{"id":"W3017977116","doi":"10.1016/j.nahs.2020.100907","title":"Integral Input-to-State Stability of Nonlinear Time-Delay Systems with Delay-Dependent Impulse Effects","year":2019,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Queen's University","keywords":"Impulse (physics); Control theory (sociology); Nonlinear system; Group delay and phase delay; State (computer science); State dependent; Stability (learning theory); Impulse response; Computer science; Mathematics; Physics; Mathematical analysis; Algorithm; Telecommunications; Classical mechanics; Control (management); Quantum mechanics; Bandwidth (computing)","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":[0.0003232981,0.0003554264,0.0003294249,0.0002286933,0.0002803804,0.0004564262,0.000262656,0.0002930664,0.0006265998],"category_scores_gemma":[0.001132417,0.0001035369,0.000284553,0.0001983209,0.0006005115,0.0003804374,0.0005399346,0.0004840454,0.0000628985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004364981,"about_ca_system_score_gemma":0.0003408842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002335647,"about_ca_topic_score_gemma":0.001028189,"domain_scores_codex":[0.9998117,0.00003718882,0.00001104208,0.00003275798,0.00007626611,0.00003099532],"domain_scores_gemma":[0.9995304,0.0002475716,0.00010115,0.00002444707,0.00007645706,0.00001987795],"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":[0.0002556235,0.00003960388,0.002541855,0.0002101252,0.00009036487,0.000418794,0.0005461666,0.8834721,0.04121049,0.04501992,0.0002253928,0.02596945],"study_design_scores_gemma":[0.000005593726,0.00006268468,0.0005198601,0.000007951372,0.00001498389,0.00004174852,0.00004112668,0.9900653,0.003936257,0.004988792,0.0003082154,0.000007480701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.330536,0.0006307194,0.6579441,0.0001822576,0.00005811515,0.000024967,0.0000370067,0.0001838855,0.01040301],"genre_scores_gemma":[0.9969333,0.0001027043,0.002148657,0.000007258437,0.000006689656,0.000008808074,0.000007461698,0.000004029678,0.0007811243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002335647,"threshold_uncertainty_score":0.004644156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223441106506093,"score_gpt":0.1472415771746847,"score_spread":0.1350071661096238,"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."}}