{"id":"W4317106052","doi":"10.18280/jesa.550605","title":"Optimization and Performance Analysis of Fractional Order PID Controller for DC Motor Speed Control","year":2022,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced Control Systems Design","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"PID controller; Computer science; Flexibility (engineering); Multi-agent system; Field (mathematics); Artificial intelligence; Control engineering; Systems engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001042666,0.000722805,0.0008571906,0.0005678973,0.0007051727,0.001516328,0.0005195445,0.0008499382,0.003394694],"category_scores_gemma":[0.001791226,0.0003101719,0.0005825165,0.0003764437,0.0005218387,0.0004197393,0.0004487545,0.0006973131,0.0002741254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141201,"about_ca_system_score_gemma":0.001238905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0124804,"about_ca_topic_score_gemma":0.00628409,"domain_scores_codex":[0.9996183,0.00008038487,0.0000170231,0.00007388935,0.0001501637,0.00006017747],"domain_scores_gemma":[0.9993653,0.0003226165,0.00006898628,0.00002591262,0.0002022569,0.00001495764],"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":[0.0001364474,0.00003462782,0.0005614305,0.0001818062,0.000041281,0.0000998976,0.00007782943,0.9704874,0.004396723,0.004752437,0.0005869542,0.01864324],"study_design_scores_gemma":[0.000004849839,0.00004381019,0.0002858568,0.000005445233,0.00001055351,0.00001025335,0.00001231607,0.9982311,0.0006316623,0.0004543618,0.0003053261,0.000004396843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1229873,0.002929272,0.833541,0.0005460307,0.0001871458,0.0001176953,0.00007415186,0.0005029743,0.03911448],"genre_scores_gemma":[0.9860895,0.0003763556,0.01008866,0.00002778863,0.00001850257,0.00004389269,0.00003081658,0.00002632538,0.003298232],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0124804,"threshold_uncertainty_score":0.0248155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065139934752946,"score_gpt":0.2233826321342341,"score_spread":0.2127312327867047,"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."}}