{"id":"W1991944702","doi":"10.1109/ecticon.2012.6254367","title":"Fixed structure robust 2DOF H&lt;inf&gt;&amp;#x221E;&lt;/inf&gt; loop shaping control for ACMC buck converter using genetic algorithm","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced DC-DC Converters","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Celiac Association","keywords":"Control theory (sociology); Controller (irrigation); Buck converter; Computer science; Robust control; Loop (graph theory); Algorithm; Control (management); Control system; Engineering; Mathematics; Voltage; Artificial intelligence; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000383031,0.0004427626,0.0004116736,0.0003645621,0.0003344294,0.0005093475,0.0006206054,0.000518282,0.0009004218],"category_scores_gemma":[0.0004941779,0.0001852844,0.0004157047,0.0002531067,0.0003833355,0.0002566631,0.0002313397,0.0004036081,0.0001715107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005614627,"about_ca_system_score_gemma":0.0006721952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004913766,"about_ca_topic_score_gemma":0.003701331,"domain_scores_codex":[0.9997688,0.0000293661,0.000009995621,0.00005468466,0.0001140512,0.00002313598],"domain_scores_gemma":[0.9998386,0.00005077731,0.00003462375,0.00001577587,0.00005368408,0.000006599103],"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":[0.00009711395,0.00005683459,0.0006133294,0.0001457547,0.00005597837,0.0001337554,0.0001530862,0.7316634,0.06092271,0.01295648,0.0008003706,0.1924011],"study_design_scores_gemma":[0.00002405967,0.00007759036,0.0002071027,0.000009214799,0.00001305343,0.00005098774,0.000008092993,0.9895684,0.007424105,0.001389033,0.001216076,0.00001220247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02560174,0.0002136234,0.9696726,0.00007006156,0.00002861591,0.00003534992,0.00001377157,0.0004882545,0.003876018],"genre_scores_gemma":[0.7920099,0.0002169725,0.2034401,0.00008011501,0.00002345056,0.000105935,0.0000479563,0.00004830869,0.004027332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004913766,"threshold_uncertainty_score":0.009770334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02718946116632477,"score_gpt":0.2379784438753627,"score_spread":0.2107889827090379,"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."}}