{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002640273,0.0003238549,0.0002611458,0.000136567,0.0002119462,0.0003388155,0.0003022248,0.0002452215,0.0008151146],"category_scores_gemma":[0.000532747,0.0001269666,0.0002548501,0.0001182865,0.0003005507,0.0002495483,0.000477709,0.0004237464,0.0000816772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001711955,"about_ca_system_score_gemma":0.0002632893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002144306,"about_ca_topic_score_gemma":0.0009640014,"domain_scores_codex":[0.9998724,0.00003160631,0.000007186999,0.00002622815,0.00004817116,0.00001443569],"domain_scores_gemma":[0.9998135,0.00007399314,0.00003025024,0.0000166092,0.00005614706,0.000009559915],"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":[0.0001139166,0.00003109996,0.0005727684,0.0001580342,0.00006010675,0.0002023998,0.0001274702,0.8658908,0.0461226,0.01881746,0.0006736261,0.06722964],"study_design_scores_gemma":[0.000004711666,0.00003434556,0.0002281664,0.000002194056,0.000002700259,0.00001299863,0.000006255823,0.9968339,0.0009232257,0.001590759,0.000357526,0.000003328418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06133525,0.0002545014,0.9347561,0.0001079831,0.00006607837,0.00001801512,0.00001851008,0.0001265343,0.003317088],"genre_scores_gemma":[0.9870458,0.00008958024,0.01108057,0.00002683788,0.00002242932,0.00002478598,0.00002143718,0.000006051665,0.0016825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002144306,"threshold_uncertainty_score":0.00426358,"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."}}