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Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Qi, Yimeng;  Jin, Long;  Luo, Xin;  Zhou, MengChu
收藏  |  浏览/下载:50/0  |  提交时间:2022/08/22
Computational modeling  Mathematical model  Neural networks  Control theory  Analytical models  Real-time systems  Numerical models  Control-theoretical techniques  perturbed nonstationary quadratic program (QP)  recurrent neural dynamics  robustness theoretical analysis  
Popularity and Novelty Dynamics in Evolving Networks 期刊论文
SCIENTIFIC REPORTS, 2018, 卷号: 8, 页码: 10
作者:  Abbas, Khushnood;  Shang, Mingsheng;  Abbasi, Alireza;  Luo, Xin;  Xu, Jian Jun;  Zhang, Yu-Xia
Adobe PDF(2105Kb)  |  收藏  |  浏览/下载:266/0  |  提交时间:2018/06/04
Emerging trends in evolving networks: Recent behaviour dominant and non-dominant model 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 卷号: 484, 页码: 506-515
作者:  Abbas, Khushnood;  Shang, Mingsheng;  Luo, Xin;  Abbasi, Alireza
Adobe PDF(2072Kb)  |  收藏  |  浏览/下载:102/0  |  提交时间:2018/03/05
Novelty  Evolving networks  Recommender systems  E-commerce  Collective behaviour  Trend prediction  Emerging behaviour  
On dynamic performance estimation of fault-prone Infrastructure-as-a-Service clouds 期刊论文
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2017, 卷号: 13, 期号: 7, 页码: 11
作者:  Zheng, Wanbo;  Wang, Yuandou;  Xia, Yunni;  Wu, Quanwang;  Wu, Lei;  Guo, Kunyin;  Li, Weiling;  Luo, Xin;  Zhu, Qingsheng
Adobe PDF(1186Kb)  |  收藏  |  浏览/下载:93/0  |  提交时间:2018/03/05
Infrastructure-as-a-service Cloud  Performance Prediction  Pareto Distribution  
Distributed Winner-Take-All in Dynamic Networks 期刊论文
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 卷号: 62, 期号: 2, 页码: 577-589
作者:  Li, Shuai;  Zhou, MengChu;  Luo, Xin;  You, Zhu-Hong
Adobe PDF(1521Kb)  |  收藏  |  浏览/下载:184/0  |  提交时间:2018/03/05
Competitive control  consensus  cooperative control  distributed control  dynamic networks  networked control system  winner-take-all