{"id":"W3120986399","doi":"","title":"ROBUST MODEL PREDICTIVE CONTROL USING CONSTRAINT RELAXATION FOR FAULT TOLERANCE","year":2015,"lang":"en","type":"article","venue":"Mechatronic systems and control","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Constraint (computer-aided design); Model predictive control; Computer science; Fault tolerance; Control theory (sociology); Control (management); Artificial intelligence; Mathematics; Distributed computing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009554428,0.001157461,0.001546532,0.000456362,0.0004277808,0.001048762,0.001267335,0.001008292,0.003178523],"category_scores_gemma":[0.003409814,0.0006233301,0.0007879212,0.0007688547,0.0007954714,0.001065647,0.00131289,0.001793412,0.0003842837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005999854,"about_ca_system_score_gemma":0.001095499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008048618,"about_ca_topic_score_gemma":0.004068773,"domain_scores_codex":[0.9994886,0.0001590127,0.00002352775,0.00009945459,0.0001424404,0.00008711783],"domain_scores_gemma":[0.9989455,0.0006628553,0.0001173418,0.0000941664,0.0001542635,0.00002595931],"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":[0.00005617757,0.00001701791,0.00004091837,0.00006098576,0.00002045377,0.00003012224,0.00001677432,0.9795601,0.0007156223,0.006320463,0.0005151461,0.01264616],"study_design_scores_gemma":[0.000008520748,0.00001360266,0.00001611091,0.000003914593,0.000003095274,0.000003975639,0.000002418579,0.9971285,0.0002465561,0.002373362,0.0001973251,0.000002583019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007400154,0.0002454538,0.9883683,0.0001235664,0.00004925737,0.0000274682,0.0000550308,0.0002313964,0.003499392],"genre_scores_gemma":[0.8236835,0.000333173,0.1712318,0.0001835862,0.00006457899,0.0002589869,0.0002757483,0.0001776238,0.003790958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008048618,"threshold_uncertainty_score":0.01600355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651173160749961,"score_gpt":0.2290647590178214,"score_spread":0.2025530274103218,"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."}}