{"id":"W2563987480","doi":"10.1109/cdc.1991.261640","title":"Adaptive pole placement control of MIMO systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Observability; Coprime integers; MIMO; Control theory (sociology); Controller (irrigation); Full state feedback; Adaptive control; Computer science; Control (management); Control engineering; Mathematics; Algorithm; Engineering; Artificial intelligence; Applied mathematics; Telecommunications","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":[0.00007753698,0.00006356392,0.000140493,0.00002842975,0.00001134941,0.000007762465,0.00004858696,0.00003013593,0.0006893873],"category_scores_gemma":[0.000006449086,0.00005532356,0.00002871675,0.00006061085,0.00001058217,0.00003887737,0.000004085562,0.0000268903,0.00005641473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003596185,"about_ca_system_score_gemma":0.000001937844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002066435,"about_ca_topic_score_gemma":0.00000475417,"domain_scores_codex":[0.9995222,0.00002260126,0.0001993771,0.00006472938,0.00009400103,0.00009707593],"domain_scores_gemma":[0.9997439,0.00002599661,0.00001916434,0.000134915,0.00003529734,0.00004074793],"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":[0.000009870369,0.00005960317,0.0009190572,0.0001230636,0.00009433131,9.700755e-7,0.0005059041,0.983903,0.0003226007,0.005158398,0.008776548,0.0001266745],"study_design_scores_gemma":[0.0004293389,0.00002654334,0.00008776051,0.00001132899,0.000005068617,9.868645e-7,0.0002714462,0.9954982,0.0001982261,0.000001309981,0.003404269,0.00006550099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001536633,0.0008227808,0.8119409,0.00002094378,0.000382922,0.0002724558,0.00002318544,0.0001811462,0.184819],"genre_scores_gemma":[0.9984381,0.000007408813,0.0002166316,0.00001042246,0.00000675255,0.00001333295,7.272147e-7,0.000007231942,0.001299453],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9969014,"threshold_uncertainty_score":0.7548308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412841829895106,"score_gpt":0.1856743649349275,"score_spread":0.1715459466359764,"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."}}