{"id":"W2547316716","doi":"10.1049/ip-cta:20050051","title":"<i>H</i> <sub>∞</sub> optimal sampled-data state observer design","year":2006,"lang":"en","type":"article","venue":"IEE Proceedings - Control Theory and Applications","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Observer (physics); State observer; Control theory (sociology); Computer science; State (computer science); LTI system theory; Invariant (physics); Linear system; Mathematical optimization; Algorithm; Mathematics; Artificial intelligence; Control (management); Nonlinear system","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":[0.0006161988,0.0005067748,0.0006629099,0.0002484441,0.0001683743,0.0006199426,0.0006409101,0.0006045296,0.001539063],"category_scores_gemma":[0.001173278,0.0002559071,0.0003480283,0.0002306281,0.000612886,0.0007222043,0.0005220962,0.0008177446,0.0003319992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004102333,"about_ca_system_score_gemma":0.000756576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006445358,"about_ca_topic_score_gemma":0.0006838503,"domain_scores_codex":[0.9996766,0.00007120517,0.00002368288,0.00006347728,0.0001369105,0.00002806435],"domain_scores_gemma":[0.9996172,0.0001220471,0.00007176553,0.00005945749,0.0001152981,0.00001421311],"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":[0.0005520534,0.0001147173,0.00108485,0.001046733,0.0000803228,0.0002900738,0.0002319067,0.4983064,0.07135322,0.1300977,0.003631488,0.2932105],"study_design_scores_gemma":[0.00003485216,0.0001577544,0.0002568371,0.00002590974,0.00001431919,0.00007011492,0.00002333139,0.9603026,0.02417899,0.01172529,0.003195564,0.00001445954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002606495,0.00009635841,0.9964347,0.0000600584,0.00002894018,0.0000297259,0.00002287702,0.0001278012,0.0005929926],"genre_scores_gemma":[0.6096603,0.0006748828,0.3856204,0.0001289556,0.00007653097,0.0004112705,0.0002142341,0.00006411646,0.003149409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001539063,"threshold_uncertainty_score":0.005148649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234102067782338,"score_gpt":0.2091239990136988,"score_spread":0.1967829783358754,"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."}}