{"id":"W2921812469","doi":"10.1109/sdpc.2018.8664983","title":"Fault-Tolerant Control for a Quadrotor Helicopter with Parametric Uncertainty","year":2018,"lang":"en","type":"article","venue":"2018 International Conference on Sensing,Diagnostics, Prognostics, and Control (SDPC)","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Parametric statistics; Control theory (sociology); Actuator; Integral sliding mode; Sliding mode control; Fault (geology); Fault tolerance; Engineering; Robust control; Control engineering; Computer science; Control (management); Control system; Nonlinear system; Artificial intelligence; Mathematics; Reliability 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004353699,0.0006681347,0.0008497957,0.0003804322,0.0002189159,0.0003797699,0.0003912226,0.000273541,0.00007704644],"category_scores_gemma":[0.002341483,0.0005783488,0.00015804,0.000147718,0.000538032,0.0002026216,0.00003873917,0.0003755072,0.0001722023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001990031,"about_ca_system_score_gemma":0.0001444592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001544465,"about_ca_topic_score_gemma":0.0004060674,"domain_scores_codex":[0.9969178,0.0001044342,0.0007984638,0.0007469934,0.0006608477,0.0007714097],"domain_scores_gemma":[0.9945144,0.00220943,0.0003087081,0.0004396599,0.002186171,0.0003416263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.03857165,0.004348292,0.1007024,0.001947936,0.02402148,0.001587529,0.006532981,0.04143293,0.01273142,0.2417401,0.1226516,0.4037316],"study_design_scores_gemma":[0.01087013,0.002490099,0.003456633,0.0005891352,0.0003208021,0.00006369224,0.0002640364,0.9473518,0.0003379603,0.000869991,0.03237022,0.001015492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09207341,0.001674849,0.8768542,0.003394488,0.007636318,0.006947787,0.002578342,0.000994685,0.00784595],"genre_scores_gemma":[0.9924773,0.000296358,0.002883766,0.001135728,0.002582723,0.0001588044,0.0000863043,0.0001200812,0.0002589646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9059189,"threshold_uncertainty_score":0.9996668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02541667154928765,"score_gpt":0.2537897893936671,"score_spread":0.2283731178443795,"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."}}