{"id":"W2061840454","doi":"10.1016/j.isatra.2007.12.002","title":"Control of nonlinear processes by using linear model predictive control algorithms","year":2008,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Model predictive control; Nonlinear system; Control theory (sociology); Process (computing); Process control; Controller (irrigation); Simple (philosophy); Algorithm; Computer science; Nonlinear control; Control (management); Control engineering; Engineering; Artificial intelligence","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":[0.0006270709,0.0006629372,0.0006960336,0.0003487263,0.0004589066,0.001199946,0.0007038661,0.0005760062,0.001372631],"category_scores_gemma":[0.001573906,0.0003140317,0.0003954718,0.0005292943,0.0006777601,0.001085219,0.0007674046,0.000928017,0.0003530727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004037876,"about_ca_system_score_gemma":0.000558947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003553017,"about_ca_topic_score_gemma":0.003190029,"domain_scores_codex":[0.9997186,0.00007272704,0.00001628028,0.00005067481,0.0001167815,0.00002491193],"domain_scores_gemma":[0.9996574,0.0001719967,0.00005395462,0.00003843297,0.00006943157,0.000008777603],"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":[0.0001151387,0.00006888548,0.0002603582,0.0001960156,0.00005247052,0.00005266724,0.0001014775,0.834953,0.006465181,0.01643447,0.001144552,0.1401558],"study_design_scores_gemma":[0.000007467203,0.0000215971,0.00004076848,0.000003935949,0.000006166929,0.000005124719,0.000002856078,0.9960974,0.0009842479,0.002399438,0.0004274028,0.000003635217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009684893,0.0004557188,0.9867133,0.0001133466,0.00008735692,0.00002197522,0.000016858,0.0003493917,0.002557296],"genre_scores_gemma":[0.8516366,0.0008125895,0.1415104,0.0001063557,0.0001387311,0.0001461351,0.00008160809,0.00006151928,0.005506061],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003553017,"threshold_uncertainty_score":0.007064641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242718561789777,"score_gpt":0.2221536275273222,"score_spread":0.2097264419094245,"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."}}