{"id":"W2112624509","doi":"10.1109/acc.2009.5160456","title":"GPC-based remote control for hydraulic position control systems in a networked environment","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Model predictive control; Control theory (sociology); Controller (irrigation); Position (finance); Actuator; Computer science; Networked control system; Control system; Markov chain; Node (physics); Stability (learning theory); Control engineering; Control (management); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002226409,0.0002146786,0.0003741824,0.0001125475,0.0000397556,0.00003700021,0.00009249267,0.0001274886,0.00000762296],"category_scores_gemma":[0.0000164988,0.0002169416,0.00007737975,0.00009620091,0.00000920941,0.0001446846,0.000001631986,0.00008961586,0.00001601292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003329779,"about_ca_system_score_gemma":0.000009259521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003284451,"about_ca_topic_score_gemma":0.000007655648,"domain_scores_codex":[0.9987292,0.00005922899,0.0004639798,0.0002276795,0.0001451367,0.0003747289],"domain_scores_gemma":[0.9994543,0.000129701,0.0000719368,0.0002431784,0.00002361221,0.00007728308],"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":[0.0001229447,0.00001885678,0.00002115686,0.00002494456,0.00002055735,0.000003146773,0.00001008172,0.9906556,0.004190143,0.0003048225,0.0001342189,0.004493497],"study_design_scores_gemma":[0.007646263,0.0001330577,0.000283306,0.0000658151,0.00002773276,0.000003035898,0.000008219438,0.9896238,0.00008579987,0.0001767954,0.001719704,0.0002264716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008492292,0.0007854314,0.99426,0.0004718326,0.0002074331,0.002229899,0.0000144366,0.0003418676,0.0008399435],"genre_scores_gemma":[0.9948937,0.00001161835,0.004097114,0.0005335462,0.0001765689,0.0001430816,0.00003325049,0.00003801661,0.0000730484],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9940445,"threshold_uncertainty_score":0.8846622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003965449882502506,"score_gpt":0.183856983809769,"score_spread":0.1798915339272665,"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."}}