{"id":"W7123348262","doi":"10.1109/cdc57313.2025.11312392","title":"On Stability of Koopman Operator-Based Output-Driven Control","year":2025,"lang":"","type":"article","venue":"","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Stability (learning theory); Nonlinear system; Observer (physics); Quadratic equation; Residual; Truncation (statistics); Stability conditions; Operator (biology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000180638,0.0003109566,0.0005500235,0.00009708112,0.0001597153,0.00005630327,0.0002410016,0.000111818,0.004019711],"category_scores_gemma":[0.00001124016,0.0002711214,0.0003550212,0.0002873197,0.0001741621,0.00007497019,0.00004212624,0.0003535549,0.00005017443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005370652,"about_ca_system_score_gemma":0.0003446283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008945627,"about_ca_topic_score_gemma":0.00000507673,"domain_scores_codex":[0.9980665,0.000221137,0.0006314032,0.0005207223,0.000210137,0.0003501232],"domain_scores_gemma":[0.9986477,0.0002359081,0.0001526287,0.0006099109,0.0002096767,0.0001441021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002282273,0.005393487,0.05790427,0.0003085846,0.0009453018,0.000001872619,0.0001944575,0.1527279,0.00693742,0.6822362,0.01887481,0.07219341],"study_design_scores_gemma":[0.01157388,0.001023286,0.00432602,0.0004552881,0.0003530218,9.695929e-8,0.000530855,0.8644609,0.099283,0.003659111,0.01345518,0.0008793412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7619211,0.00008691176,0.1785249,0.003232039,0.001365479,0.00113099,0.000147015,0.00004425412,0.05354729],"genre_scores_gemma":[0.9964464,0.00000382331,0.00009988237,0.0008870185,0.0001441565,0.00003073258,0.00001736376,0.00001404527,0.002356523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.711733,"threshold_uncertainty_score":0.9999741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704085260083045,"score_gpt":0.260645462528139,"score_spread":0.2436046099273085,"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."}}