{"id":"W2160818152","doi":"10.1109/icsmc.2004.1401358","title":"A robust feedback linearization force control of a pneumatic actuator","year":2005,"lang":"en","type":"article","venue":"","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Actuator; Control theory (sociology); Feedback linearization; Pneumatic actuator; Linearization; Robust control; Computer science; Control engineering; Control (management); Feedback control; Control system; Engineering; Nonlinear system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001160458,0.00009353553,0.0002015153,0.00004524822,0.00001502603,0.00001261076,0.00007938352,0.00005839912,0.0003284978],"category_scores_gemma":[0.00003339795,0.00007913435,0.00004393185,0.0001001673,0.00001063061,0.00009381912,0.000004793021,0.00004331311,0.000187543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002669607,"about_ca_system_score_gemma":0.0000101078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001151319,"about_ca_topic_score_gemma":0.00001445731,"domain_scores_codex":[0.9993504,0.00001492674,0.0003184927,0.0000665988,0.0001190101,0.0001305499],"domain_scores_gemma":[0.9996487,0.00007679933,0.00003868003,0.000156094,0.00002943054,0.00005032963],"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":[0.000006145788,0.0000345871,0.0002977613,0.000416527,0.000109041,4.69998e-7,0.001372404,0.9688327,0.01243523,0.0008851744,0.002227545,0.0133824],"study_design_scores_gemma":[0.0004916736,0.00001558552,0.0001797314,0.00005364877,0.00001362988,0.000004880105,0.00007442538,0.9957144,0.001844364,0.0000194289,0.001495771,0.00009244576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08274431,0.000110752,0.8871796,0.0001164493,0.0001346514,0.0002856604,0.000004940656,0.0002470847,0.02917662],"genre_scores_gemma":[0.9956824,0.000009608999,0.003169631,0.0000557417,0.00009828981,0.00001497045,0.000003978626,0.00002010895,0.0009452612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9129381,"threshold_uncertainty_score":0.3596821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191476520041157,"score_gpt":0.1886913696570404,"score_spread":0.1767766044566288,"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."}}