{"id":"W2013705432","doi":"10.1002/aic.690490111","title":"Adaptive extremum seeking control of continuous stirred‐tank bioreactors","year":2003,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Control theory (sociology); Bioreactor; Lyapunov function; Controller (irrigation); Adaptive control; Stability (learning theory); Continuous stirred-tank reactor; Engineering; Lyapunov stability; Control (management); Nonlinear system; Computer science; Control engineering; Chemistry; Physics; Chemical engineering","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":[0.0005304954,0.0004042019,0.0003142552,0.0001902255,0.0002277815,0.0004430497,0.0006187288,0.0004747369,0.0006874314],"category_scores_gemma":[0.0007591933,0.0001923778,0.0002642532,0.0001423197,0.0005353735,0.0002481503,0.0004399274,0.0004249099,0.0001010068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004067919,"about_ca_system_score_gemma":0.0002891531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001329809,"about_ca_topic_score_gemma":0.0006926754,"domain_scores_codex":[0.9998367,0.00005852219,0.000007479618,0.00002952181,0.00005184047,0.00001591957],"domain_scores_gemma":[0.9997645,0.0001087109,0.00004527726,0.00001243098,0.00005337469,0.00001570553],"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":[0.0002133239,0.00006767963,0.0004065455,0.0001436353,0.00004179268,0.0001702092,0.0001173595,0.8294238,0.1151914,0.01435086,0.000540733,0.03933273],"study_design_scores_gemma":[0.00001890286,0.00008801463,0.00008935847,0.000004733577,0.000003947933,0.00000950065,0.000003772192,0.9936455,0.004604402,0.001165319,0.000359771,0.000006783841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1519677,0.0004434478,0.8417444,0.0001975112,0.00008941933,0.00005333508,0.00002042402,0.0002953942,0.005188335],"genre_scores_gemma":[0.978513,0.00007864146,0.02004477,0.00002709975,0.00001005337,0.00003792802,0.000008917275,0.00000618037,0.001273428],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001329809,"threshold_uncertainty_score":0.002951443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009246222147711257,"score_gpt":0.1932327877842693,"score_spread":0.183986565636558,"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."}}