{"id":"W2901127640","doi":"10.1002/asjc.1974","title":"Optimal Controller Design with Communication Delay for Solid Oxide Fuel Cell","year":2018,"lang":"en","type":"article","venue":"Asian Journal of Control","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Controller (irrigation); Nonlinear system; Control theory (sociology); Computer science; Solid oxide fuel cell; Control engineering; State (computer science); Control (management); SIGNAL (programming language); Distributed computing; Engineering; Algorithm","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":[0.0004887797,0.0007839361,0.0007705721,0.0003111826,0.0005049304,0.0009625143,0.0007785351,0.001155445,0.001481088],"category_scores_gemma":[0.0008855155,0.0003621564,0.0003209775,0.0002817798,0.0005609219,0.0004098594,0.0005577052,0.0007783789,0.0001479338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008320109,"about_ca_system_score_gemma":0.001264179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006373951,"about_ca_topic_score_gemma":0.003599339,"domain_scores_codex":[0.9997509,0.00004278383,0.00001060127,0.00006953037,0.0000824315,0.00004365372],"domain_scores_gemma":[0.9995396,0.0002032176,0.00008209967,0.00002207884,0.0001326302,0.00002035639],"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":[0.0001048289,0.00003950331,0.0001349898,0.00008731798,0.00002242227,0.00008610791,0.00004501853,0.9764344,0.006597131,0.003240229,0.0003294048,0.01287875],"study_design_scores_gemma":[0.00002100392,0.00004276593,0.00003432527,0.000002100535,0.00000416086,0.000005267475,0.000005086872,0.9984125,0.000872894,0.0004091981,0.0001881841,0.000002409516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07382777,0.0007665681,0.918782,0.0002816826,0.0001308777,0.0000930153,0.00004778064,0.0002912715,0.005779088],"genre_scores_gemma":[0.9812359,0.0001665727,0.01695227,0.00003393761,0.00002756725,0.00009814781,0.00002841162,0.00001241664,0.001444804],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006373951,"threshold_uncertainty_score":0.01267368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006543135562216177,"score_gpt":0.2150225308513117,"score_spread":0.2084793952890956,"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."}}