{"id":"W4289532498","doi":"10.18280/ejee.240302","title":"A Robust LQR-Based Fuzzy-Immune PID Applied for a Greenhouse Temperature Networked Control","year":2022,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); PID controller; Robustness (evolution); Linear-quadratic regulator; Control engineering; Fuzzy logic; Computer science; Control system; MATLAB; Temperature control; Engineering; Control (management); Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005906032,0.0003819308,0.0005052049,0.0002745146,0.0002679448,0.0005364827,0.0007144817,0.0006896986,0.00141267],"category_scores_gemma":[0.000770157,0.0001488616,0.0004688154,0.0001896301,0.0003245491,0.0003141746,0.0004253482,0.0004274287,0.0003273539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003072831,"about_ca_system_score_gemma":0.0004068228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001437729,"about_ca_topic_score_gemma":0.001050101,"domain_scores_codex":[0.9997026,0.00004875265,0.00001639932,0.00008314741,0.0001289739,0.00002001246],"domain_scores_gemma":[0.9998515,0.00004076417,0.00002455232,0.00001374036,0.00006184314,0.000007610599],"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":[0.0002393686,0.0001807939,0.0007808854,0.0004911514,0.0001471393,0.000376611,0.000206507,0.6371448,0.08649028,0.01137499,0.002296575,0.2602709],"study_design_scores_gemma":[0.00002952297,0.0002474956,0.0002616632,0.00001259223,0.00002287598,0.00008210223,0.000008789248,0.9896925,0.006689729,0.0007220518,0.002215805,0.00001472618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01324387,0.000444701,0.9803608,0.00009751668,0.0001496435,0.0000573166,0.00001818056,0.0006799038,0.004948017],"genre_scores_gemma":[0.8732767,0.0003427788,0.1214851,0.0001773628,0.00007408165,0.0001511219,0.00005454619,0.00003852281,0.00439989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001437729,"threshold_uncertainty_score":0.004725814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005979433699383335,"score_gpt":0.159242715426101,"score_spread":0.1532632817267177,"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."}}