{"id":"W2098236257","doi":"10.1109/cdc.2010.5717694","title":"Robust stabilization of switched linear systems with Wiener process noise","year":2010,"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":"McGill University","funders":"","keywords":"Control theory (sociology); Noise (video); Linear system; Robust control; Lyapunov function; Controller (irrigation); Constructive; Mathematics; Bounded function; Stochastic process; Stability (learning theory); State (computer science); Set (abstract data type); Computer science; Process (computing); Control system; Control (management); Nonlinear system; Engineering; Algorithm","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001774879,0.0001212626,0.0002203992,0.00004781968,0.00002184618,0.00001910685,0.0001169208,0.00008979125,0.00004631141],"category_scores_gemma":[0.00003287153,0.00008750414,0.00002674999,0.0001935442,0.00003714249,0.0001542474,0.000005225936,0.0001158378,0.00000623101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001531309,"about_ca_system_score_gemma":0.00003169047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009821638,"about_ca_topic_score_gemma":0.0002895749,"domain_scores_codex":[0.9992294,0.00001225973,0.0002664693,0.0001386102,0.0002012633,0.0001519426],"domain_scores_gemma":[0.9993692,0.0000467566,0.00004469571,0.0002741947,0.000207482,0.00005764944],"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":[0.00004621654,0.00004734931,0.01276906,0.0006923627,0.00004617738,8.836917e-7,0.0006120754,0.9520823,0.03267914,0.0007465442,0.00003024183,0.0002476394],"study_design_scores_gemma":[0.000976417,0.0000923066,0.001412127,0.00007508347,0.00003082596,0.000008446617,0.001380614,0.9779593,0.01717511,0.00002689584,0.0005788513,0.0002840703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9441606,0.00006187989,0.04905288,0.0000226228,0.0003784121,0.0003951218,0.000005099584,0.0002547225,0.005668661],"genre_scores_gemma":[0.999258,0.000001646071,0.0004339775,0.000004948444,0.0001072219,0.00005126374,0.000004619135,0.00002458127,0.0001136957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05509745,"threshold_uncertainty_score":0.3568315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175268793013609,"score_gpt":0.1997236490917377,"score_spread":0.1879709611616016,"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."}}