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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 | Favorite | View/Download:1436/111 | TC[WOS]:21 TC[Scopus]:25 | Submit date:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Output-feedback model-reference adaptive calibration for map-based anti-jerk control of electromechanical automotive clutches Journal article
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2018,Volume: 32,Issue: 2,Page: 265-285
Authors:  Huang, Wei;  Wong, Pak Kin;  Zhao, Jing;  Ma, Xinbo
Favorite | View/Download:27/0 | TC[WOS]:3 TC[Scopus]:3 | Submit date:2018/10/30
Adaptive Calibration  Anti-jerk Control  Clutch Engagement  Data-driven Fuzzy Logic