{"id":"W2104959574","doi":"10.23919/acc.2004.1384358","title":"Adaptive extremum-seeking receding horizon control of nonlinear systems","year":2004,"lang":"en","type":"article","venue":"","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Parametric statistics; Nonlinear system; Horizon; Controller (irrigation); Lyapunov function; Adaptive control; Control (management); Computer science; Mathematics; Mathematical optimization; 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":[0.0004044695,0.000436753,0.0004902831,0.0001465799,0.0002359425,0.0003653442,0.0006398765,0.0004224207,0.0007134036],"category_scores_gemma":[0.0007667099,0.000187651,0.0002433727,0.0001672725,0.0004023166,0.0003113229,0.0003817373,0.0005382859,0.0001255266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002393284,"about_ca_system_score_gemma":0.0002982086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362949,"about_ca_topic_score_gemma":0.001127097,"domain_scores_codex":[0.9998585,0.00004310725,0.00000789313,0.00002863063,0.00004548715,0.00001632881],"domain_scores_gemma":[0.9998063,0.0000842252,0.00004624196,0.00001526062,0.00003991606,0.000007969344],"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":[0.0001314785,0.00003774491,0.0002359199,0.0001603613,0.00004174842,0.0001881077,0.0001370579,0.8637261,0.02720381,0.01767381,0.0006401027,0.08982376],"study_design_scores_gemma":[0.000011568,0.00005768892,0.00005109932,0.000004387789,0.000004161206,0.00001808301,0.000003406171,0.9963772,0.001980528,0.001038874,0.000447952,0.000005128231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02550765,0.0002737665,0.9718571,0.0000640385,0.00003241805,0.00001820416,0.000008828362,0.0001883205,0.002049729],"genre_scores_gemma":[0.9076757,0.0001882991,0.09023794,0.00003848071,0.00002720244,0.00005349604,0.00001902087,0.00001694512,0.001742989],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001362949,"threshold_uncertainty_score":0.002709985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236353712309435,"score_gpt":0.2017103225148452,"score_spread":0.1893467853917509,"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."}}