet; Multi-agent system; Fuzzy control system; Lyapunov function; Lyapunov stability; Mathematics; Stability (learning theory); Mathematical optimization; Control (management); Artificial intelligence; Machine learning","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":[0.0005597187,0.0001294182,0.0002612518,0.00006589484,0.0001007227,0.00002314167,0.0002275895,0.00004921741,0.00000209774],"category_scores_gemma":[0.000006999383,0.00009178318,0.00004898229,0.0003205158,0.0001167952,0.0001911139,0.00001134075,0.0001376538,7.490322e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008002242,"about_ca_system_score_gemma":0.0001137622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004285597,"about_ca_topic_score_gemma":0.001085636,"domain_scores_codex":[0.9988237,0.00008677435,0.0003524693,0.0002050228,0.0003572229,0.0001747833],"domain_scores_gemma":[0.9991357,0.00004662379,0.0001729178,0.0002988494,0.0003076454,0.00003823116],"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":[0.0001700783,0.0001144959,0.0008521597,0.00004554026,0.00007799269,0.00000131091,0.0001627239,0.995692,0.001175083,0.00009550538,0.000001024337,0.001612116],"study_design_scores_gemma":[0.002235976,0.0001326659,0.0008254074,0.0002179221,0.00004024614,0.000007575434,0.00002530312,0.9960853,0.0002704526,0.00001291081,0.0000397913,0.0001064142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1286384,0.0002882699,0.8698178,0.0001385752,0.0003259444,0.0007396439,0.000007454336,0.00001382704,0.00003013582],"genre_scores_gemma":[0.9921928,0.00001360508,0.007728131,0.00002027062,0.00001102631,0.00000648095,4.346811e-7,0.000005829419,0.00002139363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8635545,"threshold_uncertainty_score":0.3742809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02339691631688355,"score_gpt":0.1998394810178785,"score_spread":0.176442564700995,"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."}}