{"id":"W4299505271","doi":"","title":"Robust stabilization of switched affine systems with unknown parameters and its application to DC/DC flyback converters","year":2017,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Converters; Flyback transformer; Flyback converter; Control theory (sociology); Affine transformation; Computer science; DC motor; Electronic engineering; Voltage; Electrical engineering; Mathematics; Engineering; Control (management); Boost converter; Transformer; 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":[0.0002018709,0.0004559574,0.0003877002,0.0002764155,0.0002039226,0.0006620942,0.0003212561,0.0005699562,0.002214998],"category_scores_gemma":[0.0006567095,0.0001275098,0.0002523741,0.0002568462,0.0003663443,0.0002749004,0.0003239154,0.0004032007,0.0001586344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002356401,"about_ca_system_score_gemma":0.0001884315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002652053,"about_ca_topic_score_gemma":0.001511175,"domain_scores_codex":[0.9999142,0.00001797016,0.000006095432,0.00002070044,0.00003298228,0.000008017201],"domain_scores_gemma":[0.9998237,0.00008773988,0.00002599623,0.00001904975,0.0000378344,0.000005725671],"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":[0.0003929321,0.00007888219,0.0003849668,0.0002971412,0.00006629877,0.0003308978,0.0002440846,0.7727361,0.0663606,0.03434127,0.001227977,0.1235388],"study_design_scores_gemma":[0.00001000467,0.00009994087,0.0002779526,0.00000998865,0.00001065012,0.00003199149,0.00002039255,0.9909205,0.003928216,0.003911286,0.0007716824,0.000007430599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1740337,0.001965357,0.8054315,0.0003794065,0.0001709305,0.00007802333,0.00008892149,0.0006833238,0.01716881],"genre_scores_gemma":[0.9869688,0.0004568138,0.00872519,0.00002775446,0.0000409284,0.00002739631,0.00003153344,0.00001822989,0.003703314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002652053,"threshold_uncertainty_score":0.00740993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501176376974782,"score_gpt":0.1990547658444518,"score_spread":0.1840430020747039,"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."}}