{"id":"W1972937834","doi":"10.1109/cca.2014.6981487","title":"Robust H&lt;inf&gt;&amp;#x221E;&lt;/inf&gt; force control of a solenoid actuator using experimental data and finite element method","year":2014,"lang":"en","type":"article","venue":"","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Actuator; Solenoid; Control theory (sociology); Finite element method; Controller (irrigation); System identification; Robust control; Computer science; Control system; Control engineering; Engineering; Mechanical engineering; Data modeling; Electrical engineering; Control (management); Artificial intelligence; Structural engineering","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":[0.0008239838,0.0007372958,0.0005766118,0.0002627772,0.0001982649,0.0008805513,0.0004871661,0.0006878073,0.002490136],"category_scores_gemma":[0.00193298,0.0002277854,0.0003796555,0.0001951822,0.0005142875,0.0006110479,0.0003589042,0.0004812743,0.0004096208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003249919,"about_ca_system_score_gemma":0.000487164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002912767,"about_ca_topic_score_gemma":0.001639724,"domain_scores_codex":[0.9994351,0.000108935,0.00004140621,0.0001334475,0.0002500531,0.00003092334],"domain_scores_gemma":[0.9990565,0.0004820211,0.0001582004,0.0001258232,0.0001631102,0.00001432521],"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":[0.0003291752,0.00009623892,0.0006441669,0.0004573021,0.00005626215,0.0001366072,0.000111886,0.7616192,0.08752467,0.007967615,0.0007842587,0.1402727],"study_design_scores_gemma":[0.000007346694,0.00005732461,0.0002809541,0.00001185579,0.000004974161,0.0000175477,0.000008083945,0.9881107,0.0101446,0.000669869,0.0006774931,0.000009244341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02656773,0.00024738,0.9697174,0.00006037199,0.0000288386,0.00004030607,0.0000954026,0.0005145777,0.002728063],"genre_scores_gemma":[0.8718466,0.0002525368,0.1249102,0.00003070289,0.00002974898,0.0002101377,0.0003115972,0.00007995623,0.002328626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002912767,"threshold_uncertainty_score":0.008330345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04976747785221258,"score_gpt":0.281573254630648,"score_spread":0.2318057767784354,"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."}}