{"id":"W4411255100","doi":"10.1016/j.automatica.2025.112434","title":"Robust MPC with event-triggered learning for unknown linear time-varying systems","year":2025,"lang":"en","type":"article","venue":"Automatica","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Control theory (sociology); Linear system; Computer science; Event (particle physics); Mathematics; Artificial intelligence; Control (management); Physics","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":[0.0008932034,0.0008482517,0.0007035868,0.0002329474,0.0002689896,0.0007069366,0.0009748385,0.0007325222,0.001224681],"category_scores_gemma":[0.001667685,0.0002379522,0.000551205,0.0003645781,0.0006154862,0.0006917017,0.0009312105,0.00108401,0.0001526165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004705402,"about_ca_system_score_gemma":0.0005421842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002545744,"about_ca_topic_score_gemma":0.001423299,"domain_scores_codex":[0.99945,0.0001391901,0.00003025508,0.0001410612,0.0001694909,0.0000698682],"domain_scores_gemma":[0.9993548,0.0003098711,0.0001487986,0.0000841764,0.00008088391,0.00002153228],"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":[0.00006591294,0.00003139336,0.0001058,0.00006264931,0.00001675193,0.00006841141,0.00002828704,0.9738313,0.002946105,0.004523043,0.0001702084,0.0181502],"study_design_scores_gemma":[0.000004640803,0.00003036681,0.00005044527,0.000001694649,0.000002125256,0.000006127444,0.000001684128,0.9981377,0.0008323558,0.0007686306,0.0001620075,0.000002228887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01847128,0.0002296939,0.9791784,0.00006747653,0.00002852655,0.00003118897,0.00002549141,0.0003466311,0.001621275],"genre_scores_gemma":[0.9610783,0.0001546189,0.03732437,0.00003831548,0.00002293245,0.00007313729,0.00005839115,0.00002674382,0.001223109],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002545744,"threshold_uncertainty_score":0.005061924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006953914180152483,"score_gpt":0.2137063889036541,"score_spread":0.2067524747235016,"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."}}