{"id":"W2331443151","doi":"10.11159/ijmem.2012.006","title":"LMI-based Adaptive Observers for Nonlinear Systems","year":2012,"lang":"en","type":"article","venue":"International Journal of Mechanical Engineering and Mechatronics","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Nonlinear system; Control theory (sociology); Computer science; Mathematics; Artificial intelligence; Physics; Control (management)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005863729,0.000184297,0.0003114599,0.0001554225,0.00001916763,0.00004064401,0.0002564768,0.0001221469,0.000003488605],"category_scores_gemma":[0.000168778,0.0001711612,0.0001663644,0.00005195659,0.000009004538,0.0002500964,0.00002404616,0.0002538156,0.000003328443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002129155,"about_ca_system_score_gemma":0.00004398414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002433107,"about_ca_topic_score_gemma":5.363022e-7,"domain_scores_codex":[0.9987572,0.00001666133,0.0004801365,0.0000878291,0.0003603338,0.0002978675],"domain_scores_gemma":[0.999002,0.0002332032,0.0001326947,0.00008939077,0.0003262649,0.0002164393],"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":[0.0002241266,0.00009792574,0.00002614922,0.0001226536,0.0008883158,0.00001399489,0.00007611409,0.9301622,0.01651169,0.0478451,0.0004837972,0.003547919],"study_design_scores_gemma":[0.001284671,0.0001689754,0.00001159793,0.0001514243,0.00005221902,0.00007246036,0.00007299831,0.9517983,0.00192515,0.00002891291,0.04425548,0.0001778724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02305926,0.004574823,0.965117,0.0001238292,0.006728377,0.0001955486,0.00008476499,0.00009411878,0.00002223061],"genre_scores_gemma":[0.9594943,0.00008862861,0.03858005,0.00002603323,0.001723226,0.00001309784,0.000007979426,0.00005202975,0.00001465967],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.936435,"threshold_uncertainty_score":0.6979749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01907090370470971,"score_gpt":0.2352250011513844,"score_spread":0.2161540974466747,"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."}}