{"id":"W4400305826","doi":"10.1080/10407790.2024.2370519","title":"Humidity and temperature nonlinear control based on almost disturbance decoupling and state observers for air-handling units","year":2024,"lang":"en","type":"article","venue":"Numerical Heat Transfer Part B Fundamentals","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Decoupling (probability); Humidity; Disturbance (geology); Nonlinear system; Control theory (sociology); Environmental science; Air temperature; Meteorology; Atmospheric sciences; Control (management); Computer science; Engineering; Control engineering; Geography; Physics; Geology; 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":[0.0004066113,0.0005174675,0.0004218091,0.0001616934,0.0002164633,0.000517618,0.0005072513,0.0003074158,0.0007860063],"category_scores_gemma":[0.0006331867,0.0002162102,0.0003031693,0.0002253308,0.000397018,0.0005830484,0.0005466656,0.0005256715,0.0001453217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003089731,"about_ca_system_score_gemma":0.0004138353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002147916,"about_ca_topic_score_gemma":0.001769659,"domain_scores_codex":[0.9997032,0.00005557248,0.00001926981,0.0000810904,0.0001160809,0.00002475222],"domain_scores_gemma":[0.9997869,0.00006432573,0.00005853546,0.00002226057,0.00006001138,0.000007867974],"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":[0.0002824074,0.0001140898,0.0009433075,0.0004746889,0.00008340783,0.0001696931,0.0002861219,0.7155354,0.09005076,0.02056438,0.001338491,0.1701573],"study_design_scores_gemma":[0.00001108746,0.0001127232,0.0003248699,0.000005261424,0.000008099582,0.0000159084,0.000007313658,0.9943082,0.003714581,0.0008656334,0.0006187444,0.000007657327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02047335,0.0002166106,0.9770468,0.00004215937,0.00005230642,0.00002547593,0.00001244586,0.0001655953,0.001965348],"genre_scores_gemma":[0.9652874,0.0002364989,0.03207014,0.00003618388,0.00004234566,0.00007222762,0.00003834736,0.00001600478,0.002200956],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002147916,"threshold_uncertainty_score":0.004270792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301007027149694,"score_gpt":0.2302043823782812,"score_spread":0.2171943121067842,"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."}}