{"id":"W2141605360","doi":"10.3390/robotics2020066","title":"Computationally Efficient Adaptive Type-2 Fuzzy Control of Flexible-Joint Manipulators","year":2013,"lang":"en","type":"article","venue":"Robotics","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Ottawa","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Fuzzy logic; Adaptive control; Interval (graph theory); Computer science; Lyapunov function; Actuator; Lyapunov stability; Torque; Stability (learning theory); Fuzzy control system; Acceleration; Control engineering; Mathematics; Engineering; Control (management); Artificial intelligence; Nonlinear system","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":[0.000168621,0.0001387442,0.0002812612,0.00007978853,0.0000599961,0.00005929366,0.0004316,0.00006576719,0.00001111544],"category_scores_gemma":[0.00002468915,0.0001159473,0.00008523161,0.000273928,0.00005038471,0.0001053185,0.00009329143,0.00008358516,0.0003288577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004616633,"about_ca_system_score_gemma":0.00008278147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007252142,"about_ca_topic_score_gemma":8.731081e-7,"domain_scores_codex":[0.9986929,0.00007192964,0.000370356,0.0002516229,0.0003617042,0.0002515414],"domain_scores_gemma":[0.9988562,0.0001190204,0.0001838248,0.0003511822,0.0003868266,0.0001029215],"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":[0.000004292683,0.00005681576,0.0002035952,0.00000750049,0.00003537284,0.000002775111,0.0001572487,0.5056971,0.0001578818,0.4921242,0.0003058932,0.001247342],"study_design_scores_gemma":[0.0008716477,0.0003323735,0.02102864,0.00003374185,0.00001783204,0.00001298437,0.0001108838,0.961043,0.00006039944,0.01624336,0.00002714153,0.0002180112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007287543,0.0002248264,0.979881,0.0004745796,0.0007061425,0.0004452759,0.00000225555,0.0001149342,0.0108634],"genre_scores_gemma":[0.9738031,9.221964e-7,0.02562959,0.0002196781,0.00006854767,0.00001269622,0.000001569181,0.000008313767,0.0002555496],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9665156,"threshold_uncertainty_score":0.4728192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446544129469532,"score_gpt":0.2154730041970007,"score_spread":0.1910075629023054,"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."}}