{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001522924,0.0002993885,0.0003830541,0.00006063846,0.0001645837,0.0001208755,0.00005975254,0.0001019238,0.00001100255],"category_scores_gemma":[0.00001831561,0.0002789448,0.00006081001,0.0002298265,0.00005023716,0.0002242944,0.000004728161,0.0002231139,0.000002913999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001137659,"about_ca_system_score_gemma":0.00002423094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009667803,"about_ca_topic_score_gemma":0.000009845859,"domain_scores_codex":[0.9987008,0.00003283406,0.0003298921,0.0004079602,0.0001690436,0.0003594705],"domain_scores_gemma":[0.9992439,0.0003952996,0.000004875782,0.0001400941,0.00004290632,0.0001729098],"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":[0.0003436024,0.00004050766,0.0009676427,0.0009210432,0.0001283699,0.00001650037,0.0002356795,0.9795714,0.01503066,0.00006234509,0.00009803747,0.002584193],"study_design_scores_gemma":[0.001917219,0.0002692062,0.0002706388,0.0004323539,0.0000610171,0.00000572722,0.00004435932,0.9842036,0.005221706,0.00001559882,0.007217673,0.0003409465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3467555,0.003973051,0.6456895,0.0003519799,0.0006049379,0.001241958,0.0008766126,0.0004709824,0.00003539892],"genre_scores_gemma":[0.9979593,0.0001794569,0.001058754,0.0002644216,0.0001404273,0.0001775853,0.000112009,0.0000794454,0.00002861918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6512038,"threshold_uncertainty_score":0.9999663,"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."}}