{"id":"W1481489270","doi":"10.1002/9781118341704.ch17","title":"New PI Controller Tuning Methods Using Multi‐Objective Optimization","year":2013,"lang":"en","type":"other","venue":"","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"PID controller; Pi; Control theory (sociology); Computer science; Mathematics; Control engineering; Engineering; Artificial intelligence; 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":[0.0009443091,0.0008449241,0.0005905761,0.0008537722,0.000338375,0.000687593,0.001161699,0.0007747359,0.001721678],"category_scores_gemma":[0.001575791,0.0004583616,0.0005170045,0.0005084109,0.0003638904,0.0007504505,0.0005038403,0.001215352,0.0005082897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003975444,"about_ca_system_score_gemma":0.0004792712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007075803,"about_ca_topic_score_gemma":0.001186522,"domain_scores_codex":[0.9995028,0.00007496759,0.00002709864,0.00005903362,0.0003172344,0.00001904152],"domain_scores_gemma":[0.9994583,0.0002366382,0.00007945654,0.0000480305,0.0001642147,0.00001342695],"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":[0.0001056382,0.000146274,0.0003627513,0.0004721768,0.00012872,0.0001024163,0.0001432059,0.5207589,0.03696348,0.01840379,0.001407905,0.4210048],"study_design_scores_gemma":[0.00002531559,0.00004825158,0.0001261451,0.0000203766,0.00001232409,0.00003787856,0.000005871914,0.9904777,0.004566811,0.001352109,0.00331243,0.00001484145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002488219,0.0002890089,0.995685,0.00002099818,0.00003335581,0.00003006927,0.000004910762,0.0001559639,0.001292528],"genre_scores_gemma":[0.1569095,0.0007475661,0.8370872,0.00008618382,0.00008933718,0.000321524,0.00006359429,0.0001373437,0.004557672],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001721678,"threshold_uncertainty_score":0.005759597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433696320756878,"score_gpt":0.2949662951375392,"score_spread":0.2706293319299704,"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."}}