{"id":"W2039154706","doi":"10.1016/j.conengprac.2013.04.004","title":"Robust formation control without velocity measurement of the leader robot","year":2013,"lang":"en","type":"article","venue":"Control Engineering Practice","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Control theory (sociology); Trajectory; Backstepping; Controller (irrigation); Robot; Mobile robot; Tracking (education); Control engineering; Computer science; Lyapunov function; Artificial neural network; Engineering; Control (management); Adaptive control; Artificial intelligence; Nonlinear system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007446358,0.0006792746,0.0007202519,0.0003788101,0.0005434054,0.000782038,0.00116482,0.000628147,0.001042177],"category_scores_gemma":[0.002184908,0.0003290407,0.0003425701,0.0002835212,0.00082837,0.001024107,0.00149264,0.0007892242,0.0005871657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003950683,"about_ca_system_score_gemma":0.001176075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002228587,"about_ca_topic_score_gemma":0.0019676,"domain_scores_codex":[0.9994419,0.0001133172,0.00002135401,0.0001725297,0.000180238,0.00007062066],"domain_scores_gemma":[0.9992375,0.0001611203,0.0001904898,0.0001874478,0.0001907191,0.00003268339],"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":[0.0006494697,0.0001401908,0.001061413,0.0003259315,0.0001198893,0.0002353651,0.0003318344,0.6092126,0.07321125,0.04316155,0.003693024,0.2678575],"study_design_scores_gemma":[0.00006124211,0.0003144456,0.0003916071,0.00001669153,0.00002238521,0.00008887803,0.00003234026,0.9743747,0.01574401,0.006859859,0.002075383,0.00001847567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01709991,0.0001923427,0.9786193,0.0001550269,0.0001026118,0.00002909875,0.00001729739,0.0004758117,0.003308582],"genre_scores_gemma":[0.93239,0.0001276918,0.06401157,0.00006501128,0.00004359068,0.0000602312,0.00004686486,0.00005503424,0.003199836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002228587,"threshold_uncertainty_score":0.004431188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02894921811105291,"score_gpt":0.2080916113345681,"score_spread":0.1791423932235152,"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."}}