{"id":"W1673399436","doi":"","title":"PSO and GSA algorithms for fuzzy controller tuning with reduced process small time constant sensitivity","year":2012,"lang":"en","type":"article","venue":"International Conference on System Theory, Control and Computing","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Particle swarm optimization; Sensitivity (control systems); Fuzzy logic; Constant (computer programming); Control theory (sociology); Mathematics; Mathematical optimization; PID controller; Nonlinear system; Algorithm; Computer science; Engineering; Artificial intelligence; Temperature control; Physics; Control (management); Control engineering","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":[0.0006457212,0.0007585171,0.0007495289,0.0005428634,0.0003471099,0.0007247356,0.000544523,0.0009556981,0.001566614],"category_scores_gemma":[0.002292907,0.0002849395,0.0006661583,0.0006105667,0.0005759803,0.0005138103,0.000484389,0.001083355,0.0003954155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003447531,"about_ca_system_score_gemma":0.0005642539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002140663,"about_ca_topic_score_gemma":0.001689956,"domain_scores_codex":[0.9996716,0.0001026214,0.00002392466,0.00004615225,0.0001379958,0.00001768811],"domain_scores_gemma":[0.9995689,0.000252328,0.00004356934,0.00004028682,0.00008174479,0.00001318904],"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":[0.00006711103,0.00004396903,0.0004370946,0.0001696636,0.00008607798,0.00007435219,0.00009428588,0.781926,0.005109896,0.03128646,0.001124555,0.1795806],"study_design_scores_gemma":[0.00001210067,0.00003891493,0.0001771019,0.00001140789,0.00001001299,0.00003075783,0.000009167275,0.9912328,0.0009287791,0.005210747,0.002330298,0.00000799902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005259876,0.0007444788,0.9903862,0.0001228337,0.00007785529,0.00003561628,0.00001240058,0.000228654,0.003131999],"genre_scores_gemma":[0.4243572,0.001190369,0.5676532,0.0001562494,0.0001260013,0.0003324642,0.00009174514,0.0001212334,0.005971545],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002140663,"threshold_uncertainty_score":0.005240858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496504082672881,"score_gpt":0.2534541942498401,"score_spread":0.2284891534231113,"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."}}