{"id":"W2101097736","doi":"10.1016/j.sysconle.2013.02.001","title":"Two-stage time-optimal formation reconfiguration strategy","year":2013,"lang":"en","type":"article","venue":"Systems & Control Letters","topic":"Distributed Control Multi-Agent Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Control reconfiguration; Acceleration; Mathematical optimization; Interval (graph theory); Regular polygon; Constraint (computer-aided design); Set (abstract data type); Computer science; Convex optimization; Optimization problem; Control theory (sociology); Mathematics; Control (management); Artificial intelligence; Physics; Combinatorics","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":[0.0003250891,0.0007131854,0.0008831258,0.000329079,0.0005290317,0.0007732265,0.001161802,0.0009801885,0.003720086],"category_scores_gemma":[0.0004521734,0.0002817406,0.0005041698,0.000314512,0.0004793077,0.0006532018,0.001285821,0.0004294978,0.0004057306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004806107,"about_ca_system_score_gemma":0.0007761184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001947129,"about_ca_topic_score_gemma":0.001767246,"domain_scores_codex":[0.9997379,0.00004863623,0.00001239177,0.00006465395,0.00006048238,0.00007591227],"domain_scores_gemma":[0.9998492,0.00003090365,0.00002287009,0.00002784812,0.00004026919,0.00002882472],"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":[0.0006270421,0.0001269437,0.0006282357,0.0002016871,0.00009612885,0.0004459521,0.0001922985,0.8341998,0.03524448,0.02966787,0.003209037,0.09536058],"study_design_scores_gemma":[0.00006274755,0.0001424137,0.0002727281,0.000004884411,0.00002146312,0.00009527287,0.00002294284,0.991533,0.00282013,0.004234874,0.0007697335,0.0000198035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07176887,0.0003053374,0.9015275,0.0004107165,0.0001328195,0.0001631551,0.00006297529,0.0005055531,0.02512308],"genre_scores_gemma":[0.9572371,0.00007711283,0.03566429,0.00007603933,0.00001775282,0.0001023118,0.00004374145,0.0000170909,0.006764678],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003720086,"threshold_uncertainty_score":0.01244491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009982702138526978,"score_gpt":0.2108967302818915,"score_spread":0.2009140281433645,"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."}}