{"id":"W4378233120","doi":"10.1002/acs.3630","title":"Adaptive control and almost disturbance decoupling for uncertain HOFA nonlinear systems","year":2023,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Control theory (sociology); Decoupling (probability); Nonlinear system; Adaptive control; Lyapunov function; Computer science; Disturbance (geology); Lyapunov stability; Control engineering; Controller (irrigation); Stability (learning theory); Control (management); Engineering; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008672389,0.0003354251,0.0006864936,0.0003331846,0.000156313,0.0002564832,0.0003004548,0.0001256269,0.000002363244],"category_scores_gemma":[0.0001547878,0.0002891572,0.0001503373,0.0001591399,0.0001311902,0.0006184428,0.00003199764,0.0003308069,0.000003636228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001557871,"about_ca_system_score_gemma":0.0001190697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001501287,"about_ca_topic_score_gemma":0.000006127043,"domain_scores_codex":[0.9978743,0.00006376689,0.0008509767,0.0002753502,0.0005581102,0.0003774657],"domain_scores_gemma":[0.9971063,0.0007063679,0.0004883719,0.00006961308,0.001430524,0.0001988255],"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":[0.008834469,0.0002104803,0.005715445,0.0006743925,0.005993862,0.001007503,0.002496789,0.7151268,0.04139439,0.002442284,0.001858365,0.2142452],"study_design_scores_gemma":[0.005747451,0.0003611975,0.00176337,0.0006527424,0.0001256595,0.0001911257,0.0009818106,0.9874336,0.00004923651,0.0002959981,0.002092107,0.0003056623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04514799,0.0184628,0.933288,0.0005859369,0.001136247,0.0007058905,0.0003656254,0.0001405001,0.0001670298],"genre_scores_gemma":[0.9959016,0.000157819,0.001895927,0.000108018,0.001742112,0.00004001734,0.000008597674,0.00006174242,0.00008421032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9507536,"threshold_uncertainty_score":0.9999561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987626220237127,"score_gpt":0.2593033642476027,"score_spread":0.2394271020452314,"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."}}