{"id":"W3191323206","doi":"10.1080/00207179.2021.1964604","title":"Backstepping control for stochastic nonlinear strict-feedback systems based on observer with incomplete measurements","year":2021,"lang":"en","type":"article","venue":"International Journal of Control","topic":"Smart Grid Security and Resilience","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; Department of Education of Liaoning Province; National Natural Science Foundation of China","keywords":"Backstepping; Control theory (sociology); Nonlinear system; State observer; Estimator; Observer (physics); Bounded function; State (computer science); State variable; Mathematics; Stability (learning theory); Network packet; Computer science; Control (management); Adaptive control; Algorithm; Artificial intelligence; Statistics","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":[0.001008989,0.0007694616,0.000817754,0.0002686349,0.0003119204,0.0008013907,0.0008539537,0.0006846994,0.0006568084],"category_scores_gemma":[0.002173188,0.000290879,0.0004693909,0.0002621913,0.0008303442,0.0007732629,0.0008485035,0.0009440797,0.0001132733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005585364,"about_ca_system_score_gemma":0.0007620452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005009557,"about_ca_topic_score_gemma":0.003089693,"domain_scores_codex":[0.9994247,0.0001247514,0.00004366283,0.0001462393,0.0002056559,0.00005506024],"domain_scores_gemma":[0.9990055,0.0004532486,0.0002156105,0.0000683114,0.0002234302,0.00003400617],"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":[0.0001823562,0.00004705208,0.0008811247,0.000334779,0.00006193255,0.0002447563,0.0003116668,0.9175475,0.01551611,0.01963418,0.0005428762,0.04469575],"study_design_scores_gemma":[0.000007120949,0.00005389431,0.000100205,0.000004065827,0.00000422385,0.00001022023,0.000006072699,0.9979669,0.0007355858,0.0009008581,0.000205709,0.000005098042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01728107,0.0001547814,0.9814836,0.00006399743,0.00003544988,0.00002331252,0.00001519411,0.0001361218,0.0008063832],"genre_scores_gemma":[0.9658062,0.000265979,0.03175188,0.00005319504,0.00003653473,0.000118098,0.00006279263,0.0000154882,0.001889859],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005009557,"threshold_uncertainty_score":0.00996083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043131680092506,"score_gpt":0.2340886483944206,"score_spread":0.2136573315934956,"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."}}