{"id":"W4226505870","doi":"10.3390/designs6020036","title":"Optimized Active Control of a Smart Cantilever Beam Using Genetic Algorithm","year":2022,"lang":"en","type":"article","venue":"Designs","topic":"Aeroelasticity and Vibration Control","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cantilever; Actuator; Active vibration control; Genetic algorithm; Vibration; Control theory (sociology); Vibration control; PID controller; Beam (structure); Position (finance); Computer science; Engineering; Acoustics; Control engineering; Control (management); Structural engineering; Temperature control; Physics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004491206,0.0005870012,0.0005350464,0.0004025853,0.000253365,0.0005709932,0.0005778967,0.0009418107,0.001471211],"category_scores_gemma":[0.0008324828,0.0003116145,0.0003993888,0.0002355444,0.0004980996,0.0002254045,0.0003284343,0.0003762071,0.0001456601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005118806,"about_ca_system_score_gemma":0.0006833887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005377513,"about_ca_topic_score_gemma":0.004346662,"domain_scores_codex":[0.9998657,0.00002942536,0.000004302499,0.00003063683,0.0000382726,0.00003176689],"domain_scores_gemma":[0.9997198,0.0001480993,0.00003920544,0.00001005828,0.00007027938,0.00001247947],"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":[0.00002010402,0.00001807193,0.0001791572,0.0000197236,0.00001223914,0.00002766748,0.00001995339,0.9876993,0.002914463,0.001215657,0.0001282538,0.00774542],"study_design_scores_gemma":[0.000007590244,0.00002087981,0.00006147937,0.000002143597,0.000002964046,0.00000246977,0.00000359881,0.9993488,0.0002534466,0.0001946089,0.0001003677,0.000001591172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1414715,0.0003937221,0.8485746,0.0002299506,0.00006831257,0.0001107585,0.00004342435,0.0003709667,0.008736824],"genre_scores_gemma":[0.9119654,0.0001227487,0.08445791,0.00007992848,0.00001194413,0.0001896811,0.00004162686,0.000024882,0.00310591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005377513,"threshold_uncertainty_score":0.01069242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147255582663395,"score_gpt":0.2198065880146695,"score_spread":0.1983340321880355,"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."}}