{"id":"W2142135702","doi":"10.1109/icinfa.2011.5948955","title":"Position domain PD control: Stability and comparison","year":2011,"lang":"en","type":"article","venue":"","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Position (finance); Control theory (sociology); Domain (mathematical analysis); Motion control; Motion (physics); Computer science; Tracking (education); Time domain; Stability (learning theory); Frequency domain; Artificial intelligence; Mathematics; Computer vision; Control (management); Robot; Mathematical analysis","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":[0.0009306552,0.0004013148,0.0004416055,0.0005389351,0.0002809895,0.0007010521,0.0005011074,0.0005880495,0.001797343],"category_scores_gemma":[0.001953105,0.0001087721,0.0002654279,0.0003104903,0.0003608887,0.0006117903,0.0006086062,0.0003926522,0.0001721337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000482607,"about_ca_system_score_gemma":0.0003879812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002060398,"about_ca_topic_score_gemma":0.000800275,"domain_scores_codex":[0.9995638,0.00009091519,0.00002782518,0.00007327036,0.0002183993,0.00002579064],"domain_scores_gemma":[0.9993089,0.0002614019,0.00005617666,0.0000598467,0.0002962195,0.00001728985],"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":[0.001027832,0.0001918185,0.001893408,0.0005690868,0.0001319357,0.0002162997,0.0002561315,0.5931701,0.02535553,0.0365692,0.001486738,0.339132],"study_design_scores_gemma":[0.0000263355,0.0002078652,0.0005234326,0.0000096686,0.00001385765,0.00005041914,0.00001605916,0.992323,0.004249993,0.001523378,0.001044316,0.00001158065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08083215,0.001809487,0.8992026,0.0002035669,0.0001346293,0.0001134933,0.00003909596,0.0003644409,0.01730048],"genre_scores_gemma":[0.9707756,0.0005415247,0.02596996,0.00004851348,0.00002577507,0.00006763198,0.00005172858,0.0000219414,0.002497248],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002060398,"threshold_uncertainty_score":0.006012738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015933649197648,"score_gpt":0.2073871521369935,"score_spread":0.1914535029393455,"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."}}