{"id":"W4387344250","doi":"10.1002/rnc.7018","title":"Adaptive boundary observer network design for the consensus on the estimation of a class of parabolic partial differential equation systems","year":2023,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Convergence (economics); Identifier; Mathematics; Boundary (topology); Control theory (sociology); Observer (physics); Partial differential equation; Term (time); Mathematical optimization; Function (biology); Mathematical proof; Computer science; Applied mathematics; Mathematical analysis; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001031181,0.0006076356,0.0007184381,0.0003612476,0.0003619846,0.0007179083,0.001003547,0.001116702,0.00115012],"category_scores_gemma":[0.002451804,0.0003056612,0.0003631109,0.0002135452,0.0007393609,0.0009267128,0.001233514,0.0009298951,0.0001757566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004243618,"about_ca_system_score_gemma":0.0005779287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002797066,"about_ca_topic_score_gemma":0.001720419,"domain_scores_codex":[0.9995863,0.0001095289,0.00002129809,0.0001291726,0.0001090075,0.00004465594],"domain_scores_gemma":[0.9992366,0.0002791105,0.0001363348,0.00005356868,0.0002586459,0.00003575447],"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":[0.0001607681,0.00004286301,0.000865115,0.0001063858,0.00003925289,0.0001491068,0.0002341472,0.9285337,0.01647978,0.01289092,0.0005264136,0.03997159],"study_design_scores_gemma":[0.000005111202,0.00002816101,0.00005141692,0.000003158858,0.000002665508,0.000006105628,0.000006555889,0.9985139,0.0006071064,0.0006233404,0.0001497973,0.000002636563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02046095,0.0001008147,0.977803,0.000075588,0.00002993088,0.0000263921,0.000007830628,0.00008156855,0.001413869],"genre_scores_gemma":[0.9490322,0.000130964,0.04897051,0.00004915847,0.00002513368,0.0001516698,0.00004046258,0.00001384619,0.001586014],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002797066,"threshold_uncertainty_score":0.00556159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0605162076664454,"score_gpt":0.2601004128822821,"score_spread":0.1995842052158368,"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."}}