{"id":"W2153684659","doi":"10.1109/acc.2000.877010","title":"Stability issues of finite precision state estimate feedback controller realizations for discrete time systems","year":2000,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Realization (probability); Control theory (sociology); Controller (irrigation); Computer science; Stability (learning theory); State (computer science); Nonlinear system; Full state feedback; Discrete time and continuous time; Optimal control; Mathematical optimization; Control engineering; Control (management); Mathematics; Algorithm; Engineering; 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":[0.001324791,0.0005059468,0.0005667855,0.0003271174,0.000524252,0.001311443,0.0006566988,0.001027616,0.002058038],"category_scores_gemma":[0.006428443,0.0004311582,0.0003841016,0.0002534655,0.0009634675,0.001685052,0.000827581,0.001212808,0.0003474134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004734358,"about_ca_system_score_gemma":0.0006595429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006175543,"about_ca_topic_score_gemma":0.0005177963,"domain_scores_codex":[0.9989811,0.0003770589,0.00006950598,0.0001532338,0.0003580627,0.00006094935],"domain_scores_gemma":[0.9979925,0.001404356,0.0002066928,0.0001598719,0.0002084759,0.0000282182],"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":[0.0002467799,0.00004501647,0.0003148312,0.0001886173,0.00004101693,0.00012112,0.0002130557,0.6590436,0.01435649,0.223276,0.0007635024,0.10139],"study_design_scores_gemma":[0.00002064444,0.00007685732,0.00006339698,0.00001583628,0.000006418299,0.00002212355,0.00001723645,0.9603824,0.005057433,0.03332265,0.001002885,0.00001221725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00898385,0.0001399534,0.9895398,0.00006757947,0.00001967948,0.00001562234,0.00001201584,0.00007291677,0.001148576],"genre_scores_gemma":[0.7168937,0.0003811668,0.2801253,0.00006151267,0.00006564321,0.0002357941,0.0001325309,0.00009587956,0.002008395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002058038,"threshold_uncertainty_score":0.007006228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01544877179990908,"score_gpt":0.2612395342946066,"score_spread":0.2457907624946975,"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."}}