{"id":"W2891264364","doi":"10.1002/rnc.4323","title":"Design and experimental evaluation of robust motion synchronization control for multivehicle system without velocity measurements","year":2018,"lang":"en","type":"article","venue":"International Journal of Robust and Nonlinear Control","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Electronic Science and Technology of China; National Natural Science Foundation of China","keywords":"Control theory (sociology); Estimator; Synchronization (alternating current); Passivity; Computer science; Compensation (psychology); Filter (signal processing); Tracking (education); Robust control; Control system; Engineering; Control (management); Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003327438,0.0001568247,0.0003321489,0.0001769968,0.0001137092,0.0001445977,0.0003793717,0.00007795689,0.000004079145],"category_scores_gemma":[0.0003456749,0.0001380702,0.00007853068,0.00007890739,0.00007725049,0.0006561585,0.00003485434,0.00008652452,0.000001295188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002731678,"about_ca_system_score_gemma":0.0001531809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001903549,"about_ca_topic_score_gemma":0.000004417574,"domain_scores_codex":[0.9974963,0.0004560701,0.0006582185,0.0002318643,0.001000608,0.0001569584],"domain_scores_gemma":[0.9946498,0.0001975029,0.000839217,0.0001272594,0.004092359,0.00009384546],"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":[0.007235505,0.001686301,0.03167413,0.0002014818,0.00449099,0.00002142167,0.003317027,0.6582465,0.1358501,0.002093443,0.0003280727,0.154855],"study_design_scores_gemma":[0.01550258,0.0003932386,0.001855427,0.0001545585,0.0001341624,0.00005985568,0.0001184093,0.9758266,0.005802073,0.00002172131,0.00001829556,0.0001131433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07369631,0.0004252714,0.9239324,0.0002251028,0.000865115,0.0007897445,0.00003173041,0.00001822596,0.00001608833],"genre_scores_gemma":[0.9624699,0.00000296571,0.03695642,0.00004106636,0.0004840633,0.00002482223,0.000005932028,0.00001082303,0.000003967619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8887736,"threshold_uncertainty_score":0.563034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06619344986327225,"score_gpt":0.3056389910336056,"score_spread":0.2394455411703333,"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."}}