{"id":"W4416716008","doi":"10.18280/mmep.121012","title":"Multi-Verse Optimizer Based Classical and Nonlinear PI Controller Design for TCP/AQM System: A Comparative Study","year":2025,"lang":"","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); Nonlinear system; Controller (irrigation); Trajectory; Control system; Stability (learning theory)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001346243,0.001004653,0.0021388,0.0003634233,0.0002818035,0.0003300394,0.0002573753,0.0004157365,0.000003284147],"category_scores_gemma":[0.0001454768,0.0009511344,0.000214766,0.0003231281,0.0001103378,0.0002090844,0.00008208616,0.000640629,0.00001132837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002402804,"about_ca_system_score_gemma":0.00006210589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008706398,"about_ca_topic_score_gemma":8.305001e-7,"domain_scores_codex":[0.9960222,0.0001693903,0.001511326,0.0009736242,0.000335498,0.0009879312],"domain_scores_gemma":[0.9963858,0.002392112,0.0001561877,0.0004778252,0.0002026681,0.000385371],"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":[0.0002546248,0.0004581753,0.000002857603,0.007027445,0.0007544313,0.000008896059,0.001735669,0.9848692,0.0007305054,0.004013381,0.00002424123,0.000120618],"study_design_scores_gemma":[0.0103649,0.0004286044,0.000001621385,0.003107554,0.0007428069,0.00001048856,0.0008106169,0.9830028,0.0001034558,0.000448804,0.0001591468,0.0008191509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002845602,0.002312678,0.9868768,0.00007558136,0.0003288991,0.006839328,0.00003532643,0.0005995277,0.00008627542],"genre_scores_gemma":[0.5852141,0.00001922285,0.4132536,0.00000900576,0.00006937089,0.001126156,0.000002677296,0.0001016158,0.0002042425],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5823685,"threshold_uncertainty_score":0.9992939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05838546171747544,"score_gpt":0.2629491840154609,"score_spread":0.2045637222979855,"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."}}