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Adversarial attacks on Faster R-CNN object detector 期刊论文
NEUROCOMPUTING, 2020, 卷号: 382, 期号: 无, 页码: 87-95
作者:  Wang, Yutong;  Wang, Kunfeng;  Zhu, Zhanxing;  Wang, Fei-Yue
Adobe PDF(5655Kb)  |  收藏  |  浏览/下载：313/65  |  提交时间：2020/03/30
Adversarial attack  Object detection  White-box attack  Black-box attack  
Adaptive tracking control for a class of continuous-time uncertain nonlinear systems using the approximate solution of HJB equation 期刊论文
NEUROCOMPUTING, 2017, 卷号: 260, 页码: 432-442
作者:  Mu, Chaoxu;  Sun, Changyin;  Wang, Ding;  Song, Aiguo
Adobe PDF(1555Kb)  |  收藏  |  浏览/下载：452/168  |  提交时间：2017/09/12
Adaptive Tracking Control  Hamilton-jacobi-bellman (Hjb) Equation  Adaptive Dynamic Programming (Adp)  Neural Networks  Uncertainties  
Distributed asynchronous event-triggered consensus of nonlinear multi-agent systems with disturbances: An extended dissipative approach 期刊论文
NEUROCOMPUTING, 2017, 卷号: 243, 页码: 103-114
作者:  Ma, Chao;  Qiao, Hong
Adobe PDF(1955Kb)  |  收藏  |  浏览/下载：314/61  |  提交时间：2017/07/18
Nonlinear Multi-agent Systems  Extended Dissipative Consensus  Event-triggered Consensus  
Self-tuned local feedback gain based decentralized fault tolerant control for a class of large-scale nonlinear systems 期刊论文
NEUROCOMPUTING, 2017, 期号: 235, 页码: 147-156
作者:  Zhao, Bo;  Li, Yuanchun;  Liu, Derong
浏览  |  Adobe PDF(1373Kb)  |  收藏  |  浏览/下载：421/113  |  提交时间：2017/05/05
Large-scale Nonlinear Systems  Partial Loss Of Actuator Effectiveness  Decentralized Fault Tolerant Control  Self-tuned Local Feedback Gain  Neural Network  
Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 页码: 297-306
作者:  Wang, Ding;  Liu, Derong;  Mu, Chaoxu;  Ma, Hongwen
Adobe PDF(1113Kb)  |  收藏  |  浏览/下载：444/124  |  提交时间：2017/02/14
Adaptive Dynamic Programming  Decentralized Control  Guaranteed Cost Control  Interconnected Systems  Learning Control  Neural Networks  Optimal Control  Uncertain Plant  
Event-based input-constrained nonlinear H infinity state feedback with adaptive critic and neural implementation 期刊论文
NEUROCOMPUTING, 2016, 卷号: 214, 期号: *, 页码: 848-856
作者:  Wang, Ding;  Mu, Chaoxu;  Zhang, Qichao;  Liu, Derong
浏览  |  Adobe PDF(1090Kb)  |  收藏  |  浏览/下载：369/139  |  提交时间：2017/02/14
Adaptive Critic Learning (Acl)  Adaptive Dynamic Programming (Adp)  Event-based Control  Hamilton-jacobi-isaacs (Hji) Equation  Input Constraints  Neural Networks  Nonlinear H-infinity Control  State Feedback  
Preliminary study on Wilcoxon-norm-based robust extreme learning machine 期刊论文
NEUROCOMPUTING, 2016, 卷号: 198, 期号: 2016, 页码: 20-26
作者:  Xie, Xiao-Liang;  Bian, Gui-Bin;  Hou, Zeng-Guang;  Feng, Zhen-Qiu;  Hao, Jian-Long
浏览  |  Adobe PDF(533Kb)  |  收藏  |  浏览/下载：497/125  |  提交时间：2016/10/20
Extreme Learning Machine  Wilcoxon Neural Network  Wilcoxon-norm Based Robust Extreme  Learning Machine  
Distributed control algorithm for bipartite consensus of the nonlinear time-delayed multi-agent systems with neural networks 期刊论文
NEUROCOMPUTING, 2016, 卷号: 174, 页码: 928-936
作者:  Wang, Ding;  Ma, Hongwen;  Liu, Derong
Adobe PDF(1037Kb)  |  收藏  |  浏览/下载：391/164  |  提交时间：2016/03/19
Bipartite Consensus  Distributed Control Algorithm  Multi-agent Systems  Neural Networks  Time Delays  
Evolved neural network ensemble by multiple heterogeneous swarm intelligence 期刊论文
NEUROCOMPUTING, 2015, 卷号: 149, 期号: A, 页码: 29-38
作者:  Zhao, Zeng-Shun;  Feng, Xiang;  Lin, Yan-yan;  Wei, Fang;  Wang, Shi-Ku;  Xiao, Tong-Lu;  Cao, Mao-Yong;  Hou, Zeng-Guang
浏览  |  Adobe PDF(1108Kb)  |  收藏  |  浏览/下载：289/89  |  提交时间：2015/10/13
Neural Network Ensemble  Particle Swarm Optimization  Differential Evolution  Artificial Bee Colony  Chaotic Search  
Nonlinear neuro-optimal tracking control via stable iterative Q-learning algorithm 期刊论文
NEUROCOMPUTING, 2015, 卷号: 168, 期号: x, 页码: 520-528
作者:  Wei, Qinglai;  Song, Ruizhuo;  Sun, Qiuye;  Qinglai Wei
浏览  |  Adobe PDF(2222Kb)  |  收藏  |  浏览/下载：641/239  |  提交时间：2015/09/23
Adaptive Dynamic Programming  Approximate  Dynamic Programming  Q-learning  Optimal Tracking Control  Neural Networks