{"id":"W4400438598","doi":"10.1016/j.ejcon.2024.101080","title":"A novel dynamic finite-time prescribed performance control strategy with constraint and robustness","year":2024,"lang":"en","type":"article","venue":"European Journal of Control","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Taishan Scholar Project of Shandong Province","keywords":"Robustness (evolution); Control theory (sociology); Computer science; Mathematical optimization; Constraint (computer-aided design); Mathematics; Control (management); Artificial intelligence","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":[0.0004793171,0.001059968,0.001124089,0.0005693571,0.0004637334,0.00116422,0.001562721,0.001323733,0.002459244],"category_scores_gemma":[0.0007613523,0.0002805475,0.0005877471,0.0005205078,0.0006371721,0.0008011555,0.001528538,0.0006180129,0.0004448729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004918231,"about_ca_system_score_gemma":0.0007497454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002494617,"about_ca_topic_score_gemma":0.001595889,"domain_scores_codex":[0.9996364,0.00005330945,0.00002163985,0.00009550848,0.0001398622,0.00005320188],"domain_scores_gemma":[0.9996694,0.00008712719,0.00005691176,0.00003185137,0.0001206952,0.00003393699],"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":[0.0003151665,0.0001766506,0.0003645062,0.0004493379,0.0001247371,0.0005010858,0.0001892385,0.7294279,0.05232299,0.06701735,0.003400052,0.145711],"study_design_scores_gemma":[0.00001835978,0.0001144659,0.00006880425,0.000007156253,0.000009617778,0.00004306403,0.000005393129,0.9953206,0.001329522,0.002028269,0.001043066,0.00001167644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01172782,0.0002200417,0.9798967,0.000114643,0.0001406594,0.00004132486,0.00002319061,0.0002246613,0.007610928],"genre_scores_gemma":[0.9095237,0.0002539189,0.08155845,0.0001828123,0.0001024036,0.0001973387,0.00008865721,0.00006050326,0.008032264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002494617,"threshold_uncertainty_score":0.00822705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007440307836120635,"score_gpt":0.1847877037434736,"score_spread":0.1773473959073529,"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."}}