{"id":"W3005336183","doi":"10.1155/2020/5640246","title":"Dynamic Modeling and Adaptive Robust Synchronous Control of Parallel Robotic Manipulator for Industrial Application","year":2020,"lang":"en","type":"article","venue":"Complexity","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; York University","keywords":"Control theory (sociology); Computer science; Adaptive control; Trajectory; Robust control; Lyapunov function; Lyapunov stability; Controller (irrigation); Kinematics; Synchronization (alternating current); Control engineering; Control system; Control (management); Nonlinear system; Artificial intelligence; Engineering","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":[0.0003470272,0.0006509732,0.0003905618,0.0002938042,0.0003847857,0.0004834259,0.0008188889,0.0004288038,0.001484721],"category_scores_gemma":[0.000424452,0.0002813516,0.0005446873,0.0003240068,0.0004076827,0.0006721728,0.000496394,0.0005691618,0.0003234664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003574147,"about_ca_system_score_gemma":0.0008426949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004975926,"about_ca_topic_score_gemma":0.003091162,"domain_scores_codex":[0.9997399,0.00003943606,0.00001424103,0.00006765287,0.0001167443,0.0000220204],"domain_scores_gemma":[0.9998511,0.00002307473,0.00004592746,0.00002470619,0.00004937717,0.000005888259],"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":[0.00003723903,0.00002359331,0.0004982232,0.000112408,0.00002960681,0.0001425235,0.00009015066,0.9116655,0.01731008,0.0151803,0.0007013748,0.05420892],"study_design_scores_gemma":[0.000005293502,0.00004443775,0.0001987414,0.000004233558,0.00000629956,0.00002826268,0.000008069472,0.9953989,0.001438977,0.001590387,0.001270857,0.000005641313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01118107,0.0002079657,0.9845188,0.00006548096,0.0000317188,0.00002889606,0.00001733784,0.0002646668,0.003684102],"genre_scores_gemma":[0.919275,0.0007950279,0.07261886,0.00005232987,0.00007202944,0.0002568018,0.0001223718,0.00003751059,0.00677009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004975926,"threshold_uncertainty_score":0.009893894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08322097453890699,"score_gpt":0.2428438821429681,"score_spread":0.1596229076040611,"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."}}