{"id":"W2037876940","doi":"10.1002/rnc.1216","title":"Non‐convex optimization and robustness in realtime model predictive control","year":2007,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Robustness (evolution); Model predictive control; Computer science; Mathematical optimization; Nonlinear system; Nonlinear model; Control theory (sociology); Convex optimization; Regular polygon; Control (management); Mathematics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001980929,0.0007085773,0.0007139103,0.0003528247,0.0002175776,0.001035839,0.0006958721,0.0006266898,0.00138502],"category_scores_gemma":[0.007341974,0.0002807378,0.0004273087,0.0003409859,0.00140156,0.001096432,0.001114749,0.001087456,0.0001901751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006048728,"about_ca_system_score_gemma":0.0004409401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001531943,"about_ca_topic_score_gemma":0.0004977194,"domain_scores_codex":[0.9988438,0.0005081387,0.00003782739,0.0001660611,0.0003705969,0.00007351622],"domain_scores_gemma":[0.9963967,0.002500394,0.0005809505,0.0002542386,0.0002064056,0.00006133049],"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":[0.00005809724,0.00001594066,0.0001331636,0.00005653411,0.00002106832,0.0000569923,0.00003471969,0.9442725,0.002919059,0.03578309,0.0003720414,0.01627678],"study_design_scores_gemma":[0.000003988715,0.00002275537,0.00006289883,0.000004623991,0.000002358066,0.000009662873,0.000003599169,0.9880328,0.0007253455,0.01087337,0.0002554365,0.000003195019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02359903,0.0008073058,0.9701729,0.0003542556,0.0000471524,0.00001643394,0.00001974201,0.0002562049,0.004726858],"genre_scores_gemma":[0.9575114,0.0004370179,0.03971419,0.00006964301,0.0000887987,0.00005475061,0.00003220858,0.0001067503,0.001985209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001980929,"threshold_uncertainty_score":0.01047629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005660616124588555,"score_gpt":0.221917025781299,"score_spread":0.2162564096567104,"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."}}