{"id":"W2128528165","doi":"10.1109/iembs.1998.746131","title":"Robust identification of time-varying system dynamics with non-white inputs and output noise","year":2002,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Medical Research Council","keywords":"Moore–Penrose pseudoinverse; Autocorrelation; Autocorrelation matrix; Algorithm; Computer science; Impulse response; White noise; Control theory (sociology); Noise (video); System identification; Mathematics; Statistics; Inverse; Artificial intelligence; Telecommunications; Data modeling","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001292594,0.0001020479,0.0001691836,0.0001007721,0.00003965116,0.0000625316,0.0000665772,0.00005096948,0.00001396796],"category_scores_gemma":[0.000004558187,0.00009076591,0.00002216541,0.0001397388,0.00001500485,0.000185712,0.00001045873,0.00004688886,0.00006132332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007275366,"about_ca_system_score_gemma":0.000002310083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003967747,"about_ca_topic_score_gemma":0.00003953078,"domain_scores_codex":[0.9992764,0.00001089452,0.0003292857,0.0001461998,0.0001275837,0.0001096546],"domain_scores_gemma":[0.9995569,0.00001291181,0.00008127233,0.0002344241,0.00007326412,0.00004124892],"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":[0.00004538646,0.0001613515,0.0269303,0.005187853,0.0004922869,0.00001334033,0.003377205,0.7456639,0.1790405,0.001619128,0.005227967,0.03224077],"study_design_scores_gemma":[0.00028403,0.00001116499,0.005954614,0.00008853346,0.00002672719,0.00001094944,0.0000769018,0.9925632,0.0008364919,9.768768e-7,0.00003758086,0.000108814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.552495,0.0003469969,0.4254878,0.00009878196,0.0002980669,0.0006223224,0.00002315631,0.0004154145,0.02021247],"genre_scores_gemma":[0.9958285,0.00001458341,0.0002563254,0.00000232789,0.00003391479,0.00001827122,0.0000123364,0.00002205636,0.003811676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4433335,"threshold_uncertainty_score":0.3701326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007553652175939316,"score_gpt":0.1568570176329394,"score_spread":0.1493033654570001,"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."}}