{"id":"W2130323712","doi":"10.1109/tsmcb.2004.843180","title":"Designing Stable MIMO Fuzzy Controllers","year":2005,"lang":"en","type":"letter","venue":"IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Control theory (sociology); Fuzzy logic; Controller (irrigation); Fuzzy control system; Computer science; Nonlinear system; Control engineering; MIMO; Open-loop controller; Extension (predicate logic); Transformation (genetics); Control (management); Artificial intelligence; Engineering; Closed loop","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","scholarly_communication","research_integrity"],"consensus_categories":["metaepi_narrow","research_integrity"],"category_scores_codex":[0.0008171991,0.001389875,0.001834155,0.0005975387,0.0006144542,0.001493153,0.001807868,0.001698975,0.00004508571],"category_scores_gemma":[0.00001114202,0.001330519,0.0005410468,0.0005041942,0.0003045342,0.0003628168,0.0000263147,0.002616142,0.0006703955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003301071,"about_ca_system_score_gemma":0.0002537227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005940439,"about_ca_topic_score_gemma":0.00009970405,"domain_scores_codex":[0.9922076,0.000841265,0.001684549,0.002000624,0.001566431,0.001699547],"domain_scores_gemma":[0.9956338,0.0007009598,0.0007759219,0.002059528,0.0003294546,0.0005002976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008658262,0.0003255422,0.00001472545,0.0006599432,0.001129382,0.0006391424,0.0011739,0.01918022,0.0002705951,0.004124268,0.959739,0.01265674],"study_design_scores_gemma":[0.002948908,0.0006300507,0.00001161232,0.000825123,0.0003914367,0.0003293763,0.0001809879,0.0161492,0.0002878348,0.0006085572,0.975594,0.002042863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002514584,0.0100673,0.7751644,0.08825108,0.01474341,0.004784978,0.0003620682,0.001539974,0.1048353],"genre_scores_gemma":[0.6279922,0.002906194,0.004394835,0.1531162,0.0103894,0.001711419,0.0000858414,0.0005953148,0.1988086],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7707696,"threshold_uncertainty_score":0.9998851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0208835024759904,"score_gpt":0.2147234843527515,"score_spread":0.1938399818767612,"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."}}