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Reformative Noise-Immune Neural Network for Equality-Constrained Optimization Applied to Image Target Detection 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, 2022, 卷号: 10, 期号: 2, 页码: 973-984
作者:  Ying Liufu;  Jin, Long;  Xu, Jinqiang;  Xiao, Xiuchun;  Fu, Dongyang
收藏  |  浏览/下载:119/0  |  提交时间:2022/08/22
Optimization  Computational modeling  Mathematical model  Numerical models  Convergence  Neural networks  Robustness  Reformative noise-immune neural network (RNINN)  equality-constrained optimization  noise-resistance  robustness  
RNN for Receding Horizon Control of Redundant Robot Manipulators 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 2, 页码: 1608-1619
作者:  Yan, Jingkun;  Jin, Long;  Yuan, Zhanting;  Liu, Zhiyi
收藏  |  浏览/下载:152/0  |  提交时间:2021/12/23
Manipulators  Optimization  Acceleration  Recurrent neural networks  Mathematical model  Trajectory tracking  Trajectory  Joint limits  receding horizon control (RHC)  recurrent neural network (RNN)  redundant manipulator  trajectory tracking  
Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:  Qi, Yimeng;  Jin, Long;  Luo, Xin;  Shi, Yang;  Liu, Mei
收藏  |  浏览/下载:44/0  |  提交时间:2022/08/22
Task analysis  Robustness  Biological neural networks  Resource management  Dynamic scheduling  Convergence  Recurrent neural networks  Consensus filter  k-winner-take-all (k-WTA)  multiagent coordination  theoretical analysis  
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:47/0  |  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