{"id":"W3130757460","doi":"10.1504/ijmic.2020.10035847","title":"Modelling, identification, implementation and MATLAB simulations of multi-input multi-output proportional integral-plus control strategies for a centrifugal chiller system","year":2020,"lang":"en","type":"article","venue":"International Journal of Modelling Identification and Control","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"John Abbott College; Concordia University","funders":"","keywords":"Control theory (sociology); System identification; MATLAB; Robustness (evolution); Chiller; HVAC; Autoregressive–moving-average model; Autoregressive model; MIMO; Computer science; Control engineering; Polynomial; Noise (video); Engineering; Mathematics; Data modeling; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004188842,0.0002270717,0.0004237135,0.0002849127,0.0001096142,0.0002565251,0.0002421776,0.0001003589,0.000006195511],"category_scores_gemma":[0.00005346004,0.0002109054,0.0001344912,0.0001133222,0.00005788523,0.000881812,0.000012403,0.0001619624,0.000001612016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001575222,"about_ca_system_score_gemma":0.000112215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002467217,"about_ca_topic_score_gemma":0.000007502422,"domain_scores_codex":[0.9973537,0.00005719147,0.001671504,0.0002653791,0.000474235,0.0001780401],"domain_scores_gemma":[0.9967237,0.0001270234,0.001059242,0.0001207007,0.001833782,0.0001356018],"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":[0.0002162664,0.00003991472,0.0002104616,0.000130949,0.0003766047,0.000001839065,0.0008560802,0.9850644,0.008989177,0.002880399,0.00002418899,0.001209721],"study_design_scores_gemma":[0.007266046,0.00004034058,0.000179627,0.00008778649,0.0001701357,0.00002181234,0.001290573,0.9897829,0.0005838274,0.0002339149,0.0001628828,0.0001801832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02518038,0.0006851801,0.9717272,0.0005849805,0.000500412,0.0009044384,0.00034314,0.00007030007,0.000003957445],"genre_scores_gemma":[0.9880226,0.0001339423,0.0113179,0.00004461648,0.0002472821,0.00005888729,0.0001072807,0.00003982605,0.00002764364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9628422,"threshold_uncertainty_score":0.8600474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02914693380824625,"score_gpt":0.278908153854342,"score_spread":0.2497612200460957,"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."}}