{"id":"W1999902676","doi":"10.1016/j.nonrwa.2013.04.003","title":"A generalized nonlinear filter design for discrete-time Lipschitz descriptor systems","year":2013,"lang":"en","type":"article","venue":"Nonlinear Analysis Real World Applications","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Lipschitz continuity; Mathematics; Control theory (sociology); Filter (signal processing); Nonlinear system; Linear matrix inequality; Filter design; Stability (learning theory); Stability theory; Discrete time and continuous time; Applied mathematics; Matrix (chemical analysis); Filtering problem; Mathematical optimization; Mathematical analysis; Computer science; Control (management)","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":[0.0007442356,0.0006391475,0.000995688,0.0002380319,0.000400659,0.0009821792,0.0007153882,0.001274983,0.00243131],"category_scores_gemma":[0.0009506923,0.0002726564,0.0005997691,0.0003182261,0.0004716487,0.0008107133,0.0006042467,0.0006679495,0.0006140826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003412329,"about_ca_system_score_gemma":0.0007484116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002396596,"about_ca_topic_score_gemma":0.002414363,"domain_scores_codex":[0.9997084,0.0000563897,0.00002295405,0.00009422375,0.00008551919,0.00003246209],"domain_scores_gemma":[0.999667,0.0001001179,0.00003637942,0.00003476258,0.0001452738,0.00001647115],"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":[0.000748618,0.0001764867,0.0009589165,0.0011636,0.0002632519,0.0003016843,0.0004113496,0.4535273,0.1072587,0.04133789,0.003564107,0.3902882],"study_design_scores_gemma":[0.00006691959,0.0003668274,0.0002677879,0.00002394889,0.00004813808,0.00006340267,0.00002189688,0.9864981,0.00720905,0.002183013,0.003225846,0.00002493094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005447092,0.00014327,0.9933463,0.0000527459,0.00006576552,0.00002445634,0.00001276783,0.0001053749,0.0008021908],"genre_scores_gemma":[0.7791147,0.0008740502,0.2110616,0.0002153023,0.0002029661,0.0002981947,0.0002035376,0.00006804948,0.007961529],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00243131,"threshold_uncertainty_score":0.008133531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779765699954525,"score_gpt":0.2463471046328107,"score_spread":0.2285494476332654,"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."}}