{"id":"W4362722114","doi":"10.1016/j.compag.2023.107820","title":"Closed-loop operation of a simulated recirculating aquaculture system with an integrated application of nonlinear model predictive control and moving horizon estimation","year":2023,"lang":"en","type":"article","venue":"Computers and Electronics in Agriculture","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Model predictive control; Control theory (sociology); Nonlinear system; Water quality; Recirculating aquaculture system; Controller (irrigation); Closed loop; Noise (video); Engineering; Environmental science; Environmental engineering; Control engineering; Computer science; Aquaculture; Control (management); Fish <Actinopterygii>; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003141991,0.0005949042,0.0006098234,0.0002916669,0.0006346866,0.0005443194,0.0006838053,0.0008692878,0.002226717],"category_scores_gemma":[0.0008956971,0.0002465653,0.0003970484,0.000169334,0.0004718971,0.000367704,0.0003851216,0.0005281727,0.000274712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005331453,"about_ca_system_score_gemma":0.0007102428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0151859,"about_ca_topic_score_gemma":0.008464003,"domain_scores_codex":[0.9998248,0.00004844196,0.00001307668,0.00003840874,0.00004713208,0.00002819659],"domain_scores_gemma":[0.9993824,0.0003099724,0.00005843817,0.00004946159,0.0001536598,0.00004597357],"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":[0.001550436,0.0003803461,0.005001687,0.0002516138,0.0001124336,0.0007588126,0.0003420543,0.9344128,0.04102366,0.0006645954,0.000769197,0.01473238],"study_design_scores_gemma":[0.0001059652,0.0005082702,0.00270183,0.000007843601,0.00002658618,0.00003782451,0.00006209561,0.9850272,0.01105352,0.000147343,0.0003009245,0.00002057625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785362,0.00004438642,0.01695397,0.00009814987,0.00005220501,0.00006810285,0.0002109459,0.0009658209,0.003070217],"genre_scores_gemma":[0.9984267,0.000008136537,0.0009821133,0.000007209885,0.000001113788,0.00001866117,0.00005863796,0.000009732979,0.0004877518],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0151859,"threshold_uncertainty_score":0.030195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003297167144631957,"score_gpt":0.195192489168321,"score_spread":0.1918953220236891,"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."}}