{"id":"W3003029825","doi":"10.1155/2020/2565316","title":"Adaptive Fuzzy Sliding Mode Control for a 3-DOF Parallel Manipulator with Parameters Uncertainties","year":2020,"lang":"en","type":"article","venue":"Complexity","topic":"Robotic Mechanisms and Dynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; York University","keywords":"Control theory (sociology); Trajectory; Computer science; Kinematics; Controller (irrigation); Sliding mode control; Fuzzy logic; Lyapunov stability; Lyapunov function; Stability (learning theory); Nonlinear system; Artificial intelligence; Control (management)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004626265,0.0007368539,0.0004638188,0.000274326,0.000488193,0.0005236541,0.0007457589,0.0007096136,0.001080332],"category_scores_gemma":[0.0006657233,0.0002576117,0.0005495368,0.0002619564,0.0005166508,0.0003831223,0.0004747855,0.0006125981,0.000137777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004127922,"about_ca_system_score_gemma":0.0007483698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009943889,"about_ca_topic_score_gemma":0.005773548,"domain_scores_codex":[0.9997843,0.00003128291,0.00001582787,0.00007018432,0.00007103391,0.00002739745],"domain_scores_gemma":[0.9997863,0.00005866139,0.00005575463,0.00001895267,0.00006942821,0.00001084736],"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":[0.0001836132,0.00004916873,0.000715954,0.0001736208,0.00006372434,0.000327762,0.0002221881,0.90162,0.02332778,0.005688251,0.0007318043,0.06689619],"study_design_scores_gemma":[0.00001782342,0.000106388,0.0002971037,0.000007023694,0.00001227755,0.00002430471,0.00001052928,0.9968647,0.001312857,0.0006922321,0.0006468827,0.000007772756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07918913,0.0004703836,0.9140711,0.0001721628,0.0001261224,0.0000649627,0.00004295357,0.0004181756,0.005445019],"genre_scores_gemma":[0.9766283,0.0002056174,0.02046705,0.00003351491,0.00002769967,0.00008823731,0.00003142824,0.000008379295,0.002509714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009943889,"threshold_uncertainty_score":0.01977205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08019380069548869,"score_gpt":0.2415767226116148,"score_spread":0.1613829219161261,"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."}}