{"id":"W4416429955","doi":"10.1109/icstcc66753.2025.11240376","title":"Fictitious Reference Iterative Tuning of Active Disturbance Rejection Control Combined with Fuzzy Logic for Crane Systems","year":2025,"lang":"","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Control theory (sociology); Fuzzy logic; Disturbance (geology); Active disturbance rejection control; Fuzzy control system; Component (thermodynamics); Control (management)","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":[0.0005435805,0.0004645603,0.0003706072,0.0003735478,0.0002850392,0.0006566253,0.0008896535,0.0004063166,0.0007368866],"category_scores_gemma":[0.0009333871,0.0001630054,0.000335779,0.0002260827,0.0004530308,0.0003597166,0.0003011654,0.0004582061,0.0001539104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003460794,"about_ca_system_score_gemma":0.0003203749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002896101,"about_ca_topic_score_gemma":0.003039586,"domain_scores_codex":[0.9996368,0.00006716135,0.00002171226,0.00008018919,0.0001612691,0.00003299471],"domain_scores_gemma":[0.9997277,0.00008975116,0.00004848994,0.00003888525,0.0000849742,0.0000102597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004205451,0.0001658516,0.0009847858,0.0003993473,0.0001115259,0.0002735358,0.0004178436,0.3972766,0.1128659,0.01434083,0.0008585896,0.4718847],"study_design_scores_gemma":[0.000024102,0.0002690559,0.0005894958,0.00002081181,0.00002362685,0.0001128938,0.00001583357,0.9794797,0.01585359,0.001117063,0.002471447,0.00002242948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03989032,0.0005261604,0.9540825,0.0000540418,0.00005368581,0.00004462781,0.000006844902,0.000338563,0.005003319],"genre_scores_gemma":[0.9192501,0.0001764779,0.07872695,0.00005000735,0.00002513017,0.0000373163,0.000015525,0.0000182358,0.001700256],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002896101,"threshold_uncertainty_score":0.005758524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564223638662518,"score_gpt":0.2429078162103859,"score_spread":0.2272655798237607,"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."}}