{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005109186,0.0006868627,0.0005936827,0.0004194961,0.000449111,0.0007838144,0.0007748363,0.0005971435,0.004051891],"category_scores_gemma":[0.0007947512,0.0003144637,0.0004567115,0.0003618792,0.000511169,0.0004223404,0.0006517246,0.0008176858,0.0007891859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006016432,"about_ca_system_score_gemma":0.00100414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001975957,"about_ca_topic_score_gemma":0.002211417,"domain_scores_codex":[0.9995027,0.00006456744,0.00003454254,0.0001063638,0.0002454136,0.00004635882],"domain_scores_gemma":[0.9995717,0.00008934674,0.00005025303,0.00009756412,0.0001779582,0.00001317721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001385215,0.00006440003,0.0002631412,0.0002582374,0.00004616463,0.00009695474,0.0001597255,0.7168918,0.07947966,0.04299804,0.002329972,0.1572734],"study_design_scores_gemma":[0.00003263469,0.0001159384,0.0001413112,0.00003051008,0.00001399018,0.00004003725,0.00001881935,0.9456799,0.037742,0.006026837,0.01014053,0.00001754103],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00860295,0.0001328905,0.9714575,0.00005822951,0.0000413527,0.00009942491,0.00004955268,0.0005811493,0.01897705],"genre_scores_gemma":[0.5650012,0.0002705315,0.4241551,0.0001330164,0.00004223769,0.0003938215,0.0002441954,0.0001506855,0.009609129],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004051891,"threshold_uncertainty_score":0.01355493,"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."}}