{"id":"W1984868197","doi":"10.1109/wcica.2014.7053776","title":"Adaptive unscented Kalman filter-based online slip ratio control of wheeled-mobile robot","year":2014,"lang":"en","type":"article","venue":"","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Control theory (sociology); Kalman filter; Extended Kalman filter; Mobile robot; Computer science; Sliding mode control; Angular velocity; Engineering; Robot; Control engineering; Nonlinear system; Artificial intelligence; Control (management); 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":[0.0001493367,0.0001756242,0.0003622971,0.00007483169,0.00002762104,0.00001746267,0.0001568348,0.00008263872,0.0001091567],"category_scores_gemma":[0.00001305977,0.0001571177,0.0001096189,0.0001092446,0.00002354051,0.00005684914,0.000008659931,0.0001099611,0.00002141969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004004126,"about_ca_system_score_gemma":0.00001733922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001061718,"about_ca_topic_score_gemma":0.0003201859,"domain_scores_codex":[0.9990157,0.00005441226,0.0003720041,0.0001595521,0.0001607722,0.0002375526],"domain_scores_gemma":[0.99937,0.00009621358,0.00006476395,0.0002867837,0.0001001828,0.00008207872],"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":[0.00007151927,0.0001548181,0.001048181,0.00007145882,0.0001503554,0.000001899234,0.0000535837,0.9274152,0.05889978,0.00314721,0.0003637327,0.00862226],"study_design_scores_gemma":[0.002409021,0.0002193192,0.001171506,0.00003753268,0.00001978991,8.537797e-7,0.00005673121,0.9934527,0.001128861,0.00001942537,0.001311271,0.0001729571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1294841,0.0001431673,0.8655611,0.00007050191,0.0002946772,0.0005455751,0.00009232117,0.0003047702,0.003503721],"genre_scores_gemma":[0.9988664,0.000003456632,0.0005419623,0.0001074469,0.000120354,0.00005251871,0.0000473866,0.00003560094,0.000224822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8693823,"threshold_uncertainty_score":0.6407074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00575670909884348,"score_gpt":0.1910051485518267,"score_spread":0.1852484394529832,"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."}}