{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009636462,0.000194223,0.0002468987,0.00005713508,0.000337846,0.00009311816,0.0002450917,0.00004052795,0.006098085],"category_scores_gemma":[0.000003034227,0.0001732468,0.0001389871,0.0002215007,0.0000568812,0.0003150285,0.00007505748,0.0001600676,0.0001941154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003776116,"about_ca_system_score_gemma":0.00008052191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001193114,"about_ca_topic_score_gemma":0.00003011517,"domain_scores_codex":[0.9987235,0.00005741418,0.0002876312,0.0004004647,0.0001520812,0.0003789239],"domain_scores_gemma":[0.9990216,0.00002172745,0.00008247306,0.0006175182,0.00006139671,0.0001953141],"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":[0.0001431974,0.001248194,0.004884172,0.000006493917,0.0006141521,0.000003041697,0.0001268677,0.8378752,0.0667594,0.04670999,0.02531932,0.01630998],"study_design_scores_gemma":[0.01904913,0.00006109688,0.0006071802,0.00004194759,0.0005239857,0.00002148762,0.0002171132,0.9389185,0.00383438,0.0100088,0.02569249,0.00102391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1864229,0.00004059189,0.8080864,0.0007806749,0.0004324428,0.0003165919,0.0002540733,0.000132397,0.003533854],"genre_scores_gemma":[0.9859926,0.000006030022,0.010141,0.0003022277,0.0006854504,0.00001814177,0.0005035946,0.00002885911,0.002322145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7995696,"threshold_uncertainty_score":0.9948105,"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."}}