{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002058962,0.000159417,0.0002824116,0.00003519033,0.00009310521,0.00004446091,0.00006428027,0.00009115533,6.959035e-7],"category_scores_gemma":[0.00001883988,0.0001492969,0.00004824849,0.00004954129,0.000029047,0.0001540578,0.000005131697,0.00009129861,0.000001472702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001556151,"about_ca_system_score_gemma":0.00005530973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002460898,"about_ca_topic_score_gemma":0.000005025285,"domain_scores_codex":[0.9991294,0.0000153206,0.0002707261,0.0002038443,0.0001158874,0.0002647775],"domain_scores_gemma":[0.9994642,0.00005043881,0.00007977352,0.0001519247,0.0001332802,0.0001204262],"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":[0.00002236174,0.000007590028,0.00001029563,0.00003089974,0.00004735765,2.715844e-7,0.00007473637,0.9857389,0.001124595,0.0115687,0.00005436344,0.001319884],"study_design_scores_gemma":[0.003443242,0.00005034259,0.000005201199,0.00003948005,0.00006226956,0.00001222929,0.0004298196,0.9935755,0.00004965108,0.001406776,0.0007639563,0.0001615817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007425409,0.002996225,0.9874908,0.00004453993,0.0002848533,0.001187097,0.000238226,0.0001653194,0.0001675811],"genre_scores_gemma":[0.994559,0.0000198504,0.004493164,0.0000260065,0.000240003,0.0005728616,0.000008506155,0.00003039578,0.00005013735],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9871337,"threshold_uncertainty_score":0.608815,"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."}}