{"id":"W2918215717","doi":"10.1016/j.matcom.2019.02.019","title":"Controller Tuning Approach with robustness, stability and dynamic criteria for the original AVR System","year":2019,"lang":"en","type":"article","venue":"Mathematics and Computers in Simulation","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Robustness (evolution); Control theory (sociology); PID controller; Weighting; Computer science; MATLAB; Process dynamics; Robustness testing; Control engineering; Engineering; Software; Process (computing); Temperature control; Artificial intelligence","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":[0.001007107,0.0007827228,0.0007791221,0.0005518916,0.0003735085,0.001110807,0.0006177215,0.000983508,0.002092258],"category_scores_gemma":[0.001749119,0.0001974034,0.0004959619,0.0003301669,0.0005589984,0.0004724163,0.0007442129,0.0007087877,0.0003323789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003927083,"about_ca_system_score_gemma":0.0003983621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001798122,"about_ca_topic_score_gemma":0.001135296,"domain_scores_codex":[0.9994308,0.0001422764,0.00003282861,0.0001286628,0.0002242025,0.00004108318],"domain_scores_gemma":[0.9994448,0.0002445399,0.00006626381,0.00003696983,0.0001931666,0.00001433456],"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":[0.0002204556,0.0000858354,0.0004472242,0.0004740554,0.00009120379,0.0003477267,0.000263088,0.7811648,0.06989875,0.03350483,0.00187574,0.1116264],"study_design_scores_gemma":[0.0000155431,0.0001080247,0.0001991793,0.000008570561,0.00001476648,0.00006050244,0.00001419573,0.9937159,0.002001896,0.003074285,0.0007741163,0.00001298739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01237166,0.0002908268,0.9813176,0.00009236003,0.00004195039,0.00003900564,0.00002302716,0.0001909294,0.005632645],"genre_scores_gemma":[0.9246162,0.0003335915,0.06941949,0.0001174514,0.00009218873,0.0001717262,0.00007505112,0.00008697054,0.005087474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002092258,"threshold_uncertainty_score":0.006999373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473143287120605,"score_gpt":0.231776707936275,"score_spread":0.217045275065069,"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."}}