{"id":"W1504113882","doi":"10.23919/ecc.2009.7074460","title":"The servomechanism problem for MIMO positive LTI systems: Switching tuning regulators and “Almost”-positivity","year":2009,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Control theory (sociology); MIMO; Constant (computer programming); Servomechanism; Constraint (computer-aided design); LTI system theory; Mathematics; SIGNAL (programming language); Linear system; Computer science; Control (management); Engineering; Control engineering","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":[0.0004639595,0.0001298255,0.0001566352,0.00004122278,0.0003180426,0.000286505,0.00007847036,0.00006223987,5.8367e-7],"category_scores_gemma":[0.00001352533,0.00009698737,0.00004313604,0.0000759231,0.00000613919,0.0002094541,0.00001084937,0.00007291751,0.000002506269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006147195,"about_ca_system_score_gemma":0.000006916907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001169917,"about_ca_topic_score_gemma":0.00005445844,"domain_scores_codex":[0.9992355,0.00003088637,0.000240965,0.000167335,0.0001026235,0.0002226684],"domain_scores_gemma":[0.9995424,0.0001116019,0.00004980571,0.0001731336,0.00006794758,0.00005510614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005297358,0.00003549537,0.0001585929,0.0003615063,0.0002293091,0.000003405927,0.001975556,0.005051645,0.6675615,0.186824,0.001500479,0.1362455],"study_design_scores_gemma":[0.001007027,0.000179462,0.01115977,0.0004368868,0.00008352133,0.00005756922,0.001421488,0.9651043,0.009567407,0.005659454,0.00474543,0.0005777013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4445912,0.003612803,0.5369201,0.001036876,0.00105165,0.003331967,0.00002283802,0.0008173055,0.008615261],"genre_scores_gemma":[0.9987467,0.00002128931,0.0003818562,0.00001844547,0.0001112124,0.00006090626,0.000005048398,0.00001790367,0.0006366727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9600526,"threshold_uncertainty_score":0.395503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005081397760852661,"score_gpt":0.1936016032253898,"score_spread":0.1885202054645371,"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."}}