{"id":"W3132670030","doi":"10.1016/j.cnsns.2021.105773","title":"Networked sampled-data control of distributed parameter systems via distributed sensor networks","year":2021,"lang":"en","type":"article","venue":"Communications in Nonlinear Science and Numerical Simulation","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Distributed parameter system; Computer science; Sampling (signal processing); Controller (irrigation); Exponential stability; Boundary (topology); Stability (learning theory); Mathematical optimization; Control (management); Mathematics; Partial differential equation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006795097,0.0004691283,0.0006239013,0.0002650753,0.0003372517,0.0008630859,0.0007549371,0.0004736125,0.00080349],"category_scores_gemma":[0.002874594,0.0002397607,0.0002661011,0.0002901138,0.0008801919,0.0009652868,0.0008643084,0.0006765907,0.00007656916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004874532,"about_ca_system_score_gemma":0.0005110988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002686968,"about_ca_topic_score_gemma":0.002428233,"domain_scores_codex":[0.9995821,0.0001272271,0.00003006096,0.00010065,0.0001266479,0.00003337863],"domain_scores_gemma":[0.9990563,0.0005507899,0.0001336783,0.0000835708,0.0001456652,0.0000300479],"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":[0.0002495992,0.00007290837,0.0005750015,0.00009043038,0.00003532181,0.00005500631,0.0001119585,0.9485062,0.006190867,0.01010519,0.0004220943,0.03358546],"study_design_scores_gemma":[0.00001231938,0.00002552728,0.0000828614,0.000002317224,0.00000285294,0.000003984329,0.000004815951,0.9967809,0.0005789308,0.002374975,0.0001282202,0.000002365879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08241916,0.0003416192,0.9137641,0.0002516853,0.0001458334,0.00004066661,0.00005674522,0.0003055737,0.002674602],"genre_scores_gemma":[0.98691,0.0001020985,0.01220583,0.00002686651,0.00002783566,0.00004625756,0.00002638169,0.00001116623,0.0006434884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002686968,"threshold_uncertainty_score":0.005342662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04630397694541378,"score_gpt":0.3046109836291534,"score_spread":0.2583070066837396,"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."}}