{"id":"W4391302606","doi":"10.2514/6.2024-0119","title":"Design of a Nonlinear Adaptive Fuzzy Logic System for Cessna Citation X Speed Control","year":2024,"lang":"en","type":"article","venue":"","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Fuzzy logic; Nonlinear system; Control theory (sociology); Computer science; Fuzzy control system; Electronic speed control; Adaptive control; Control (management); Engineering; Artificial intelligence; Electrical engineering; Physics","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":[0.0006859725,0.0001354462,0.0002966235,0.0001173794,0.00004959046,0.0001280271,0.0004254303,0.00007552557,0.000001641397],"category_scores_gemma":[0.00003430522,0.00009620548,0.0001131279,0.0003117251,0.00002598939,0.0002732605,0.00002944319,0.00005434731,0.00004771346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005950131,"about_ca_system_score_gemma":0.000113988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003677167,"about_ca_topic_score_gemma":0.000001663857,"domain_scores_codex":[0.9987181,0.0001248345,0.0003523745,0.0003505575,0.0002356331,0.000218524],"domain_scores_gemma":[0.998795,0.0005958473,0.00009387366,0.0002539706,0.000206323,0.0000550127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008987021,0.00003062017,0.000007072502,0.0002537823,0.0001040207,0.00001553691,0.0003651478,0.005327593,0.004466274,0.9834592,0.0004979168,0.005382905],"study_design_scores_gemma":[0.0008632409,0.0004021495,0.00001859916,0.0001008815,0.00002707795,0.00001205485,0.0002685134,0.9804094,0.000465599,0.0171831,0.0001183328,0.0001310008],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001129866,0.0007464117,0.9848539,0.0003901077,0.0006774822,0.0009917531,0.00001259494,0.0003320715,0.01188273],"genre_scores_gemma":[0.9305117,0.000001898731,0.06884246,0.00009070603,0.0001439383,0.00007008293,0.000001783241,0.00000833178,0.0003291669],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9750819,"threshold_uncertainty_score":0.3923146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04127173787290584,"score_gpt":0.2501773541301415,"score_spread":0.2089056162572357,"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."}}