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Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 5,Page: 2719-2731
Authors:  Wen, Guoxing;  Chen, C. L. Philip;  Feng, Jun;  Zhou, Ning
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Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Leader following trajectory planning: A trailer-like approach Journal article
AUTOMATICA, 2017,Volume: 75,Page: 77-87
Authors:  Pereira, Pedro O.;  Cunha, Rita;  Cabecinhas, David;  Silvestre, Carlos;  Oliveira, Paulo
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Multi-vehicle Trajectory Planning  Leader-following  Nonlinear Systems