{"id":"W4390637149","doi":"10.1177/01423312231201676","title":"LuGre model–based robust adaptive control for a pump-controlled hydraulic actuator experiencing friction","year":2024,"lang":"en","type":"article","venue":"Transactions of the Institute of Measurement and Control","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Control theory (sociology); Robustness (evolution); Adaptive control; Parametric statistics; Actuator; Robust control; Feed forward; Lyapunov function; Attenuation; Compensation (psychology); Engineering; Computer science; Control engineering; Control system; Mathematics; Control (management); Nonlinear system; 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":[0.0004901325,0.0007104811,0.0007065571,0.0002533326,0.0003142207,0.0007375052,0.0009264285,0.0006992089,0.0009944044],"category_scores_gemma":[0.0006300056,0.0003035108,0.0005961807,0.0002094026,0.0005035055,0.0006540745,0.0008798258,0.0006563556,0.0002194745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003775594,"about_ca_system_score_gemma":0.0005087519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00317747,"about_ca_topic_score_gemma":0.002770138,"domain_scores_codex":[0.9997126,0.00004805253,0.00001899943,0.00008876189,0.00009601203,0.00003556025],"domain_scores_gemma":[0.999791,0.00005944492,0.00005637414,0.0000252291,0.00005992521,0.000008017269],"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":[0.0002140426,0.00007349504,0.0005517327,0.0003127685,0.0001218749,0.0002535246,0.0002160974,0.8307836,0.06410087,0.01218059,0.0009980275,0.09019338],"study_design_scores_gemma":[0.000008359919,0.00009264532,0.0001167073,0.000005199478,0.00001025373,0.00002410077,0.000006426544,0.9965695,0.002004404,0.0004135537,0.0007412743,0.000007514079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01926929,0.0003028009,0.9775257,0.00007884304,0.00004601445,0.00002291076,0.00001181279,0.0003871623,0.002355626],"genre_scores_gemma":[0.9664429,0.0002562097,0.02988324,0.00007421253,0.00003194512,0.00008023132,0.00003795885,0.00003088018,0.003162638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00317747,"threshold_uncertainty_score":0.006317914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03039748834674361,"score_gpt":0.2105806893116539,"score_spread":0.1801832009649103,"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."}}