{"id":"W2220159512","doi":"10.1504/ijista.2015.072222","title":"Self-tuning fuzzy logic PID controller, applications in nuclear power plants","year":2015,"lang":"en","type":"article","venue":"International Journal of Intelligent Systems Technologies and Applications","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"PID controller; Control theory (sociology); Settling time; Overshoot (microwave communication); Fuzzy logic; Control engineering; Control system; Fuzzy control system; Controller (irrigation); Engineering; Self-tuning; Computer science; Temperature control; Step response; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005932802,0.0001743135,0.0003499223,0.0004598651,0.00008006333,0.0002557134,0.001800008,0.0001523932,6.250761e-7],"category_scores_gemma":[0.00007736472,0.0001352583,0.0000872608,0.0002825043,0.00007519111,0.0003177149,0.0002792189,0.00027591,0.00002577143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002081993,"about_ca_system_score_gemma":0.00007401147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000382793,"about_ca_topic_score_gemma":0.000003446198,"domain_scores_codex":[0.9981749,0.00004999062,0.000821004,0.0002730109,0.000466451,0.0002146239],"domain_scores_gemma":[0.9982967,0.0001476783,0.0006047096,0.0003159938,0.0005365132,0.00009844756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002201377,0.0002212655,0.0009671483,0.00001339592,0.0001349907,0.00002040588,0.0004494689,0.0004168727,0.0003125459,0.9758421,0.0005649795,0.02103488],"study_design_scores_gemma":[0.00281325,0.0005560306,0.0004189317,0.0003087034,0.00003609314,0.001420492,0.03036543,0.01626584,0.000282125,0.2276618,0.7191253,0.0007460089],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00650637,0.01814784,0.9504686,0.005224289,0.001080754,0.001835412,0.00002548722,0.0007713329,0.0159399],"genre_scores_gemma":[0.9944203,0.000796491,0.00434374,0.00007747237,0.0001214333,0.0001878745,0.000001968701,0.000009931754,0.00004072302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.987914,"threshold_uncertainty_score":0.5515673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02031073814522683,"score_gpt":0.2574553373660414,"score_spread":0.2371445992208146,"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."}}