{"id":"W1495128038","doi":"10.1109/rasm.2015.7154652","title":"Adaptive chattering-free sliding mode control design using fuzzy model of the system and estimated uncertainties and its application to robot manipulators","year":2015,"lang":"en","type":"article","venue":"","topic":"Adaptive Control of Nonlinear Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Control theory (sociology); Robustness (evolution); Sliding mode control; Adaptive control; Fuzzy logic; Computer science; Robust control; Lyapunov function; PID controller; Fuzzy control system; Control engineering; Robot; Controller (irrigation); Control system; Engineering; Artificial intelligence; Nonlinear system; Temperature control; Control (management)","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":[0.0004001342,0.0005247541,0.0003844505,0.0002818679,0.0002634937,0.0003032901,0.00067562,0.0006262404,0.0007320501],"category_scores_gemma":[0.0008423662,0.0002008448,0.0004916789,0.000166909,0.0003769615,0.0003609185,0.0002995449,0.0005566597,0.0001086693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002648573,"about_ca_system_score_gemma":0.0004268751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003323468,"about_ca_topic_score_gemma":0.00225771,"domain_scores_codex":[0.9998096,0.00002812748,0.00001229777,0.00004518862,0.00008680225,0.00001814752],"domain_scores_gemma":[0.9997907,0.00007272778,0.0000332489,0.00002284077,0.00007295187,0.000007533996],"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":[0.0001393219,0.00005128295,0.0006065232,0.0003176302,0.00007488073,0.0002733509,0.0003404452,0.7623736,0.05702415,0.01312789,0.0006918377,0.1649791],"study_design_scores_gemma":[0.00001190113,0.00009378744,0.0002421874,0.00001205299,0.00001070103,0.00003997828,0.000009297513,0.9930419,0.004374103,0.001158442,0.000996828,0.000008723433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01338658,0.0002244737,0.9850228,0.00003966801,0.00003227122,0.00002026838,0.000007060128,0.0002086918,0.001058248],"genre_scores_gemma":[0.9061965,0.0003072,0.09150126,0.00004446386,0.00003390141,0.0001054298,0.00003845781,0.00002099503,0.001751636],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003323468,"threshold_uncertainty_score":0.006608248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08886934577814012,"score_gpt":0.2597264246416996,"score_spread":0.1708570788635595,"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."}}