{"id":"W2937412178","doi":"10.2316/j.2019.201-2947","title":"PID CONTROLLER DESIGN FOR DECENTRALIZED TITO PROCESS USING MODIFIED DIFFERENTIAL EVOLUTION ALGORITHM","year":2019,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"PID controller; Differential evolution; Control theory (sociology); Differential (mechanical device); Process (computing); Computer science; Controller (irrigation); Control engineering; Algorithm; Engineering; Control (management); Artificial intelligence; Biology; Operating system; 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":[0.000430193,0.0004710684,0.0008656787,0.0002630216,0.0005504999,0.00110119,0.0007845322,0.0006888857,0.002758336],"category_scores_gemma":[0.0006947434,0.0002620019,0.0004419062,0.0003017903,0.0004131515,0.0003483347,0.0006141753,0.0006226511,0.0004996391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003779714,"about_ca_system_score_gemma":0.0008232716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002812507,"about_ca_topic_score_gemma":0.002317882,"domain_scores_codex":[0.9997662,0.0000349724,0.00001447656,0.00006723361,0.00008827726,0.00002884845],"domain_scores_gemma":[0.9997786,0.00006118258,0.00003970667,0.00001669568,0.00009145331,0.00001247437],"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":[0.0002454906,0.00009574401,0.0008008203,0.0003798464,0.00007719293,0.0002179667,0.0001655025,0.840162,0.02754414,0.01270119,0.001593327,0.1160168],"study_design_scores_gemma":[0.00002671339,0.00008702648,0.0001610961,0.000007447537,0.00001115744,0.00002707764,0.000008318848,0.996176,0.001687724,0.0007182319,0.001082396,0.000006843133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01655982,0.0003531217,0.9736986,0.0001194356,0.0001142495,0.00008126706,0.00003027328,0.0003131982,0.008730036],"genre_scores_gemma":[0.9261019,0.0003284612,0.06612148,0.00007453013,0.00005149187,0.0002375657,0.00007162258,0.00004158612,0.006971323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002812507,"threshold_uncertainty_score":0.009227514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009601030419716439,"score_gpt":0.214287766153152,"score_spread":0.2046867357334355,"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."}}