{"id":"W4385823704","doi":"10.1016/j.automatica.2023.111229","title":"Event-triggered adaptive prescribed-time control for nonlinear systems with uncertain time-varying parameters","year":2023,"lang":"en","type":"article","venue":"Automatica","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Universität Duisburg-Essen; Ontario Ministry of Research and Innovation; National Natural Science Foundation of China; Carleton University; Alexander von Humboldt-Stiftung","keywords":"Control theory (sociology); Interval (graph theory); Nonlinear system; Control (management); Event (particle physics); Computer science; Stability (learning theory); Adaptive control; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004689758,0.0004548422,0.0003895882,0.0001628581,0.0002724069,0.0005939847,0.000654212,0.0005010114,0.001432864],"category_scores_gemma":[0.001546628,0.0001404669,0.0002842501,0.0001700782,0.000538445,0.0004296979,0.0006722906,0.0005950352,0.0001084693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003104986,"about_ca_system_score_gemma":0.0003903641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002030624,"about_ca_topic_score_gemma":0.001679835,"domain_scores_codex":[0.9997126,0.00006235253,0.00001515354,0.0000650514,0.0001004582,0.00004436265],"domain_scores_gemma":[0.9994751,0.0002590651,0.00009521007,0.00004141035,0.00009948722,0.00002974464],"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":[0.0007404366,0.0001078149,0.0006469666,0.0001767044,0.00006402691,0.0003753746,0.0002105316,0.8879752,0.02343625,0.02660475,0.0009842353,0.05867771],"study_design_scores_gemma":[0.00001256747,0.00004473378,0.0001339418,0.000002782219,0.000004190174,0.00001284688,0.000003661879,0.9967802,0.00107091,0.00169934,0.0002314182,0.000003411916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06755067,0.0002031761,0.9277629,0.0001135202,0.0001525907,0.00004158211,0.00003068108,0.000366339,0.003778615],"genre_scores_gemma":[0.9928958,0.0000500778,0.006110377,0.0000276125,0.00001369265,0.00001924889,0.00001458144,0.00001044342,0.000858203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002030624,"threshold_uncertainty_score":0.004793406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174313663363336,"score_gpt":0.2324038199235603,"score_spread":0.2149724535872267,"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."}}