{"id":"W4394880008","doi":"10.1002/rnc.7347","title":"Enhanced extended state observer based prescribed time tracking control of wheeled mobile robot with slipping and skidding","year":2024,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Natural Science Foundation of China","keywords":"Slipping; Control theory (sociology); Mobile robot; Trajectory; Tracking (education); Tracking error; Disturbance (geology); Computer science; Controller (irrigation); Observer (physics); Scaling; State observer; Control (management); Robot; Control engineering; Engineering; Mathematics; Nonlinear system; Artificial intelligence; Physics","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":[0.0003506465,0.0002006242,0.0004308638,0.0002517326,0.00002936667,0.0001581679,0.0001710987,0.00006155507,0.00003757741],"category_scores_gemma":[0.00004883557,0.000160799,0.0001212017,0.00007687289,0.00005091471,0.0004095715,0.00001573774,0.0002623048,0.000001380727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005113188,"about_ca_system_score_gemma":0.00007128961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006469268,"about_ca_topic_score_gemma":0.00001359168,"domain_scores_codex":[0.9987202,0.00003829056,0.0005395071,0.0001588628,0.0003510167,0.000192094],"domain_scores_gemma":[0.9989038,0.0003512677,0.0001568408,0.00007962261,0.0004010416,0.0001074323],"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":[0.0009035972,0.00005850595,0.0002867809,0.00010727,0.0009933385,0.0001337756,0.0001838806,0.8406486,0.1067583,0.00002964574,0.00001441726,0.04988189],"study_design_scores_gemma":[0.005683125,0.0002504693,0.001458998,0.0006312153,0.0001426249,0.0000858364,0.0000296044,0.9896742,0.001626534,0.00004010316,0.000201246,0.0001761199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4718416,0.004669752,0.522306,0.0002267511,0.0004622166,0.0002734719,0.00008771173,0.00006337935,0.00006912562],"genre_scores_gemma":[0.9957817,0.0001915378,0.003615559,0.00004711166,0.0002647658,0.00001009737,0.00000603441,0.00003577105,0.00004741217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5239401,"threshold_uncertainty_score":0.6557195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005299368035932681,"score_gpt":0.209309621525171,"score_spread":0.2040102534892383,"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."}}