{"id":"W2009783386","doi":"10.5539/mas.v8n5p186","title":"Design of PID Filter Controller with Genetic Algorithm for Mimo System in Modern Power Generation","year":2014,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sri Krishna College of Engineering and Technology","keywords":"PID controller; Control theory (sociology); Robustness (evolution); Throttle; Multivariable calculus; Wood gas generator; Computer science; Coal; Automotive engineering; Control engineering; Engineering; Temperature control","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":[0.0004297573,0.0004990917,0.0004962518,0.0002938703,0.0003479579,0.0005966906,0.0005660785,0.0007421365,0.001220116],"category_scores_gemma":[0.0005576087,0.0002231551,0.0003600276,0.0002527421,0.0003111084,0.0003268677,0.0002616617,0.0005804761,0.0002147972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003959709,"about_ca_system_score_gemma":0.00072376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004913358,"about_ca_topic_score_gemma":0.003950717,"domain_scores_codex":[0.999792,0.00004245182,0.000008604335,0.00005121654,0.00007735495,0.00002842621],"domain_scores_gemma":[0.9998665,0.00004902834,0.00001974551,0.00000815855,0.00005048987,0.000005951756],"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":[0.00007614694,0.00006111738,0.0007028677,0.0001364077,0.00006415286,0.0001239014,0.0000987313,0.8771251,0.01655489,0.005005645,0.0007529847,0.09929806],"study_design_scores_gemma":[0.00001987078,0.00007608246,0.0002557965,0.000005987923,0.0000105564,0.00003058409,0.00001014282,0.9957295,0.002186132,0.000701083,0.0009679851,0.000006262543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01823523,0.0003968141,0.9778204,0.00007051987,0.00004610859,0.00004499094,0.0000122173,0.0003079009,0.003065715],"genre_scores_gemma":[0.8110235,0.0003767103,0.1847705,0.00008192658,0.00003949861,0.0001783243,0.00004636911,0.00003181943,0.003451309],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004913358,"threshold_uncertainty_score":0.009769499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00962719140577223,"score_gpt":0.1911599331398417,"score_spread":0.1815327417340694,"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."}}