{"id":"W1947045349","doi":"10.1109/ccece.1995.526305","title":"Dynamic linear optimisation of processes by quadratic controller with constraints","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Control theory (sociology); Linear-quadratic regulator; Controller (irrigation); Grinding; Process control; Process (computing); Internal model; Computer science; Optimal control; Quadratic equation; Control engineering; Mathematical optimization; Linear system; Control (management); Engineering; Mathematics; 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":[0.00003278894,0.0001134982,0.0001917757,0.00004284733,0.00001850174,0.000009276895,0.00005360848,0.00004595295,0.0001737432],"category_scores_gemma":[0.00003694869,0.00009270247,0.00001441029,0.0001545767,0.0000474498,0.0001765538,0.000002530198,0.0000459701,0.00001605466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003303754,"about_ca_system_score_gemma":0.000006523309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002844728,"about_ca_topic_score_gemma":0.00001111094,"domain_scores_codex":[0.999415,0.000009950319,0.000231348,0.0001015007,0.0001189675,0.000123281],"domain_scores_gemma":[0.9996522,0.00005384242,0.00005765294,0.00009382339,0.0001086789,0.0000337956],"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":[0.00001091511,0.00002476625,0.00005900016,0.0001673453,0.00005638932,6.023365e-7,0.0001620217,0.9897682,0.006914192,0.00008219159,0.0002433681,0.002511025],"study_design_scores_gemma":[0.00114678,0.00004972288,0.000006740915,0.00004144341,0.00001410438,0.000005056458,0.00009318115,0.9968674,0.001542413,0.00001402845,0.00009830215,0.0001208888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008563725,0.0006314512,0.9811046,0.00003864954,0.00003376272,0.0004139437,0.00001218705,0.0002699984,0.008931687],"genre_scores_gemma":[0.9820989,0.00005992392,0.01722477,0.00001420778,0.000007407491,0.00003436924,0.000009864942,0.00002529816,0.000525253],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9735352,"threshold_uncertainty_score":0.3780297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004672284463977356,"score_gpt":0.1835291071066422,"score_spread":0.1788568226426648,"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."}}