{"id":"W2094073637","doi":"10.1002/rnc.1355","title":"<i>H</i><sub>∞</sub> control for discrete‐time Markovian jump linear systems with partly unknown transition probabilities","year":2008,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Linearization; Discrete time and continuous time; Control theory (sociology); Mathematics; Jump; Markov process; Jump process; Class (philosophy); State (computer science); Stochastic matrix; Transition (genetics); Matrix (chemical analysis); Control (management); Applied mathematics; Nonlinear system; Computer science; Markov chain; Algorithm; Physics","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":[0.0006519983,0.0004101299,0.0004286663,0.000204489,0.0003012846,0.0008502319,0.000540388,0.0003940725,0.00115919],"category_scores_gemma":[0.001259494,0.0001655093,0.0003207643,0.0001562178,0.0009831341,0.0005338315,0.0005837999,0.0007397051,0.00008869365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005857872,"about_ca_system_score_gemma":0.0007799251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004403889,"about_ca_topic_score_gemma":0.001717112,"domain_scores_codex":[0.9996967,0.00007187426,0.00001285955,0.00007076239,0.00009730914,0.00005042683],"domain_scores_gemma":[0.9992567,0.0004038744,0.0001741642,0.00003184843,0.0001054439,0.00002805563],"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":[0.0002870511,0.00008939907,0.000809592,0.0002240807,0.00005215323,0.0002222656,0.0001949942,0.8311388,0.02239046,0.08674043,0.00112266,0.05672805],"study_design_scores_gemma":[0.000006621888,0.00004333202,0.0002078016,0.000005706274,0.000004780761,0.00001198939,0.00001024959,0.9934402,0.001768928,0.004233088,0.0002606001,0.000006680287],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08333878,0.0003757413,0.9086345,0.0003300909,0.00007128729,0.00003743648,0.00003073212,0.0001968865,0.006984503],"genre_scores_gemma":[0.9915211,0.0001425135,0.006811745,0.00004749622,0.00002228159,0.0000243963,0.00001838385,0.000009222001,0.001402724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004403889,"threshold_uncertainty_score":0.008756518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008395568581533404,"score_gpt":0.1921869214298704,"score_spread":0.183791352848337,"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."}}