{"id":"W4242964546","doi":"10.1109/ijcnn.2006.1716754","title":"On Stability of Nonlinear Observers Based on Neural Networks","year":2006,"lang":"en","type":"article","venue":"The 2006 IEEE International Joint Conference on Neural Network Proceedings","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Concordia University","funders":"","keywords":"Artificial neural network; Control theory (sociology); Nonlinear system; Stability (learning theory); Sigmoid function; Computer science; Bounded function; Identifier; Mathematics; Artificial intelligence; Machine learning","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004242082,0.000431028,0.0004377419,0.0001164406,0.00009859219,0.0001094596,0.0006407866,0.0001398554,0.0001080892],"category_scores_gemma":[0.00006991476,0.0003299161,0.0002242867,0.0002516274,0.0001530692,0.000169676,0.0000369951,0.0006578435,0.0000294912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000185462,"about_ca_system_score_gemma":0.00002527764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006311954,"about_ca_topic_score_gemma":0.00003216409,"domain_scores_codex":[0.9975931,0.00004468549,0.0007102675,0.0004097873,0.0007480563,0.0004941055],"domain_scores_gemma":[0.998597,0.0003089342,0.0002836376,0.0002631776,0.0004587043,0.00008859507],"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":[0.0004070007,0.0001052891,0.001229679,0.00002371868,0.00004343018,0.000005537369,0.00001977641,0.9834245,0.001267369,0.005947368,0.006733485,0.0007928654],"study_design_scores_gemma":[0.0007241259,0.0003436044,0.004189695,0.0001964343,0.00001841627,0.000004323477,0.0000213097,0.992393,0.001063847,0.0003767782,0.0003800117,0.0002884535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697375,0.00004519558,0.002731794,0.002098133,0.003205307,0.0008104358,0.00007721617,0.0004017417,0.0208927],"genre_scores_gemma":[0.9970801,0.000006805933,0.0002038074,0.0005545678,0.001884371,0.00004099113,0.00003388809,0.00006161391,0.0001338499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02734263,"threshold_uncertainty_score":0.9999153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03860090359459024,"score_gpt":0.2376126615728904,"score_spread":0.1990117579783001,"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."}}