{"id":"W2923726196","doi":"10.1007/s10514-019-09845-4","title":"Distributed iterative learning control for multi-agent systems","year":2019,"lang":"en","type":"article","venue":"Autonomous Robots","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Connaught Fund; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Baden-Württemberg Stiftung","keywords":"Computer science; Iterative learning control; Multi-agent system; Control (management); Distributed computing; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023232,0.0006869232,0.000796777,0.0004667268,0.0006140408,0.001118023,0.001300233,0.001116083,0.001598593],"category_scores_gemma":[0.003811554,0.0003297472,0.0003993461,0.0005398762,0.001495689,0.001004191,0.001590039,0.001202418,0.0002738611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009962033,"about_ca_system_score_gemma":0.0009699982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005300215,"about_ca_topic_score_gemma":0.003090349,"domain_scores_codex":[0.9993343,0.0002176313,0.0000321801,0.0001222799,0.000230684,0.00006294576],"domain_scores_gemma":[0.9985982,0.0007227262,0.0001666074,0.0001067851,0.0003495646,0.00005612664],"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":[0.00006531824,0.00005519348,0.0002260163,0.00008215065,0.00003650039,0.00006092029,0.0001440287,0.9170864,0.002582555,0.03204651,0.0009125447,0.0467019],"study_design_scores_gemma":[0.000009428478,0.00001971413,0.00003685707,0.00000313592,0.000002721439,0.000007443404,0.00000479441,0.9911611,0.0002860472,0.008137182,0.0003279522,0.000003571033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01116419,0.0003450267,0.9847452,0.0001885608,0.00006091896,0.00002604767,0.000009429119,0.0001470468,0.003313648],"genre_scores_gemma":[0.9264489,0.0003526069,0.06686629,0.00006827876,0.00008751554,0.000177069,0.00003497006,0.0000437833,0.005920565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005300215,"threshold_uncertainty_score":0.01053876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325705271726349,"score_gpt":0.2334556520541717,"score_spread":0.2201985993369082,"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."}}