{"id":"W2067607103","doi":"10.1109/cimsa.2011.6059915","title":"Low-cost optimal state feedback fuzzy control of nonlinear second-order servo systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"European Social Fund; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii","keywords":"Control theory (sociology); Servomechanism; Fuzzy control system; Nonlinear system; Fuzzy logic; Linear-quadratic regulator; Servo; Compensation (psychology); Computer science; Control engineering; Position (finance); Engineering; Optimal control; Mathematics; Control (management); Mathematical optimization","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":[0.0005925484,0.0006224449,0.0007191645,0.0002424528,0.0004650468,0.001192749,0.0005016166,0.0005634894,0.001231151],"category_scores_gemma":[0.001186477,0.0002527912,0.0002236853,0.0002596549,0.0006541686,0.0004765977,0.0004097114,0.0006034732,0.0001691593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000744041,"about_ca_system_score_gemma":0.0009224733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006154194,"about_ca_topic_score_gemma":0.006924911,"domain_scores_codex":[0.9996293,0.00008788442,0.00001650386,0.00004823373,0.0001684083,0.00004980594],"domain_scores_gemma":[0.9996845,0.0001603674,0.00004863757,0.00001544686,0.00007784963,0.00001328365],"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":[0.0002648078,0.00007070768,0.0003195282,0.0002726158,0.0000331289,0.0001720575,0.000194606,0.8766897,0.01682359,0.02194503,0.0008141413,0.08240012],"study_design_scores_gemma":[0.00002083342,0.00007369828,0.0001911331,0.000007315366,0.000008310324,0.00001535693,0.00001626518,0.9944702,0.001986784,0.002647372,0.0005563463,0.000006455012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09420013,0.001060158,0.8942341,0.0003101629,0.0001192173,0.00005846236,0.00003285489,0.0003298777,0.009655057],"genre_scores_gemma":[0.9833067,0.0001818373,0.01454024,0.00002174344,0.00001846969,0.0000397366,0.00001391154,0.00001041359,0.001866838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006154194,"threshold_uncertainty_score":0.01223671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628032525237092,"score_gpt":0.2053680533208325,"score_spread":0.1890877280684616,"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."}}