{"id":"W1606041961","doi":"10.1109/acc.2015.7172174","title":"A note on optimal control of a class of single input nonlinear systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Riccati equation; Nonlinear system; Control theory (sociology); Lyapunov function; Polynomial; Mathematics; Class (philosophy); Function (biology); State (computer science); Algebraic Riccati equation; Optimal control; Applied mathematics; Linear system; Linear-quadratic-Gaussian control; Stability (learning theory); Van der Pol oscillator; State variable; Mathematical optimization; Differential equation; Control (management); Computer science; Mathematical analysis; Algorithm","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":[0.0003154812,0.0001233468,0.0004273329,0.00006918074,0.000007345027,0.00001092603,0.0001319011,0.00009629902,0.000007228144],"category_scores_gemma":[0.00009813474,0.000103852,0.000083272,0.000104385,0.00004004672,0.00005686169,0.000009226229,0.00007423453,0.00001673435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007584441,"about_ca_system_score_gemma":0.00003735116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001731541,"about_ca_topic_score_gemma":0.00001947098,"domain_scores_codex":[0.998975,0.00004465582,0.0004378174,0.0001122236,0.0002633957,0.0001669475],"domain_scores_gemma":[0.9992276,0.0001720038,0.00006926728,0.0002773849,0.0001645837,0.00008915901],"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":[0.0003781689,0.0002109911,0.0005210832,0.0004011558,0.0001562907,0.000005514984,0.000848648,0.9538085,0.03978917,0.002228918,0.0004917566,0.001159826],"study_design_scores_gemma":[0.002858392,0.0006444949,0.0000468159,0.0001222544,0.00002888825,0.000005460519,0.0005879461,0.9805734,0.006928803,0.00001371739,0.008022965,0.0001668275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7758002,0.001269535,0.1630087,0.0001756321,0.00157725,0.001046142,0.0001220279,0.0003707997,0.05662964],"genre_scores_gemma":[0.9992695,0.000001022593,0.0004634119,0.0000188816,0.0001154178,0.00001543921,0.000001901239,0.00001726336,0.00009717969],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2234693,"threshold_uncertainty_score":0.423496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042218161178775,"score_gpt":0.2247218887874868,"score_spread":0.2042997071756991,"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."}}