{"id":"W4220799614","doi":"10.3390/s22072644","title":"Resilient Consensus Control Design for DC Microgrids against False Data Injection Attacks Using a Distributed Bank of Sliding Mode Observers","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Microgrid; Converters; Mode (computer interface); Control theory (sociology); Computer science; Engineering; Voltage; Control (management); 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":[],"consensus_categories":[],"category_scores_codex":[0.0004695211,0.0001794093,0.0002809652,0.0001131299,0.0002948721,0.00002228882,0.0003170308,0.00007237402,0.000006473159],"category_scores_gemma":[0.0001832684,0.0002002572,0.00008582897,0.0003196998,0.00006159203,0.00006645257,0.0001101437,0.0002187318,9.944662e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997388,"about_ca_system_score_gemma":0.00005937004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008557016,"about_ca_topic_score_gemma":0.00002336404,"domain_scores_codex":[0.9985575,0.0001608652,0.0003681697,0.0003223158,0.0002320841,0.0003590362],"domain_scores_gemma":[0.9989154,0.0003614511,0.00009492616,0.0004884886,0.00006492883,0.00007482699],"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":[0.000166289,0.00003505958,0.0003450142,0.00007653362,0.00007502079,0.00001185599,0.0003168508,0.9193892,0.07791966,0.00002772601,0.001483209,0.0001535076],"study_design_scores_gemma":[0.00101915,0.00008555544,0.0001621214,0.00003184317,0.00006367748,0.00002848708,0.001205876,0.9780293,0.01714679,0.00002059982,0.001980117,0.0002265488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592893,0.000368964,0.03658018,0.00004560817,0.0008031224,0.0006100563,0.002147018,0.0001422166,0.00001356823],"genre_scores_gemma":[0.9972915,0.00002396472,0.002267537,0.00002624919,0.00007969345,0.00001978213,0.0002478549,0.00003457024,0.000008816799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06077287,"threshold_uncertainty_score":0.8166252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05552465189172685,"score_gpt":0.2764825033854066,"score_spread":0.2209578514936798,"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."}}