{"id":"W4324290838","doi":"10.1109/tac.2023.3256764","title":"Secure Nonlinear Sampled-Data Control System Against Stealthy Attack: Multirate Approach","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discretization; Control theory (sociology); Sampling (signal processing); Nonlinear system; Zero (linguistics); Stability (learning theory); Sampled data systems; Computer science; Property (philosophy); Control (management); Process (computing); Control system; Mathematics; Engineering; Artificial intelligence","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":[0.0008182661,0.0006737181,0.000647302,0.00027015,0.0003956099,0.000982745,0.0006355791,0.0007076053,0.001472642],"category_scores_gemma":[0.00172189,0.0002061296,0.0005280728,0.0001465159,0.001067728,0.001063149,0.001529306,0.0009127759,0.0001962444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004781724,"about_ca_system_score_gemma":0.0004176387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000716089,"about_ca_topic_score_gemma":0.0004763374,"domain_scores_codex":[0.9993566,0.00018483,0.00004159799,0.0001259878,0.0002090694,0.00008202016],"domain_scores_gemma":[0.9992592,0.0002452093,0.0001722466,0.0001408778,0.0001371718,0.00004523902],"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":[0.0006632064,0.00008139747,0.001939228,0.0003151064,0.0001098104,0.000657635,0.0005476699,0.7776238,0.05430193,0.1161526,0.000690384,0.0469172],"study_design_scores_gemma":[0.00001206052,0.0001177328,0.0001297845,0.00001309134,0.00001255638,0.00005334108,0.00002467119,0.9900039,0.003226779,0.006056364,0.0003392527,0.00001051708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05394619,0.0002293923,0.9416777,0.0002015553,0.00006327082,0.00004957476,0.00002423036,0.0001753684,0.003632688],"genre_scores_gemma":[0.9872671,0.0001017838,0.01156286,0.00003670243,0.00001983098,0.00003043031,0.00001070485,0.000009483932,0.0009611346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001472642,"threshold_uncertainty_score":0.004926503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02558393129006575,"score_gpt":0.2512125245384488,"score_spread":0.225628593248383,"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."}}