{"id":"W4414229484","doi":"10.1109/access.2025.3610061","title":"Adaptive 2-DOF Control for Tracking Sinusoidal Signals With Unknown Frequency","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Western University","keywords":"Control theory (sociology); Transfer function; Harmonics; Controller (irrigation); Tracking (education); Filter (signal processing); Internal model; SIGNAL (programming language); Low-pass filter; Tracking error","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":[0.0002694689,0.0004295906,0.0002711396,0.0002592576,0.0002231666,0.0003114794,0.0004456216,0.0002406532,0.001733254],"category_scores_gemma":[0.0005703124,0.0001189096,0.0002783744,0.000191955,0.0002333398,0.0002698278,0.0003680222,0.0003415935,0.0003927095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002269927,"about_ca_system_score_gemma":0.0002585499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001537601,"about_ca_topic_score_gemma":0.003169914,"domain_scores_codex":[0.9998331,0.00002507569,0.0000078582,0.00004701459,0.00006997915,0.00001688826],"domain_scores_gemma":[0.9998624,0.00003826766,0.0000331136,0.00002406728,0.00003307756,0.000008974763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002670168,0.0000964791,0.001636297,0.0003573901,0.00006290678,0.000155024,0.0003144805,0.2181753,0.172572,0.03410082,0.003529774,0.5687325],"study_design_scores_gemma":[0.00003410629,0.0002464385,0.001242709,0.00002271882,0.00001607853,0.000115963,0.00001577193,0.9637336,0.01818489,0.002852576,0.01350701,0.00002822796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01138804,0.0002122965,0.984727,0.00003277138,0.00005681774,0.00002245363,0.00002103779,0.0004211657,0.003118347],"genre_scores_gemma":[0.8082454,0.0004587916,0.1813049,0.0001053338,0.00009935917,0.0001212096,0.0001071634,0.00006461745,0.009493274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001733254,"threshold_uncertainty_score":0.00579828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165974215367291,"score_gpt":0.2710547156171083,"score_spread":0.2544572940803792,"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."}}