{"id":"W2096799782","doi":"10.1115/1.2807181","title":"Tracking Control of Hydraulic Actuators Using a LuGre Friction Model Compensation","year":2008,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Control theory (sociology); Hydraulic cylinder; Actuator; Controller (irrigation); Compensation (psychology); Hydraulic machinery; Nonlinear system; Control engineering; Electro-hydraulic actuator; Observer (physics); Parametric statistics; Acceleration; Hydraulic motor; Displacement (psychology); Engineering; Computer science; Control (management); Mathematics; Mechanical engineering; Physics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002609904,0.0002966093,0.0003505863,0.0001536208,0.000249555,0.0004336245,0.0004865939,0.0003790234,0.0005605537],"category_scores_gemma":[0.0004206829,0.0001538067,0.0002197861,0.0001365187,0.0002707137,0.0004244088,0.0004383568,0.0002642469,0.0001844091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002681607,"about_ca_system_score_gemma":0.0003065609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001621043,"about_ca_topic_score_gemma":0.001864171,"domain_scores_codex":[0.9998747,0.00001930573,0.000008505127,0.00003021804,0.00005220348,0.00001507959],"domain_scores_gemma":[0.9998544,0.00003757286,0.00004372608,0.00002342529,0.00003259966,0.000008161129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003804091,0.0001659445,0.0009812738,0.0003127773,0.00007382505,0.0003795796,0.0003305143,0.3616419,0.4250736,0.01006089,0.001144084,0.1994551],"study_design_scores_gemma":[0.00002804079,0.0003056331,0.0008188545,0.00001127267,0.00001620634,0.0001188277,0.00001325731,0.9642339,0.03062709,0.0006744046,0.003133969,0.0000186515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1105397,0.0005228203,0.8838756,0.0001185817,0.00006999729,0.00003781253,0.00002334272,0.0007892055,0.004022905],"genre_scores_gemma":[0.9745223,0.0001795678,0.02225246,0.00003096716,0.00001747082,0.00002617169,0.00002347302,0.00001250031,0.002935195],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001621043,"threshold_uncertainty_score":0.00322324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03341286593990397,"score_gpt":0.213080257351639,"score_spread":0.179667391411735,"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."}}