{"id":"W4391251492","doi":"10.3390/electronics13030515","title":"Adaptive Event-Based Dynamic Output Feedback Control for Unmanned Marine Vehicle Systems under Denial-of-Service Attack","year":2024,"lang":"en","type":"article","venue":"Electronics","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Zhejiang Sci-Tech University; National Natural Science Foundation of China","keywords":"Denial-of-service attack; Event (particle physics); Feedback control; Computer science; Control (management); Service (business); Adaptive control; Denial; Computer security; Control engineering; Engineering; Aeronautics; Real-time computing; Control theory (sociology); Simulation; Psychology; Artificial intelligence; Business; Operating system; Physics","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":[0.0004904147,0.0005700141,0.000464881,0.0002042249,0.0003184434,0.0006920829,0.000750487,0.0004141773,0.0007325847],"category_scores_gemma":[0.0007271614,0.0001654318,0.000300331,0.0002113801,0.0003988063,0.0003503618,0.0005840923,0.0005078759,0.0001001946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003749136,"about_ca_system_score_gemma":0.0005260384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003399165,"about_ca_topic_score_gemma":0.002511063,"domain_scores_codex":[0.999551,0.0000765415,0.00003152067,0.0001228245,0.000151015,0.00006706252],"domain_scores_gemma":[0.999701,0.00008440222,0.00008882166,0.00001899259,0.00009213365,0.00001471443],"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":[0.0002749389,0.00008732646,0.0009473065,0.0002896311,0.00006934407,0.0003133051,0.0002201438,0.8857597,0.03366507,0.008455625,0.000753583,0.06916411],"study_design_scores_gemma":[0.00001729301,0.0001629163,0.0003259823,0.000008095885,0.00001305752,0.00002479931,0.00001691353,0.9959217,0.002304073,0.0006139734,0.000585321,0.000005809787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06181005,0.0005499173,0.9325377,0.0001581614,0.0001137389,0.00005891288,0.00002474058,0.0003540601,0.004392645],"genre_scores_gemma":[0.9925309,0.0001319505,0.006367888,0.00002958963,0.00001763643,0.00003845963,0.00001526424,0.000005435614,0.0008628554],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003399165,"threshold_uncertainty_score":0.006758749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275745062385305,"score_gpt":0.238358565470072,"score_spread":0.2256011148462189,"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."}}