{"id":"W202788584","doi":"10.20965/jaciii.2004.p0324","title":"Position Control of Direct-Drive Robot Manipulators with PMAC Motors Using Enhanced Fuzzy PD Control","year":2004,"lang":"en","type":"article","venue":"Journal of Advanced Computational Intelligence and Intelligent Informatics","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"PMAC; Control theory (sociology); Computer science; Controller (irrigation); Stator; Control engineering; Fuzzy logic; Control system; Control (management); Artificial intelligence; Engineering","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":[0.0002244568,0.0003895288,0.0002178944,0.0001632205,0.0002013719,0.0003751647,0.0005407172,0.0003030419,0.0007145113],"category_scores_gemma":[0.0004730066,0.0001526941,0.0001341415,0.0001306991,0.0002826537,0.0002552236,0.000286013,0.0004339044,0.0002161414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000178881,"about_ca_system_score_gemma":0.0002617437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008542626,"about_ca_topic_score_gemma":0.001105637,"domain_scores_codex":[0.9998431,0.00001778133,0.00001063722,0.00003570657,0.00008310011,0.000009714131],"domain_scores_gemma":[0.9998338,0.00003874191,0.00004059598,0.00001705864,0.00005980908,0.000009859011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000349808,0.0001775286,0.001115839,0.0005390891,0.00004059183,0.0004906814,0.0002384745,0.1819088,0.3366285,0.01184478,0.002125646,0.4645403],"study_design_scores_gemma":[0.0001575833,0.001019584,0.002718772,0.00003365641,0.00003034285,0.0004816533,0.00003397788,0.9247993,0.05761263,0.00330261,0.009772032,0.00003797863],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0552899,0.000505264,0.938381,0.0001319421,0.00009828099,0.00008583107,0.00002893459,0.000565423,0.004913467],"genre_scores_gemma":[0.8613213,0.0002647107,0.1339042,0.00004070014,0.00004755016,0.0001116156,0.00004044399,0.00001157507,0.004257912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008542626,"threshold_uncertainty_score":0.002390265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01065348511175285,"score_gpt":0.233559434845584,"score_spread":0.2229059497338312,"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."}}