{"id":"W2785536324","doi":"10.1137/16m1066683","title":"Multiobjective $\\mathcal{H}_2$/$\\mathcal{H}_\\infty$ Control Design Subject to Multiplicative Input Dependent Noises","year":2018,"lang":"en","type":"article","venue":"SIAM Journal on Control and Optimization","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Multiplicative function; Mathematics; Multiplicative noise; Diagonal; Bounded function; Nash equilibrium; Optimal control; Algebraic number; Matrix (chemical analysis); Algebraic Riccati equation; Riccati equation; Control (management); Applied mathematics; Discrete mathematics; Control theory (sociology); Mathematical optimization; Mathematical analysis; Computer science; Differential equation","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001687386,0.001952787,0.001042616,0.0006300618,0.0003467143,0.001376319,0.001072499,0.001263373,0.0009085737],"category_scores_gemma":[0.002027049,0.0005356736,0.0007679021,0.0004694866,0.0009647328,0.0007493758,0.001434014,0.0007647258,0.0001462977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008193053,"about_ca_system_score_gemma":0.0008575786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002785502,"about_ca_topic_score_gemma":0.00199547,"domain_scores_codex":[0.9990952,0.0003003633,0.0000385256,0.0002373098,0.0002223682,0.0001062833],"domain_scores_gemma":[0.9990215,0.0005174212,0.0002170238,0.00004374965,0.0001612922,0.00003910329],"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":[0.00004989506,0.00002884245,0.0002140348,0.0001008175,0.00005905181,0.0000648211,0.00003509548,0.9797474,0.003549186,0.008748881,0.0001226348,0.007279371],"study_design_scores_gemma":[0.000006257975,0.00007489112,0.00008603301,0.000005091372,0.0000101336,0.000008216646,0.000006709724,0.9976038,0.0006102857,0.001438203,0.0001455855,0.00000481038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02180607,0.0002529176,0.9744022,0.0001156675,0.00003190987,0.0000572876,0.0000261123,0.00005892578,0.003248888],"genre_scores_gemma":[0.950875,0.0003135307,0.04442674,0.0001103,0.00004439709,0.0002206724,0.00005569727,0.00003062273,0.003922928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002785502,"threshold_uncertainty_score":0.008923888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110352456932784,"score_gpt":0.2258262904068089,"score_spread":0.2147227658374811,"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."}}