{"id":"W4406587859","doi":"10.1016/j.sysconle.2025.106020","title":"Adaptive state observers for a class of nonlinear systems: The non-triangular and non-state-affine case","year":2025,"lang":"en","type":"article","venue":"Systems & Control Letters","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"Overseas Expertise Introduction Project for Discipline Innovation; Higher Education Discipline Innovation Project; Ministry of Education and Science of the Russian Federation","keywords":"Class (philosophy); Nonlinear system; Affine transformation; State (computer science); Mathematics; Control theory (sociology); Applied mathematics; Computer science; Pure mathematics; Artificial intelligence; Algorithm; Control (management); Physics","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":[0.0003672323,0.0002734285,0.0003828441,0.0002550023,0.0002583675,0.0008992588,0.0005680443,0.0006175731,0.002039459],"category_scores_gemma":[0.001929905,0.000131605,0.0003026951,0.0002335777,0.0005723073,0.0008983039,0.000463652,0.0007223127,0.0001664382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003566271,"about_ca_system_score_gemma":0.0003730438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003061227,"about_ca_topic_score_gemma":0.00332093,"domain_scores_codex":[0.9997568,0.00003050737,0.0000175939,0.00007345889,0.00008151188,0.00004016418],"domain_scores_gemma":[0.9991121,0.0004393198,0.00014741,0.00009125535,0.0001760978,0.0000337129],"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":[0.000592614,0.000254017,0.005475024,0.0004073474,0.0001151231,0.001105624,0.0006087161,0.5188779,0.04713269,0.2579321,0.003165478,0.1643334],"study_design_scores_gemma":[0.00001067762,0.00003209107,0.0004670009,0.000005160806,0.000004865549,0.00003328045,0.00002239523,0.9867907,0.000787918,0.01136333,0.0004776132,0.000005009319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1344388,0.0004552329,0.8547232,0.0002529079,0.00009310868,0.00004362256,0.00006761505,0.0001794749,0.009745966],"genre_scores_gemma":[0.9836199,0.0002256491,0.01262324,0.00003692086,0.00003909346,0.00002955881,0.00007221106,0.00001029675,0.003343122],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003061227,"threshold_uncertainty_score":0.006822705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008570480568741167,"score_gpt":0.2114496249086758,"score_spread":0.2028791443399346,"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."}}