{"id":"W4385451959","doi":"10.23919/ecc57647.2023.10178252","title":"Adaptive Hessian Estimation Based Extremum Seeking Control","year":2023,"lang":"en","type":"article","venue":"","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hessian matrix; Robustness (evolution); Control theory (sociology); SIGNAL (programming language); Computer science; Noise (video); Estimation theory; Adaptive control; Mathematics; Algorithm; 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":[0.0002909742,0.0004890775,0.0004356299,0.0002436265,0.0002094052,0.0003459162,0.0006064094,0.0003678286,0.001168823],"category_scores_gemma":[0.0006076058,0.0001992732,0.0002302032,0.0001551145,0.0003987683,0.0003222202,0.0004643385,0.0003981721,0.0002362691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002946415,"about_ca_system_score_gemma":0.0002740358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467732,"about_ca_topic_score_gemma":0.001158376,"domain_scores_codex":[0.9998274,0.00004233664,0.000007563645,0.00004460141,0.00005781982,0.00002027842],"domain_scores_gemma":[0.9998165,0.00006105527,0.00003830266,0.00001605004,0.00005748234,0.00001073886],"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":[0.000193524,0.00006780911,0.0005777003,0.0001904231,0.00005716185,0.0001484865,0.0001640166,0.7380482,0.07885012,0.02535663,0.001598235,0.1547478],"study_design_scores_gemma":[0.000007969105,0.00008134574,0.0001460677,0.00000350801,0.000004457275,0.00002133617,0.000004092379,0.9955823,0.002466501,0.001082292,0.0005934325,0.000006803055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01527751,0.0001170203,0.9825759,0.00004781928,0.00002683314,0.00001846485,0.000008931463,0.0001908606,0.001736792],"genre_scores_gemma":[0.9236889,0.0001245761,0.07250156,0.0000720593,0.00003491309,0.00005034668,0.00002736926,0.00003465188,0.003465589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001467732,"threshold_uncertainty_score":0.003910065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261849557996983,"score_gpt":0.2083291982178903,"score_spread":0.1957107026379205,"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."}}