{"id":"W2071414521","doi":"10.1023/b:jota.0000042599.46775.a9","title":"Robust H∞ Filtering for a Class of Nonlinear Discrete-Time Markovian Jump Systems","year":2004,"lang":"en","type":"article","venue":"Journal of Optimization Theory and Applications","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Nonlinear system; Control theory (sociology); Filtering problem; Lipschitz continuity; Theory of computation; Filter (signal processing); Discrete time and continuous time; Applied mathematics; Jump; Bounded function; Norm (philosophy); Markov process; Mathematical analysis; Kalman filter; Computer science; Algorithm; Extended Kalman filter","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":[0.0008642829,0.0007621839,0.001368935,0.0006339052,0.0005614362,0.001466964,0.0008640259,0.001276702,0.001369862],"category_scores_gemma":[0.002196755,0.0003314597,0.0009315494,0.0004317891,0.0008540872,0.0009998174,0.0006623757,0.0008481863,0.0001610291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006951208,"about_ca_system_score_gemma":0.0006032984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003078121,"about_ca_topic_score_gemma":0.001808834,"domain_scores_codex":[0.9995409,0.00005211716,0.00003322798,0.0001269363,0.000175828,0.00007094751],"domain_scores_gemma":[0.9989058,0.000559031,0.0002550561,0.00008000265,0.0001561911,0.00004391035],"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":[0.0005553264,0.0002993954,0.003372867,0.0004981587,0.0003309999,0.0006144354,0.0003310325,0.6122152,0.03956378,0.2466246,0.002192134,0.0934021],"study_design_scores_gemma":[0.00001418573,0.0000396843,0.0004936401,0.000005360145,0.00001626779,0.00004778676,0.000009004249,0.9879379,0.0009375361,0.01010041,0.0003879464,0.00001035013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1498756,0.0008924003,0.8431197,0.0004660993,0.00009511141,0.00005102681,0.0001379415,0.0003385881,0.005023464],"genre_scores_gemma":[0.9810296,0.0005944847,0.01459633,0.00007172835,0.0001273371,0.0000483924,0.0001614388,0.00002534047,0.00334535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003078121,"threshold_uncertainty_score":0.006120443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00881651396054664,"score_gpt":0.211560146234998,"score_spread":0.2027436322744514,"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."}}