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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:173/24  |  Submit date:2018/10/30
Fuzzy logic systems (FLSs)  identifier-actor-critic architecture  multi-agent formation  optimized formation control  reinforcement learning (RL)  
Optimal transmission switching to eliminate voltage violations during light-load periods using decomposition approach Journal article
Journal of Modern Power Systems and Clean Energy, 2018,Volume: 7,Issue: 2,Page: 297-308
Authors:  Boshi ZHAO;  Zechun HU;  Qian ZHOU;  Hongcai ZHANG;  Yonghua SONG
Favorite  |  View/Download:11/0  |  Submit date:2019/06/03
Decomposition Approach  Mixed-integer Programming  Optimal Power Flow  Transmission Switching  Voltage Violation  
Linear programming algorithms for sensor networks node localization Conference paper
2016 IEEE International Conference on Consumer Electronics, ICCE 2016
Authors:  Xu K.;  Liu H.-L.;  Liu D.;  Huang X.;  Hou F.
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Adaptive consensus control for a class of nonlinear multiagent time-delay systems using neural networks Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2014,Volume: 25,Issue: 6,Page: 1217
Authors:  Chen C.L.P.;  Wen G.-X.;  Liu Y.-J.;  Wang F.-Y.
View  |  Adobe PDF(1028Kb)  |  Favorite  |  View/Download:115/11  |  Submit date:2018/10/30
Consensus control  Lyapunov-Krasovskii functional  Neural networks (NNS)  Nonlinear multiagent systems  Time delay  
A novel algorithm for automated optimum design of IIR SC decimators Journal article
IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 2002,Volume: 49,Issue: 4,Page: 293-296
Authors:  Ngai C.;  Martins R.P.;  Franca J.E.
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Automated optimum design  Infinite-impulse response (IIR) switched-capacitor (SC) decimator  Linear/nonlinear programming  
Sequential combination methods for data clustering analysis Journal article
Journal of Computer Science and Technology, 2002,Volume: 17,Issue: 2,Page: 118-128
Authors:  Qian Y.;  Suen C.Y.;  Tang Y.
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Clustering combination  Clustering criterion  Linear additive model  Probabilistic relaxation