{"id":"W2166022638","doi":"10.1109/acc.2008.4586830","title":"Discrete-time Markovian jump linear systems with partly unknown transition probabilities: H&lt;inf&gt;&amp;#x221E;&lt;/inf&gt; filtering problem","year":2008,"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":"Polytechnique Montréal","funders":"","keywords":"Lemma (botany); Filter (signal processing); Mathematics; Discrete time and continuous time; Filtering problem; Applied mathematics; Markov process; Control theory (sociology); Stochastic matrix; Coupling (piping); Bounded function; Lyapunov function; Computer science; Discrete mathematics; Filter design; Markov chain; Mathematical analysis; Statistics; Physics; Artificial intelligence","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":[0.00122137,0.0009334765,0.00129141,0.000362784,0.0006215347,0.001742565,0.0007447014,0.001862525,0.003974531],"category_scores_gemma":[0.002775254,0.0004837139,0.0008158809,0.000516044,0.001002492,0.001411797,0.000928437,0.001764691,0.000463489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230221,"about_ca_system_score_gemma":0.001804957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01140814,"about_ca_topic_score_gemma":0.004021181,"domain_scores_codex":[0.9992726,0.0001345417,0.00004266544,0.0002868513,0.000162166,0.0001012445],"domain_scores_gemma":[0.9981083,0.001318317,0.0002329931,0.00006863914,0.0002319633,0.00003982935],"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":[0.0002182114,0.00007153032,0.001227763,0.0005745441,0.00009038176,0.0003942164,0.0002777685,0.8436359,0.004896587,0.09673711,0.002409277,0.04946666],"study_design_scores_gemma":[0.00002847196,0.00004898161,0.0003455525,0.00002034999,0.00002117843,0.00003515707,0.00002664824,0.9825268,0.0009005,0.01521113,0.0008176607,0.000017451],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01595712,0.0005324923,0.9772849,0.0008335563,0.00008005095,0.00005308609,0.0001578676,0.0001508078,0.004950083],"genre_scores_gemma":[0.9344833,0.001394463,0.04942134,0.0002667045,0.0001951933,0.0003292489,0.0004718439,0.00005328395,0.01338465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01140814,"threshold_uncertainty_score":0.0226835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115064206108152,"score_gpt":0.1843771844861544,"score_spread":0.1732265424250728,"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."}}