{"id":"W2119150235","doi":"10.1109/cca.2007.4389322","title":"Robust Nonlinear Control of a Voltage-Controlled Magnetic Levitation System with Disturbance Observer","year":2007,"lang":"en","type":"article","venue":"˜The œproceedings of the IEEE Conference on Control Applications/˜The œproceedings of the ... IEEE Conference on Control Applications","topic":"Magnetic Bearings and Levitation Dynamics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Backstepping; Nonlinear system; Magnetic levitation; Robust control; Control system; Controller (irrigation); Control engineering; State observer; Computer science; Engineering; Adaptive control; Control (management); Magnet; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002298252,0.001033637,0.001668292,0.0003027382,0.0008797987,0.0003172702,0.004023302,0.0004153858,0.00003267974],"category_scores_gemma":[0.000130935,0.0006016038,0.0006990377,0.001650794,0.001382116,0.0003277971,0.0000922068,0.001194586,0.00003028863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002669283,"about_ca_system_score_gemma":0.0002415878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001058188,"about_ca_topic_score_gemma":0.0001659932,"domain_scores_codex":[0.9940547,0.00005048862,0.002323055,0.001029643,0.001571849,0.0009702428],"domain_scores_gemma":[0.9903837,0.001323911,0.002661004,0.00123828,0.004133256,0.0002598147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004075776,0.001088419,0.003889818,0.001833492,0.001364643,4.676029e-7,0.001167909,0.03143787,0.3341029,0.6078853,0.001386443,0.01176702],"study_design_scores_gemma":[0.02861226,0.001272059,0.02767418,0.001814754,0.003152683,0.00005280963,0.005324449,0.9100879,0.009092221,0.007073877,0.003719803,0.002122958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2988896,0.001024493,0.6031333,0.01206101,0.00130702,0.04295878,0.0016217,0.001118191,0.03788593],"genre_scores_gemma":[0.9923214,0.0000682172,0.0006014078,0.0004662858,0.0003588593,0.005173376,0.000006844492,0.000140954,0.0008626394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8786501,"threshold_uncertainty_score":0.9996435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487711905660067,"score_gpt":0.2064132420486114,"score_spread":0.1915361229920108,"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."}}