{"id":"W2061274368","doi":"10.1007/s11633-010-0529-1","title":"Observers for descriptor systems with slope-restricted nonlinearities","year":2010,"lang":"en","type":"article","venue":"International Journal of Automation and Computing","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Science North","funders":"","keywords":"Observer (physics); Uniqueness; Nonlinear system; Control theory (sociology); Mathematics; Linear matrix inequality; Mathematical optimization; Computer science; Control (management); Mathematical analysis; Artificial intelligence","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":[0.0001936144,0.00007191171,0.0001318778,0.00009876628,0.00003982396,0.0001564066,0.000135366,0.00003949773,0.000003921471],"category_scores_gemma":[0.00006603202,0.00005898828,0.00003900878,0.00004287502,0.00002067987,0.0001922831,0.000008219926,0.0001202493,4.709037e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003268435,"about_ca_system_score_gemma":0.00003181968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001461915,"about_ca_topic_score_gemma":0.00001044672,"domain_scores_codex":[0.9993201,0.00001249873,0.0003269986,0.00005179977,0.0002098014,0.00007878787],"domain_scores_gemma":[0.9991671,0.0001482208,0.000143632,0.00004148549,0.0004566435,0.00004291791],"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":[0.0008556533,0.0002531834,0.03852467,0.0008531561,0.002575873,0.00008232485,0.005856463,0.6360044,0.06655402,0.02809598,0.004037546,0.2163067],"study_design_scores_gemma":[0.001250232,0.00008395206,0.01166477,0.0001495834,0.00001709945,0.0001975738,0.0006098051,0.9799348,0.0002226754,0.00006079641,0.005707857,0.0001008678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8986092,0.0001509958,0.0980147,0.0001783982,0.00264133,0.000110426,0.000007643001,0.00006666622,0.0002206751],"genre_scores_gemma":[0.9941299,0.000005186165,0.005276787,0.00002186951,0.0005374851,0.000002111768,0.000003471129,0.000008676761,0.0000145067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3439304,"threshold_uncertainty_score":0.2405472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00951232365214512,"score_gpt":0.2229546295695268,"score_spread":0.2134423059173816,"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."}}