{"id":"W2100210661","doi":"10.1109/tmech.2010.2041464","title":"Robust Adaptive Fuzzy Output Feedback Control System for Robot Manipulators","year":2010,"lang":"en","type":"article","venue":"IEEE/ASME Transactions on Mechatronics","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Control theory (sociology); Controller (irrigation); Adaptive control; Fuzzy control system; Fuzzy logic; Computer science; Lyapunov function; Estimator; Robust control; Trajectory; Control engineering; Control system; Mathematics; Control (management); Engineering; Nonlinear system; Artificial intelligence","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":[0.0003846834,0.0005405487,0.0004545226,0.0002328861,0.0003287234,0.0005234782,0.000688347,0.0008249875,0.001696964],"category_scores_gemma":[0.0005730685,0.0001531684,0.0003538002,0.0002469777,0.0003321024,0.0003525635,0.0004089657,0.0005576998,0.0003987318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00034024,"about_ca_system_score_gemma":0.0003944914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003453218,"about_ca_topic_score_gemma":0.002448062,"domain_scores_codex":[0.9997228,0.0000403407,0.00001907458,0.0000702477,0.0001248256,0.00002275069],"domain_scores_gemma":[0.9998528,0.00003250869,0.00003390947,0.00001254313,0.00006142332,0.000006878013],"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":[0.0002372227,0.0000948728,0.0007454464,0.0005689199,0.000139147,0.0007633418,0.0003556309,0.5849875,0.07915639,0.04715558,0.004359972,0.281436],"study_design_scores_gemma":[0.00004797748,0.0001994199,0.0004107912,0.00001976862,0.00002363013,0.0001110049,0.00001459285,0.9863729,0.003230856,0.003171858,0.006377022,0.00002006994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01219661,0.0008867374,0.9820828,0.0001543401,0.0001264852,0.00003917834,0.00003064168,0.0007665653,0.003716512],"genre_scores_gemma":[0.8663384,0.0007357346,0.1239442,0.0001833321,0.0001462546,0.0002541661,0.0001384919,0.00003216767,0.008227281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003453218,"threshold_uncertainty_score":0.006866276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574965341960841,"score_gpt":0.2125716880055799,"score_spread":0.1868220345859714,"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."}}