{"id":"W2099321323","doi":"10.23919/acc.2004.1384429","title":"Decentralized two-time-scale motions control using generalized sampled-data hold functions","year":2004,"lang":"en","type":"article","venue":"","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Control theory (sociology); Discretization; LTI system theory; Controller (irrigation); Sampled data systems; Discrete time and continuous time; Computer science; Scale (ratio); Decentralised system; Linear system; Invariant (physics); Mathematics; Control system; Control (management); Engineering; Mathematical analysis; 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":[0.0003874338,0.0004565472,0.0004110109,0.0001211202,0.0002250671,0.0003987926,0.0006286267,0.0002415741,0.0008384087],"category_scores_gemma":[0.0005621759,0.0001487332,0.0002992281,0.0001498701,0.0004440232,0.0004373465,0.0004685862,0.0004448006,0.000114717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003577972,"about_ca_system_score_gemma":0.0004334831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001492951,"about_ca_topic_score_gemma":0.001784404,"domain_scores_codex":[0.9997657,0.0000492233,0.00001248342,0.00006679656,0.00008272443,0.00002312127],"domain_scores_gemma":[0.9997749,0.00006427964,0.0000511723,0.0000470611,0.00004674397,0.00001594101],"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":[0.0003606787,0.0001485084,0.0006967706,0.000198669,0.0000836121,0.0001679508,0.0001644232,0.7143967,0.08065528,0.03662371,0.001459788,0.1650439],"study_design_scores_gemma":[0.00005006989,0.0002160077,0.0003293535,0.000004335191,0.000009767881,0.00002294414,0.000007452374,0.9888101,0.005934229,0.003261625,0.001344156,0.00001009089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02152131,0.0000845714,0.9764096,0.00005988089,0.00004501639,0.00003169441,0.00002056912,0.0003078229,0.001519517],"genre_scores_gemma":[0.942755,0.00007066996,0.05561445,0.00004288014,0.00003143911,0.00006446712,0.00004078453,0.00001913136,0.001361053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001492951,"threshold_uncertainty_score":0.00296855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04887142474075887,"score_gpt":0.2939126274341197,"score_spread":0.2450412026933609,"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."}}