{"id":"W2944703700","doi":"10.1002/rnc.4581","title":"Iterative ‐conic controller synthesis","year":2019,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Conic section; Conic optimization; Control theory (sociology); Norm (philosophy); Mathematical optimization; Controller (irrigation); Convex optimization; Linear matrix inequality; Mathematics; Regular polygon; Computer science; Control (management); Convex combination","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":[0.0003585038,0.0001325765,0.0003705873,0.0001357199,0.00001827801,0.000086636,0.0002252,0.00006792649,0.0001585394],"category_scores_gemma":[0.0001193226,0.0001054802,0.0001531553,0.00003894201,0.00002866905,0.0002512427,0.0000111549,0.0001842802,0.00003185695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006231453,"about_ca_system_score_gemma":0.00003256059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000502773,"about_ca_topic_score_gemma":0.000004571654,"domain_scores_codex":[0.9989591,0.00004990837,0.0004551457,0.00009269257,0.0003067785,0.0001363789],"domain_scores_gemma":[0.998849,0.0004718194,0.0001392714,0.00007271131,0.0003912031,0.00007596505],"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":[0.009058774,0.0006343512,0.119003,0.0003053219,0.01547395,0.0004808816,0.003171458,0.5725812,0.07474953,0.005819464,0.003760212,0.1949618],"study_design_scores_gemma":[0.01646089,0.0003794751,0.007103431,0.0004204289,0.0002142681,0.0004410165,0.0006484162,0.9277483,0.001178425,0.0003861709,0.04448158,0.0005376078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9660912,0.004217281,0.01975258,0.001926886,0.003799772,0.0003873839,0.00008830062,0.00006248388,0.003674143],"genre_scores_gemma":[0.9984228,0.0001026482,0.0004767319,0.0001648583,0.0007061228,0.000005126584,9.197475e-7,0.00001488634,0.0001058843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3551671,"threshold_uncertainty_score":0.4301357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006551281135131083,"score_gpt":0.2046942384454427,"score_spread":0.1981429573103116,"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."}}