{"id":"W4313644954","doi":"10.1016/j.ins.2022.12.115","title":"Data-driven set-point control for nonlinear nonaffine systems","year":2023,"lang":"en","type":"article","venue":"Information Sciences","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Control theory (sociology); Controller (irrigation); Nonlinear system; Computer science; Feedback linearization; Parametric statistics; Convergence (economics); Nonlinear control; Linearization; Mathematics; Control (management); 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":[0.001071555,0.000706241,0.0008700341,0.0003898373,0.0003528084,0.001067953,0.0009696226,0.0006941384,0.002669718],"category_scores_gemma":[0.003712575,0.0004273515,0.0004082859,0.0004817785,0.0008853311,0.0009483095,0.001758421,0.001226787,0.0003911071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006165997,"about_ca_system_score_gemma":0.0007041821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002501361,"about_ca_topic_score_gemma":0.001729309,"domain_scores_codex":[0.9995703,0.0001278274,0.00002490147,0.0000755011,0.0001622042,0.0000392579],"domain_scores_gemma":[0.9988043,0.0006806856,0.0001062346,0.00009255629,0.000274926,0.00004129232],"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":[0.0003123073,0.00007711005,0.0003044916,0.0003820236,0.00004299883,0.00007222709,0.0001762384,0.8729186,0.008374177,0.04979336,0.00209981,0.06544667],"study_design_scores_gemma":[0.000009571192,0.00003608113,0.00006274461,0.000007086382,0.000002346495,0.000005246817,0.000004927157,0.9896263,0.001045323,0.008803184,0.0003912808,0.00000583268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01886221,0.0002573831,0.977453,0.0001893016,0.00009711234,0.00004818278,0.00009998826,0.0002352474,0.002757642],"genre_scores_gemma":[0.960284,0.0002315126,0.03567451,0.00009263839,0.00004699317,0.0001849742,0.0002023194,0.00008742733,0.003195526],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002669718,"threshold_uncertainty_score":0.0089311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03758642766272343,"score_gpt":0.2873254562412145,"score_spread":0.249739028578491,"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."}}