{"id":"W3186821664","doi":"10.1139/tcsme-2020-0250","title":"Optimal design of an adaptive robust controller using a multi-objective artificial bee colony algorithm for an inverted pendulum system","year":2021,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Extremum Seeking Control Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inverted pendulum; Control theory (sociology); Controller (irrigation); Gradient descent; Computer science; Position (finance); Artificial bee colony algorithm; Control (management); Artificial intelligence; Artificial neural network; Nonlinear system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004400348,0.0002534348,0.0005385945,0.00008062258,0.0002442326,0.0000337907,0.0002679104,0.0003037897,0.000003633176],"category_scores_gemma":[0.00004175781,0.0002688777,0.0006153735,0.000325316,0.00003663579,0.0001943915,0.000005001472,0.0002534319,1.764267e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009266519,"about_ca_system_score_gemma":0.0003827763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00674318,"about_ca_topic_score_gemma":0.01669767,"domain_scores_codex":[0.9985055,0.0000572668,0.0005012116,0.0002835081,0.0001806174,0.0004718873],"domain_scores_gemma":[0.9988387,0.000205402,0.00008808921,0.0002643779,0.0003280824,0.0002753276],"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":[0.00002337473,0.00003070857,6.476839e-8,0.0001303877,0.0004626062,6.873028e-7,0.0003429756,0.8110331,0.1868388,0.0002857912,0.000006053882,0.0008454821],"study_design_scores_gemma":[0.00130074,0.0001743835,0.000001993651,0.0001304976,0.0003238774,0.0000181431,0.001353521,0.9715114,0.02490392,0.00001351891,0.00001935774,0.0002486365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003044592,0.0001136343,0.9940125,0.00001516267,0.0005927456,0.001377841,0.0007060834,0.0001352593,0.000002154051],"genre_scores_gemma":[0.6812375,0.000001177266,0.3184226,0.000009344621,0.00007800122,0.0001586178,0.000008366637,0.00007671431,0.000007635102],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.678193,"threshold_uncertainty_score":0.9999763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04061792191643429,"score_gpt":0.224661189163142,"score_spread":0.1840432672467077,"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."}}