{"id":"W2615837939","doi":"10.1016/s1474-6670(17)40727-0","title":"Robust Synthesis With Antiwindup Compensation for Electrohydraulic Servomechanism","year":2001,"lang":"en","type":"article","venue":"IFAC Proceedings Volumes","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"COM DEV International","funders":"","keywords":"Servomechanism; Control theory (sociology); Compensation (psychology); Robust control; Control engineering; Engineering; Servo; Quadratic equation; Control system; Computer science; Control (management); Mathematics; 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":[0.0003299073,0.0004851815,0.0003914986,0.00020153,0.0002524513,0.0004145532,0.0004061677,0.0004030541,0.00180447],"category_scores_gemma":[0.0006696143,0.000301071,0.0002946788,0.0001326399,0.000306961,0.0003060446,0.0003639917,0.0004059178,0.0003568056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002274537,"about_ca_system_score_gemma":0.0003622674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001103771,"about_ca_topic_score_gemma":0.001626207,"domain_scores_codex":[0.999838,0.00002754005,0.00001118044,0.00003361863,0.00007442184,0.00001528777],"domain_scores_gemma":[0.9998553,0.00005072419,0.00002815521,0.00002147927,0.00003960911,0.000004757099],"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":[0.000313649,0.00008327379,0.0002667664,0.0003569255,0.00007314039,0.0001346599,0.0001903767,0.4841007,0.1625795,0.0486933,0.001903527,0.3013042],"study_design_scores_gemma":[0.00003503585,0.0001937265,0.0002439296,0.00001855125,0.00001900892,0.00003816538,0.00001242062,0.9657395,0.02226733,0.006776117,0.004640339,0.00001573684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009155947,0.0001503189,0.9883376,0.00005278306,0.00004325767,0.0000190291,0.00001159706,0.0002827658,0.001946773],"genre_scores_gemma":[0.7222299,0.0002338354,0.2711751,0.00007969174,0.00006253365,0.000123059,0.00006912879,0.00009869865,0.005928081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00180447,"threshold_uncertainty_score":0.00603658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01375838332029788,"score_gpt":0.1902499639644845,"score_spread":0.1764915806441866,"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."}}