{"id":"W2800124749","doi":"10.1139/tcsme-2013-0030","title":"ROBUST ADAPTIVE TRAJECTORY CONTROL FOR AN OMNIDIRECTIONAL VEHICLE WITH PARAMETRIC UNCERTAINTY","year":2013,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Control and Dynamics of Mobile Robots","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Omnidirectional antenna; Control theory (sociology); Trajectory; Parametric statistics; Controller (irrigation); Robust control; Computer science; Tracking (education); Lyapunov function; Adaptive control; Motion control; Lyapunov stability; Control system; Control (management); Engineering; Mathematics; Artificial intelligence; Physics; Nonlinear system; Robot","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002621361,0.0004179422,0.0002591242,0.0002019967,0.0002083659,0.0002882973,0.0005347451,0.0002383287,0.0004076349],"category_scores_gemma":[0.000394108,0.0001559972,0.000247921,0.000184217,0.0003226019,0.0002553164,0.0003552735,0.0003036133,0.0001214778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002534718,"about_ca_system_score_gemma":0.0004032924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004709206,"about_ca_topic_score_gemma":0.002593579,"domain_scores_codex":[0.999869,0.00002035157,0.000007059328,0.00003579413,0.00004962424,0.00001822364],"domain_scores_gemma":[0.9998266,0.00003391576,0.00005930643,0.00001195867,0.00005827627,0.00000992755],"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":[0.0002096003,0.00003776252,0.0009714046,0.000157956,0.00007023041,0.0003586014,0.0002340692,0.8237309,0.06073573,0.01412638,0.0008509089,0.09851648],"study_design_scores_gemma":[0.00001349318,0.0001365909,0.0003450357,0.000004300522,0.000009153646,0.00004289027,0.00002290408,0.9945554,0.002556039,0.001139434,0.001167285,0.00000754096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04860136,0.0002259864,0.9488789,0.00007227995,0.00003727543,0.00001885987,0.00001832045,0.0002533456,0.001893677],"genre_scores_gemma":[0.9771144,0.0001625313,0.02052926,0.00002504617,0.00001654737,0.00004131369,0.00003933084,0.00001319173,0.002058474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004709206,"threshold_uncertainty_score":0.009363592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231779787782116,"score_gpt":0.1763762305939483,"score_spread":0.1640584327161272,"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."}}