{"id":"W2112976686","doi":"10.1109/acc.2009.5160701","title":"An LMI approach to mixed H<inf>1</inf>/H<inf>∞</inf> robust fault-tolerant control design with uncertainties","year":2009,"lang":"en","type":"article","venue":"","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Concordia University","funders":"","keywords":"Constraint (computer-aided design); Control theory (sociology); Fault tolerance; Computer science; Linear matrix inequality; Fault (geology); Control (management); Algorithm; Mathematics; Mathematical optimization; Artificial intelligence; Distributed computing; Biology","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00278342,0.002578349,0.0034081,0.000929969,0.0008545011,0.001201252,0.002363717,0.001204159,0.0004417417],"category_scores_gemma":[0.0004225007,0.002217653,0.0008597075,0.001777653,0.000461623,0.00160529,0.0001388203,0.001199145,0.0005332046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068299,"about_ca_system_score_gemma":0.0004804745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004273245,"about_ca_topic_score_gemma":0.001879288,"domain_scores_codex":[0.9877315,0.000952461,0.002865658,0.0025479,0.002430813,0.003471632],"domain_scores_gemma":[0.9920915,0.001084801,0.0005253259,0.003505451,0.001065329,0.001727584],"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":[0.002298416,0.001034129,0.0005358335,0.0004550097,0.001166216,0.00007090137,0.004036102,0.913527,0.0442901,0.009312779,0.01413055,0.009142929],"study_design_scores_gemma":[0.02116364,0.004419453,0.006502764,0.0008819957,0.001196577,0.0003850852,0.003565569,0.7659895,0.002672244,0.00132613,0.1837872,0.008109772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1226931,0.00343638,0.8246964,0.001539652,0.0017225,0.007077187,0.0002654412,0.004013898,0.03455541],"genre_scores_gemma":[0.9685632,0.000105387,0.02435099,0.001426974,0.001260935,0.001014553,0.0002095682,0.0004039978,0.002664407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8458701,"threshold_uncertainty_score":0.9998356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159998412240036,"score_gpt":0.2116025066336765,"score_spread":0.1900025225112761,"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."}}