{"id":"W2135453443","doi":"10.1109/iciea.2009.5138166","title":"An improved LMI approach for Static Output Feedback Fault-Tolerant Control with application to flight tracking control","year":2009,"lang":"en","type":"article","venue":"","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Linear matrix inequality; Output feedback; Tracking (education); Variable (mathematics); Computer science; Fault tolerance; Nonlinear system; Control (management); Matrix (chemical analysis); Mathematical optimization; Mathematics","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":[0.0004382317,0.0008621571,0.000530071,0.0004902752,0.0003542794,0.0004587209,0.0007764521,0.0004672821,0.003519339],"category_scores_gemma":[0.0006945828,0.0002232252,0.000441881,0.0003802695,0.0003646069,0.0005686036,0.0003579161,0.001006233,0.0006031403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005446707,"about_ca_system_score_gemma":0.0004547203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00126791,"about_ca_topic_score_gemma":0.001459992,"domain_scores_codex":[0.9996889,0.00004926784,0.00002130698,0.00005055432,0.0001664043,0.00002359926],"domain_scores_gemma":[0.9998202,0.00005932014,0.00002398611,0.00001593902,0.00007528613,0.000005368824],"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":[0.00008288434,0.00006980055,0.0002120345,0.0004446777,0.00005114515,0.0002221319,0.0002277579,0.5590145,0.04713603,0.08614505,0.004750867,0.3016431],"study_design_scores_gemma":[0.00001063354,0.00009513284,0.00008816113,0.00001835416,0.00001079584,0.00005707271,0.00001095142,0.9804745,0.004981793,0.00722721,0.007012649,0.00001272616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001062834,0.0001439213,0.9955259,0.00005857061,0.00003573415,0.0000148715,0.00001510307,0.0001664056,0.002976614],"genre_scores_gemma":[0.4938209,0.0009953635,0.4962709,0.0002488162,0.0002637071,0.0003321375,0.0002413482,0.0001823372,0.007644432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003519339,"threshold_uncertainty_score":0.01177335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007313320367421729,"score_gpt":0.2161807749349953,"score_spread":0.2088674545675736,"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."}}