{"id":"W2031464538","doi":"10.1115/1.4003385","title":"Modified Generalized Predictive Control of Networked Systems With Application to a Hydraulic Position Control System","year":2011,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Model predictive control; Control theory (sociology); Controller (irrigation); Position (finance); Actuator; Networked control system; Control system; Computer science; Stability (learning theory); Control (management); Control engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006263587,0.0006604896,0.0007236897,0.000225097,0.0002912359,0.0006104382,0.0007975123,0.0006767239,0.0006850688],"category_scores_gemma":[0.001643058,0.0002445052,0.0003840383,0.0003994603,0.0005767907,0.0003949911,0.0006027665,0.0006656589,0.00007927256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004631028,"about_ca_system_score_gemma":0.0006636784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006414203,"about_ca_topic_score_gemma":0.00511642,"domain_scores_codex":[0.9995465,0.0001416486,0.00002328761,0.00007854198,0.0001749862,0.00003506643],"domain_scores_gemma":[0.9995281,0.0002316842,0.00006842448,0.00004157511,0.0001179805,0.00001238905],"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":[0.0000380157,0.00001040111,0.0001139873,0.00007509456,0.00002146102,0.0001114716,0.00005234836,0.9681902,0.003128566,0.005207478,0.0002633616,0.02278758],"study_design_scores_gemma":[0.000003794983,0.00002548996,0.00004417585,0.000002161267,0.000003754639,0.00000778164,0.000001850467,0.9986677,0.0003098711,0.0007127908,0.0002174826,0.000003018598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02402725,0.0006429139,0.9723783,0.0001768517,0.0001202179,0.00003476212,0.00002345486,0.0002563314,0.002340084],"genre_scores_gemma":[0.9571193,0.0004290778,0.04065057,0.00006105522,0.00007621771,0.0001002826,0.00003440995,0.00002137671,0.001507666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006414203,"threshold_uncertainty_score":0.01275373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007523219662215396,"score_gpt":0.1742825385593831,"score_spread":0.1667593188971677,"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."}}