{"id":"W2003677943","doi":"10.1002/acs.1193","title":"Robust adaptive MPC for constrained uncertain nonlinear systems","year":2010,"lang":"en","type":"article","venue":"International Journal of Adaptive Control and Signal Processing","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Hatch (Canada)","funders":"","keywords":"Parameterized complexity; Minimax; Control theory (sociology); Model predictive control; Mathematical optimization; Lipschitz continuity; Computer science; Nonlinear system; Stability (learning theory); Simple (philosophy); Adaptive control; Computation; Mathematics; Control (management); Algorithm; Artificial intelligence; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0003960041,0.0001943515,0.000358671,0.0001889552,0.00008015895,0.0001520383,0.0002162225,0.0001044917,0.000006978412],"category_scores_gemma":[0.00009734438,0.0001688086,0.00009617971,0.00006582048,0.00008930749,0.0005915651,0.00001090055,0.0003288964,8.108632e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007614175,"about_ca_system_score_gemma":0.0001118221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006050905,"about_ca_topic_score_gemma":0.000006992803,"domain_scores_codex":[0.998696,0.00002955734,0.0005982159,0.0001431094,0.0003361332,0.0001969505],"domain_scores_gemma":[0.9976422,0.0002231287,0.0003839556,0.00004630027,0.001588356,0.0001160309],"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":[0.000821472,0.00003832099,0.00007734971,0.00004778414,0.0004809919,0.00004311918,0.0002348434,0.8931624,0.04713575,0.002824496,0.00006111972,0.05507236],"study_design_scores_gemma":[0.003453891,0.0001855334,0.00005730251,0.0002052815,0.00005769647,0.0002434054,0.0003346838,0.9937409,0.0001994824,0.0005812385,0.0007587916,0.0001818587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00474282,0.001433428,0.9919157,0.0001502141,0.0009315233,0.0002925628,0.00007263727,0.00004427249,0.0004168694],"genre_scores_gemma":[0.9660949,0.00001814678,0.03251321,0.00004979657,0.001235384,0.00002027185,0.000004796145,0.00003137628,0.00003217568],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9613521,"threshold_uncertainty_score":0.6883817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652370800004385,"score_gpt":0.2372060257049836,"score_spread":0.2206823177049398,"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."}}