{"id":"W2155281039","doi":"10.1017/s0263574710000159","title":"A novel iteration-based controller for hybrid machine systems for trajectory tracking at the end-effector level","year":2010,"lang":"en","type":"article","venue":"Robotica","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Toronto Metropolitan University","funders":"","keywords":"Control theory (sociology); Servomotor; Flexibility (engineering); Controller (irrigation); Computer science; Control engineering; Trajectory; Motor controller; Electric motor; Servomechanism; Tracking (education); DC motor; Servo; Power (physics); Engineering; Artificial intelligence; Control (management); Mathematics","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":[0.0007257058,0.0002878478,0.0004209581,0.00008179191,0.0003223138,0.0002204422,0.0002063441,0.0001099522,0.00003581842],"category_scores_gemma":[0.0004091904,0.0002132193,0.0002246179,0.000067472,0.00005047242,0.00009717506,0.0000101059,0.0003121639,0.00002772292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117164,"about_ca_system_score_gemma":0.00003874407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003134615,"about_ca_topic_score_gemma":0.000152487,"domain_scores_codex":[0.9986191,0.00007021945,0.0004025627,0.0002825127,0.0001961117,0.0004294822],"domain_scores_gemma":[0.9970897,0.002254577,0.000094537,0.0003083244,0.0001706782,0.00008216181],"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":[0.0001241311,0.000035961,0.0001625126,0.0003296592,0.0001592554,0.000001048996,0.0001849308,0.5665126,0.4282422,0.001330985,0.001816721,0.001100014],"study_design_scores_gemma":[0.00357243,0.00008849127,0.0007270245,0.00006094914,0.00006728029,0.00001615535,0.000007424293,0.970552,0.004058337,0.000005347801,0.02058048,0.0002640347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008176365,0.0005441046,0.9842811,0.0003488068,0.002357707,0.003149337,0.0006665548,0.0002798604,0.0001962238],"genre_scores_gemma":[0.994012,4.827226e-7,0.002460235,0.0001192328,0.0008940366,0.001395396,0.0001408689,0.0001096008,0.0008681579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9858356,"threshold_uncertainty_score":0.869483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220737868808398,"score_gpt":0.2403684805187986,"score_spread":0.2181611018307147,"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."}}