{"id":"W2989443623","doi":"10.1109/tsmc.2019.2946189","title":"Nonfragile Sampled-Data Filtering of Uncertain Fuzzy Systems With Time-Varying Delays","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Systems Man and Cybernetics Systems","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Sichuan Province Science and Technology Support Program; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Bounding overwatch; Control theory (sociology); Fuzzy logic; Controller (irrigation); Computer science; Fuzzy control system; Stability (learning theory); Mathematics; Mathematical optimization; Control (management); Artificial intelligence; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007593875,0.0005768791,0.001185591,0.0003003726,0.0001483239,0.0002999082,0.000620138,0.0003019146,0.00002661814],"category_scores_gemma":[0.000006711506,0.0005144036,0.000111034,0.0003727439,0.00009937869,0.0003239239,0.000009709988,0.0003771166,0.0001428038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001846677,"about_ca_system_score_gemma":0.00007627181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002304032,"about_ca_topic_score_gemma":0.00005618064,"domain_scores_codex":[0.9964961,0.0002534652,0.001177038,0.000743798,0.0007160869,0.0006135033],"domain_scores_gemma":[0.9971703,0.0004295058,0.0002712944,0.001644502,0.0001846388,0.0002997403],"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":[0.0001280861,0.00008084784,0.0002684241,0.003776619,0.0005579019,0.00001469466,0.0007156805,0.9862267,0.007035573,0.0002766244,0.0003882547,0.0005305396],"study_design_scores_gemma":[0.002055692,0.0004991798,0.00004444888,0.002746723,0.0002020161,0.0003235592,0.002821809,0.9823633,0.0004317303,0.000004589117,0.007605955,0.0009009507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4544208,0.01257835,0.4828675,0.00004921884,0.0113729,0.007589857,0.002133146,0.001438975,0.0275492],"genre_scores_gemma":[0.9970483,0.0001028371,0.00008278085,0.000008194916,0.0001867669,0.0002074796,0.0000321801,0.0001298628,0.002201654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5426274,"threshold_uncertainty_score":0.9997308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018180937789858,"score_gpt":0.2094005737409999,"score_spread":0.1912196359511419,"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."}}