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Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 587-599
作者:  Shi, Yang;  Jin, Long;  Li, Shuai;  Li, Jian;  Qiang, Jipeng;  Gerontitis, Dimitrios K.
收藏  |  浏览/下载:70/0  |  提交时间:2022/08/22
Mathematical model  Linear matrix inequalities  Numerical models  Computational modeling  Recurrent neural networks  Analytical models  Manipulators  Convergence  discrete-form time-variant multi-augmented Sylvester matrix problems  discrete-time recurrent neural networks (RNNs)  discretization formula  robot manipulator application  
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:48/0  |  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