{"id":"W1554374843","doi":"10.1002/asjc.777","title":"Robust Control System Design for an Uncertain Nonlinear System Using Minimax <scp>LQG</scp> Design Method","year":2013,"lang":"en","type":"article","venue":"Asian Journal of Control","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Linear-quadratic-Gaussian control; Optimal projection equations; Feedback linearization; Minimax; Nonlinear system; Robust control; Linear-quadratic regulator; Linearization; Controller (irrigation); Optimal control; Mathematics; Computer science; Mathematical optimization; Control (management)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004217381,0.0007248578,0.002009235,0.0005159957,0.0002145823,0.0003385659,0.0008352624,0.0003897345,0.000007383153],"category_scores_gemma":[0.0005940092,0.0006309822,0.0006002352,0.0002832665,0.00006430432,0.001056268,0.00001520937,0.000551966,0.00004706366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007837607,"about_ca_system_score_gemma":0.00034693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002681024,"about_ca_topic_score_gemma":0.000003005343,"domain_scores_codex":[0.9941102,0.001607769,0.002120102,0.0004157833,0.0006928878,0.001053283],"domain_scores_gemma":[0.9936603,0.002375441,0.001171737,0.0005548932,0.001501959,0.000735648],"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":[0.0002634251,0.00007059153,0.0000693987,0.0004906359,0.00150882,0.0001489381,0.000416375,0.9678063,0.02259379,0.0002669187,0.001753213,0.004611562],"study_design_scores_gemma":[0.009992252,0.001097547,0.00007046803,0.0006757659,0.0007379834,0.001201809,0.004431294,0.9800267,0.0005642086,0.00002449017,0.0008813807,0.0002961356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001462466,0.001634151,0.9912019,0.0001019847,0.001432122,0.003411914,0.00008192232,0.000287167,0.0003864231],"genre_scores_gemma":[0.6424554,0.000001991551,0.3553056,0.00005276892,0.001845103,0.0001162242,0.000002359237,0.0001802292,0.00004028027],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6409929,"threshold_uncertainty_score":0.9996141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05785589056672266,"score_gpt":0.2652519075480431,"score_spread":0.2073960169813205,"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."}}