{"id":"W4311843832","doi":"10.1002/rnc.6500","title":"Design of sliding mode fault‐tolerant control for Markovian jump systems with probabilistic delay: A discrete partitioning strategy","year":2022,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Shandong Province","keywords":"Control theory (sociology); Actuator; Probabilistic logic; Controller (irrigation); Sliding mode control; Mode (computer interface); Computer science; Discrete time and continuous time; Jump; Fault tolerance; Fault (geology); Control (management); Mathematics; Nonlinear system; Physics; Distributed computing","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":[0.0005069553,0.0006954163,0.0005562953,0.0003144644,0.0002936404,0.0005911663,0.0009454804,0.0005954096,0.0008008002],"category_scores_gemma":[0.0008330041,0.0002859224,0.0004269895,0.0002399452,0.0006199498,0.0004949445,0.0007936331,0.0004828421,0.00008168694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000537335,"about_ca_system_score_gemma":0.000701785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003078338,"about_ca_topic_score_gemma":0.001401724,"domain_scores_codex":[0.9997005,0.00006473964,0.00001716222,0.00007720372,0.00009338871,0.00004700432],"domain_scores_gemma":[0.9996136,0.0001513681,0.00009867011,0.00002337422,0.00008644714,0.00002658434],"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":[0.000145497,0.0000438262,0.0004188145,0.0001822737,0.00006100619,0.0001501744,0.0001714787,0.9157488,0.02491957,0.02457687,0.0003874572,0.03319419],"study_design_scores_gemma":[0.000009717219,0.00006617654,0.00007927247,0.000005003131,0.000006618742,0.00001188437,0.00000713176,0.997586,0.0009584316,0.001093312,0.0001726673,0.000003765456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03938872,0.0002345469,0.958453,0.0001059963,0.00003419043,0.00003423902,0.00001679326,0.00008416217,0.001648339],"genre_scores_gemma":[0.9785903,0.0001342207,0.02034332,0.00003987555,0.00001498534,0.00009296446,0.00002400083,0.000008647173,0.0007518676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003078338,"threshold_uncertainty_score":0.006120861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01829112069505839,"score_gpt":0.2353877612330481,"score_spread":0.2170966405379897,"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."}}