{"id":"W3112521663","doi":"10.1109/smc42975.2020.9282815","title":"Multivariable Receding Horizon Control of Aircraft with Actuator Constraints","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Multivariable calculus; Model predictive control; Control theory (sociology); Quadratic programming; Actuator; Horizon; Controller (irrigation); Dual (grammatical number); Computer science; Quadratic equation; Optimal control; Mathematical optimization; Mathematics; Control (management); Control engineering; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002606592,0.0003895519,0.0004299271,0.0001300825,0.0002379434,0.0004784085,0.0004850009,0.0003113858,0.0008487757],"category_scores_gemma":[0.0005265393,0.0001850019,0.0001829911,0.0002324954,0.0002719629,0.0002952205,0.0003693469,0.0005357162,0.00009857013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002332646,"about_ca_system_score_gemma":0.0004480819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005403014,"about_ca_topic_score_gemma":0.004651137,"domain_scores_codex":[0.9998411,0.00004095793,0.000006359834,0.00003287612,0.00005386818,0.00002482722],"domain_scores_gemma":[0.9998404,0.00007120434,0.00004053253,0.000008828183,0.00002998805,0.000009048836],"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":[0.0000595884,0.00002745761,0.0001758579,0.0001549237,0.00001760239,0.0001429828,0.00005870912,0.9459432,0.01143757,0.008295591,0.0005414824,0.03314503],"study_design_scores_gemma":[0.000008909614,0.0000516578,0.0001238551,0.00000242445,0.000003017876,0.000008406045,0.000003402512,0.9975989,0.0007137959,0.0009638649,0.0005188281,0.000002874705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07468863,0.0007122225,0.918923,0.0001771919,0.00007510765,0.00003582254,0.00007452181,0.000353652,0.004959886],"genre_scores_gemma":[0.9775155,0.0002633039,0.02044501,0.00003621339,0.00003295644,0.00004091459,0.00005510041,0.00001225022,0.001598693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005403014,"threshold_uncertainty_score":0.01074314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006840744445699906,"score_gpt":0.1828353436770604,"score_spread":0.1759945992313605,"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."}}