{"id":"W4254644094","doi":"10.1109/9.956050","title":"Simultaneous stabilization with near optimal LQR performance","year":2001,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Honeywell (Canada); University of Waterloo","funders":"","keywords":"Control theory (sociology); Nonlinear system; Controller (irrigation); Stability (learning theory); Optimal control; Set (abstract data type); Linear-quadratic regulator; Computer science; Mathematics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001491159,0.001138885,0.0007162064,0.0003322272,0.000400856,0.0008649416,0.0009058883,0.0008719009,0.001389537],"category_scores_gemma":[0.003217004,0.0003472246,0.0007454107,0.0003508516,0.001271817,0.001133646,0.002467572,0.000997878,0.0003769569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004326137,"about_ca_system_score_gemma":0.0004773512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007835713,"about_ca_topic_score_gemma":0.000464046,"domain_scores_codex":[0.9985003,0.0004051217,0.0000770847,0.0003846774,0.0004646525,0.0001680364],"domain_scores_gemma":[0.9982057,0.0007471124,0.0004314183,0.0002931741,0.000243945,0.00007866045],"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":[0.00026336,0.0001371212,0.0008693516,0.0003156949,0.0001393687,0.0002858345,0.0003667023,0.7989513,0.08234183,0.05542775,0.0006985847,0.06020307],"study_design_scores_gemma":[0.00002164882,0.0003496553,0.0001969771,0.000009819239,0.00002426433,0.00005166616,0.00001645743,0.9759831,0.008985459,0.0136493,0.0006921207,0.00001945888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0369603,0.000215573,0.958172,0.0001343983,0.00003129719,0.00003937478,0.00001908718,0.0003816154,0.004046384],"genre_scores_gemma":[0.9613975,0.0001198758,0.03681887,0.00007088837,0.00004831964,0.00008770911,0.00002330503,0.00002997789,0.001403634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001491159,"threshold_uncertainty_score":0.007886112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005606760373285429,"score_gpt":0.1947840519848853,"score_spread":0.1891772916115999,"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."}}