UM

Browse/Search Results:  1-4 of 4 Help

Selected(0)Clear Items/Page:    Sort:
Nonfragile H ∞ Control of Delayed Active Suspension Systems in Finite Frequency under Nonstationary Running Journal article
Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, 2019,Volume: 141,Issue: 6
Authors:  Li W.;  Xie Z.;  Wong P.K.;  Ma X.;  Cao Y.;  Zhao J.
Favorite  |  View/Download:6/0  |  Submit date:2019/03/26
Active suspension  multi-objective control  robust control  suspension control  
Nonfragile H∞ Control of Delayed Active Suspension Systems in Finite Frequency under Nonstationary Running Journal article
Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, 2019,Volume: 141,Issue: 6
Authors:  Li W.;  Xie Z.;  Wong P.K.;  Ma X.;  Cao Y.;  Zhao J.
Favorite  |  View/Download:15/0  |  Submit date:2019/02/13
Active suspension  multi-objective control  robust control  suspension control  
Robust Non-fragile H∞ Optimum Control for Active Suspension Systems with Time-varying Actuator Delay Journal article
Journal of Vibration and Control, 2019
Authors:  Wenfeng Li;  Zhengchao Xie;  Pak Kin Wong;  Yucong Cao;  Xingqi Hua;  Jing Zhao
Favorite  |  View/Download:1/0  |  Submit date:2019/06/25
Active Suspension  Actuator Delay  H∞ Control  Convex Optimization  Quarter-car Test Rig  
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:160/22  |  Submit date:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)