.png){kind=icon}
返回
A Complex-Valued Variant-Parameter Robust Zeroing Neural Network Model and its Applications
.png){kind=icon}
PRE
AI
DOI：10.1109/TETCI.2024.3356163.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
As an effective tool for solving dynamic complex value problems, especially dynamic complex value matrix inversion (DCVMI), the complex value zeroing neural network (CVZNN) has been widely applied in various practical industrial fields. However, previous complex value zeroing neural network (PCVZNN) models only achieve unsatisfactory exponential or finite time convergence, which usually does not conform to actual practical situation. Different from PCVZNN models, a complex-valued variant parameter robust ZNN model (CVVPRZNN) with both fixed-time convergence and robustness for solving DCVMI is proposed in this paper. The fixed-time convergence and noise suppression ability of the CVVPRZNN model for solving DCVMI are strictly deduced. Then, three comparative numerical experiments for DCVMI solving, dynamic circuit currents computing and manipulator trajectory tracking of the proposed CVVPRZNN model with other existing PCVZNN models are provided for demonstrating its better solution performances and higher practical application value. It should be noted that the experimental results indicate that regardless of whether it is disturbed by noise or not, the CVVPRZNN model only requires about 0.01 s to complete the corresponding solving task. However, in the same experimental environment, other models either cannot complete the solving task at all, or require about 8 s which is almost 800 times the solving time of the CVVPRZNN model to complete the corresponding dynamic problem solving.
Keyword:
Convergence
Mathematical models
Computational modeling
Robustness
Numerical models
Analytical models
Transient analysis
Complex-valued variant-parameter robust zeroing neural network (CVVPRZNN) model
dynamic complex-valued matrix inversion (DCVMI)
fixed-time convergence
robustness
dynamic circuit currents computing
robotic manipulator
期刊
I
IF:
6.5
论文数:
1.4K
被引数:
4.5K
机构
引用论文
Broad Graph Convolutional Neural Network and Its Application in Hyperspectral Image Classification广义图卷积神经网络及其在高光谱图像分类中的应用
PREAI
分享收藏Comprehensive Analysis of ZNN Models for Computing Complex-Valued Time-Dependent Matrix Inverse.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
OAAI分享收藏Solving the time-varying tensor square root equation by varying-parameters finite-time Zhang neural networkNEUROCOMPUTING
NEUROCOMPUTINGIF6.5
PREAI
分享收藏Adaptive Practical Fixed-Time Tracking Control With Prescribed Boundary Constraints具有规定边界约束的自适应实用固定时间跟踪控制
PREAI
分享收藏
查看更多内容