{"id":"W1991869164","doi":"10.1109/acc.2010.5531353","title":"Tuning of fractional PI controllers for fractional order system models with and without time delays","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Transfer function; Robustness (evolution); Phase margin; PID controller; Fractional-order system; Closed-loop pole; Mathematics; Quadratic equation; Minification; Function (biology); Fractional calculus; Computer science; Mathematical optimization; Applied mathematics; Engineering; Full state feedback; Control engineering; Temperature control; Control (management)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000147006,0.0001538152,0.0002999616,0.00007565556,0.00006315653,0.00001859931,0.00005896721,0.00009555908,0.00003997199],"category_scores_gemma":[0.00001880378,0.00012691,0.00003349952,0.000066962,0.00003420394,0.0003393036,0.00000629201,0.0001611015,0.000006713838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003977916,"about_ca_system_score_gemma":0.0000346809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001897929,"about_ca_topic_score_gemma":0.00002204763,"domain_scores_codex":[0.9992312,0.00001105815,0.0002403568,0.0001613603,0.0001752101,0.0001808405],"domain_scores_gemma":[0.9993103,0.0002062983,0.00007567401,0.0001375506,0.0001959159,0.00007427733],"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":[0.0002911233,0.00001317768,0.0003709673,0.0001285346,0.0003003234,9.164187e-7,0.00004905541,0.9001638,0.07562832,0.02238342,0.0002163977,0.0004540149],"study_design_scores_gemma":[0.002140483,0.00004662303,0.0000712447,0.00003402346,0.00003606798,0.0000619686,0.00008631111,0.9961123,0.0003136185,0.0003121166,0.0006260317,0.0001591585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01381313,0.00005354423,0.976303,0.00002424011,0.0001623293,0.0004826976,0.00001989991,0.0002211147,0.008920093],"genre_scores_gemma":[0.95071,8.840854e-7,0.04851214,0.00001414969,0.0001165154,0.0001225507,0.000006140655,0.00004349828,0.0004741449],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9368969,"threshold_uncertainty_score":0.5175239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007471126843903816,"score_gpt":0.2024437055573861,"score_spread":0.1949725787134823,"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."}}