{"id":"W1977619439","doi":"10.1002/rnc.1688","title":"Robust ℋ<sub>∞</sub>PID control for multivariable networked control systems with disturbance/noise attenuation","year":2011,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":182,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Victoria","funders":"","keywords":"PID controller; Control theory (sociology); Multivariable calculus; Control engineering; Noise (video); Robust control; Computer science; Control system; Robustness (evolution); Control (management); Attenuation; Engineering; Temperature control; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009329115,0.0003300237,0.0007436664,0.0001840416,0.0000943859,0.0001472766,0.0003699951,0.0001648185,0.00001089625],"category_scores_gemma":[0.0001635002,0.0002589206,0.0002194038,0.00009435317,0.00008835204,0.0004706456,0.00001024773,0.0002956927,0.000003842339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001527214,"about_ca_system_score_gemma":0.00008843061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000436186,"about_ca_topic_score_gemma":0.00003234944,"domain_scores_codex":[0.9977995,0.0001139703,0.0009598608,0.0002437429,0.0005107889,0.0003721552],"domain_scores_gemma":[0.9972554,0.0005695627,0.000517407,0.0001825229,0.001277715,0.0001974015],"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":[0.006393215,0.0001863251,0.01058875,0.00009749171,0.002373235,0.00005570937,0.0003030496,0.9679399,0.006743192,0.0003364978,0.0005387863,0.004443836],"study_design_scores_gemma":[0.02278211,0.0004622028,0.003041019,0.0003078864,0.0003830903,0.0001606852,0.0001866382,0.9700047,0.0003033429,0.0000584036,0.001957265,0.0003526067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.125617,0.002624051,0.8670948,0.0003309479,0.002654912,0.001090254,0.0002677004,0.0000823248,0.0002379768],"genre_scores_gemma":[0.9958599,0.00008420349,0.001568572,0.0001514278,0.002147122,0.00009559302,0.00001577658,0.00005364277,0.00002377211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8702429,"threshold_uncertainty_score":0.9999863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970568422539106,"score_gpt":0.2011133642571406,"score_spread":0.1814076800317495,"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."}}