{"id":"W2115757468","doi":"10.1109/cacsd.2011.6044531","title":"Distributed connectivity preservation of a team of single integrator agents subject to measurement error","year":2011,"lang":"en","type":"article","venue":"","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Range (aeronautics); Computer science; Function (biology); Integrator; Observational error; Control (management); Multi-agent system; Distance measurement; State (computer science); Class (philosophy); Distributed computing; Control theory (sociology); Algorithm; Mathematics; Artificial intelligence; Computer network; Engineering; Statistics","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":[0.001051332,0.0005807509,0.0007202502,0.0003900409,0.000498755,0.0007080265,0.001195409,0.000716485,0.000369476],"category_scores_gemma":[0.004306841,0.0002484638,0.0003783671,0.0003858872,0.0009480512,0.001154358,0.001473251,0.0005356746,0.00009024157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005251361,"about_ca_system_score_gemma":0.0006338675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001965539,"about_ca_topic_score_gemma":0.0008515051,"domain_scores_codex":[0.999334,0.0001782766,0.00002920083,0.0001796558,0.0001870252,0.00009181228],"domain_scores_gemma":[0.9982298,0.0007266396,0.0004464084,0.0002718531,0.0002220085,0.0001033317],"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":[0.0002201632,0.00005704408,0.001600491,0.00006765706,0.00005103124,0.0003747711,0.0003046219,0.9293707,0.01490667,0.01581108,0.0002407787,0.03699499],"study_design_scores_gemma":[0.00001794417,0.0001063404,0.0002539289,0.000003132187,0.000009872097,0.00004123168,0.00002878554,0.9930534,0.002142243,0.004106191,0.0002320312,0.000004870581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1827581,0.0001727066,0.8152109,0.000124356,0.00002111122,0.00002640156,0.00001645263,0.0001440063,0.001525964],"genre_scores_gemma":[0.9797547,0.00007386588,0.01943469,0.0000119808,0.00001110332,0.00003224193,0.00002102407,0.00001069695,0.0006496755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001965539,"threshold_uncertainty_score":0.00556004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.123856162995354,"score_gpt":0.2660272601962383,"score_spread":0.1421710972008844,"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."}}