{"id":"W1520004593","doi":"10.1002/rnc.3117","title":"Stability and stabilization of piecewise‐affine slab systems subject to Wiener process noise","year":2013,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multiplicative noise; Piecewise; Control theory (sociology); Mathematics; Multiplicative function; Affine transformation; Lyapunov function; Noise (video); Stability (learning theory); Convex optimization; Regular polygon; Mathematical optimization; Applied mathematics; Computer science; Nonlinear system; Mathematical analysis; Control (management)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006049333,0.0007566466,0.0006963256,0.0003426539,0.0002435341,0.0007145304,0.0004920379,0.0005029658,0.001756955],"category_scores_gemma":[0.001619533,0.0002472869,0.0005670651,0.0003110363,0.0006581101,0.0004282117,0.0009789258,0.0007147997,0.00021516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004273242,"about_ca_system_score_gemma":0.000670494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003077628,"about_ca_topic_score_gemma":0.001272458,"domain_scores_codex":[0.999655,0.00007798018,0.00002176326,0.0000649709,0.0001386994,0.00004147892],"domain_scores_gemma":[0.9993236,0.0002993486,0.0001678936,0.00003229369,0.000156928,0.00002002117],"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":[0.00007800028,0.00001055592,0.0002518166,0.00009844703,0.00002762244,0.00009748799,0.00006462924,0.9482045,0.0194255,0.02056359,0.0002244255,0.01095331],"study_design_scores_gemma":[0.000003880313,0.00003201637,0.0001257085,0.000004485977,0.000005240039,0.00001048024,0.000009047501,0.9958602,0.001468829,0.002281533,0.0001952056,0.000003488898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03956065,0.0002121519,0.9563659,0.0001121964,0.00002013139,0.00002199844,0.00005284536,0.0002175254,0.003436455],"genre_scores_gemma":[0.9762352,0.0002643641,0.02001502,0.00002564716,0.0000188308,0.0000899801,0.00006629878,0.00002874286,0.003255954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003077628,"threshold_uncertainty_score":0.00611943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028138845337954,"score_gpt":0.2188073417963536,"score_spread":0.208525953342974,"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."}}