{"id":"W3197026338","doi":"10.1016/j.isatra.2021.08.034","title":"A finite-time adaptive order estimation approach for non-integer order nonlinear systems","year":2021,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Control Systems and Identification","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Nonlinear system; Integer (computer science); Estimator; Bounded function; State (computer science); Control theory (sociology); Order (exchange); Stability (learning theory); Mathematics; Multivariable calculus; Interval (graph theory); Mathematical optimization; Applied mathematics; Computer science; Algorithm; Artificial intelligence; Engineering; Statistics; Control engineering; Control (management); Mathematical analysis","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":[0.0001062754,0.000144765,0.0002136038,0.00008226629,0.0001279489,0.0001027164,0.00006273711,0.000110955,0.0001062122],"category_scores_gemma":[0.00002792834,0.000153074,0.00009679978,0.0003803095,0.00001320938,0.0002149185,0.000001453014,0.0001203796,0.0001032912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007378523,"about_ca_system_score_gemma":0.00005604644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007753631,"about_ca_topic_score_gemma":0.00003761244,"domain_scores_codex":[0.9991552,0.00002326097,0.0002950588,0.0002159198,0.0001238499,0.000186683],"domain_scores_gemma":[0.9992217,0.00009721691,0.0000336895,0.0002334244,0.0003583392,0.00005558935],"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":[0.000010474,0.00007267196,0.000001198771,0.000141291,0.0001312978,7.258232e-7,0.0003130983,0.9910685,0.004943841,0.00008475188,0.0006199738,0.002612167],"study_design_scores_gemma":[0.0005045477,0.00001585229,0.00002264796,0.0000361687,0.00008424717,0.00001046642,0.0002904074,0.9933709,0.0006533035,0.00001527651,0.004829439,0.0001667578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006195611,0.0002189537,0.9954562,0.00006235427,0.0006072392,0.0005958164,0.000157139,0.0002091196,0.002073664],"genre_scores_gemma":[0.9470614,0.00002545897,0.04640004,0.00001353313,0.0002153269,0.0007616971,0.0003167862,0.00006469613,0.00514107],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9490561,"threshold_uncertainty_score":0.6242178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275718783369585,"score_gpt":0.2148123140111722,"score_spread":0.2020551261774763,"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."}}