{"id":"W2774780434","doi":"10.1016/j.ejcon.2017.11.004","title":"Optimal tracking control for a class of boundary controlled linear coupled hyperbolic PDE systems: Application to plug flow reactor with temperature output feedback","year":2017,"lang":"en","type":"article","venue":"European Journal of Control","topic":"Stability and Controllability of Differential Equations","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Linear-quadratic regulator; Boundary (topology); Mathematics; Optimal control; Partial differential equation; Controller (irrigation); Linear-quadratic-Gaussian control; Hyperbolic partial differential equation; Riccati equation; Regulator; Quadratic equation; Distributed parameter system; Applied mathematics; Mathematical optimization; Computer science; Mathematical analysis; Control (management)","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":[0.0009039862,0.0008489342,0.0007423335,0.0003080184,0.0003453439,0.001082282,0.0005898738,0.001053947,0.001004074],"category_scores_gemma":[0.001165507,0.0003461303,0.0005947489,0.0002369407,0.000965922,0.0005288603,0.001024526,0.0008004378,0.0001549045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004539704,"about_ca_system_score_gemma":0.0006545724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002506435,"about_ca_topic_score_gemma":0.001159,"domain_scores_codex":[0.9996676,0.0001146072,0.00001431225,0.00009026163,0.00007556255,0.00003758942],"domain_scores_gemma":[0.9995106,0.0002777567,0.00008070288,0.0000198264,0.0000930373,0.00001799545],"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":[0.0001412178,0.00009086085,0.0005952311,0.0004311723,0.00005663111,0.0003397055,0.0002956293,0.9063603,0.0335913,0.02325802,0.0008563811,0.03398363],"study_design_scores_gemma":[0.00001595709,0.00009105416,0.0001076512,0.000008838288,0.000009420717,0.00001916738,0.0000176478,0.9950874,0.00182683,0.002231877,0.0005763233,0.000007821423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03035105,0.0004941471,0.9642688,0.000220557,0.00006564887,0.00004637841,0.00002238444,0.0001722452,0.004358812],"genre_scores_gemma":[0.9602633,0.000480089,0.03549119,0.00007357455,0.00005261311,0.0001569215,0.00004818533,0.00003463854,0.003399346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002506435,"threshold_uncertainty_score":0.004983664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01151667803893103,"score_gpt":0.2227078943209601,"score_spread":0.2111912162820291,"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."}}