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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
View  |  Adobe PDF(984Kb)  |  Favorite  |  View/Download:156/19  |  Submit date:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Actuator fault detection and isolation based on multiple-model adaptive estimation (MMAE) Conference paper
Lecture Notes in Electrical Engineering
Authors:  Monteiro D.;  Rosa P.;  Oliveira P.;  Silvestre C.
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Infinite model adaptive estimation performance  Model-based fault detection and isolation  Multiple-model adaptive estimation