{"id":"W4312964890","doi":"10.1109/tcyb.2022.3224040","title":"Flexible Performance-Based Control for Nonlinear Systems Under Strong External Disturbances","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Jiangsu Planned Projects for Postdoctoral Research Funds; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Control theory (sociology); Nonlinear system; Interval (graph theory); Computer science; Disturbance (geology); Control (management); Observer (physics); SIGNAL (programming language); Control system; Control engineering; Mathematics; 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":[0.0005722506,0.0005600802,0.0003088161,0.0002278258,0.0003093247,0.0006725345,0.000517503,0.0003689973,0.0005882815],"category_scores_gemma":[0.001202041,0.0001058052,0.0002697239,0.0002301966,0.0007502067,0.0005514993,0.000845838,0.0006027883,0.000103521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003551666,"about_ca_system_score_gemma":0.0003959742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00175611,"about_ca_topic_score_gemma":0.001121268,"domain_scores_codex":[0.9995877,0.00006684265,0.00002571733,0.00008562213,0.0001831601,0.00005098256],"domain_scores_gemma":[0.9996388,0.0001073143,0.00009697001,0.00004288569,0.00009597006,0.00001800394],"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":[0.000155745,0.0000417954,0.0005857538,0.0002111395,0.00002696214,0.0001983852,0.0002585641,0.8419073,0.04557262,0.03093653,0.0005927373,0.07951256],"study_design_scores_gemma":[0.000008861264,0.0001308541,0.000305618,0.000008492555,0.00000486423,0.00002083699,0.00001452617,0.992402,0.003325709,0.003071208,0.0006998095,0.000007258541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03114172,0.0002122699,0.9644819,0.00006810054,0.00004416077,0.00002380589,0.000009647185,0.0001793085,0.003839161],"genre_scores_gemma":[0.9897923,0.0001332569,0.009190093,0.00002131665,0.00001843557,0.00002704876,0.00001738288,0.000008888831,0.0007913094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00175611,"threshold_uncertainty_score":0.003491819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207667314066027,"score_gpt":0.2293293252486835,"score_spread":0.2085625938420808,"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."}}