IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICSJin, Long Yan, Jingkun Du, Xiujuan Xiao, Xiuchun Fu, Dongyang 出版年：2020
A generalized Sylvester equation is a special formulation containing the Sylvester equation, the Lyapunov equation and the Stein equation, which is often encountered in various fields. However, the time-variant generaliz...
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICSXie, Zhengtai Jin, Long Du, Xiujuan Xiao, Xiuchun Li, Hongxin Li, Shuai 出版年：2019
In this paper, in order to analyze the existing repetitive motion planning (RMP) schemes for kinematic control of redundant robot manipulators, a generalized RMP scheme, which systematizes the existing RMP schemes, is pr...
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGYXie, Zhengtai Jin, Long Luo, Xin Li, Shuai Xiao, Xiuchun 出版年：2021
Redundant manipulators are no doubt indispensable devices in industrial production. There are various works on the redundancy resolution of redundant manipulators in performing a given task with the manipulator model inf...
In scientific and engineering fields, the solutions to many problems can be transformed into finding the solutions to Sylvester equation, for which various computational methods (e.g., recurrent neural network, RNN) have...
INFORMATION SCIENCESXiao, Xiuchun Jiang, Chengze Lu, Huiyan Jin, Long Liu, Dazhao Huang, Haoen Pan, Yi 出版年：2020
This paper analyzes the existing zeroing neural network (ZNN) models from the perspective of control theory. It proposes an exclusive ZNN model for solving the dynamic complex-valued matrix Moore-Penrose inverse problem:...
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTINGYing Liufu Jin, Long Xu, Jinqiang Xiao, Xiuchun Fu, Dongyang 出版年：2022
Equality-constrained optimization problem captures increasing attention in the fields of computer science, control engineering, and applied mathematics. Almost all of the relevant issues suffer from kinds of intense or w...
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMSXiao, Xiuchun Xiong, Neal N. Lai, Jianhuang Wang, Chang-Dong Sun, Zhenan Yan, Jingwen 出版年：2021
The issue of impulse noise detection and reduction is a critical problem for image processing application systems. In order to detect impulse noises in corrupted images, a statistic named local consensus index (LCI) is p...
Many methods are known to solve the problem of real-valued and static quadratic programming (QP) effectively. However, few of them are still useful to solve the time-varying QP problem in the complex domain. In this stud...
The problem of solving time-varying nonlinear equations has received much attention in many fields of science and engineering. In this paper, firstly, considering that the classical gradient-based neural dynamics (GND) m...
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICSHuang, Haoen Fu, Dongyang Xiao, Xiuchun Ning, Yangyang Wang, Huan Jin, Long Liao, Shan 出版年：2021
A dynamic complex-valued matrix pseudoinversion (DCVMP) is encountered in some special environments, where the system parameters contain the dynamic, magnitude, and phase information. Currently, most of the existing mode...
As a crucial means for stability analysis in control systems, the Lyapunov equation is applied in many fields of science and engineering. There are some methods proposed and studied for solving the non-stationary Lyapuno...
INFORMATION SCIENCESWang, Guancheng Huang, Haoen Shi, Limei Wang, Chuhong Fu, Dongyang Jin, Long Xiao Xiuchun 出版年：2021
The Newton-Raphson iteration (NRI) algorithm is a prevalent computational methodology in many fields and can be used to solve the time-varying Lyapunov equation. However, the performance of the traditional NRI (TNRI) alg...
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANSWang, Huan Fu, Dongyang Liu, Dazhao Xiao, Xiuchun He, Xianqiang Liu, Bei 出版年：2021
A series of 40-year significant wave height (SWH) data were extracted from the ERA-Interim data set of the European Center for Medium-Range Weather Forecasts (ECMWF), for the Beibu Gulf and its adjacent waters in the Sou...
EXPERT SYSTEMS WITH APPLICATIONSXiao, Xiuchun Jiang, Chengze Jin, Long Huang, Haoen Wang, Guancheng 出版年：2023
While the recurrent neural network (RNN) has achieved remarkable performance on dynamic and control tasks, its applications to image processing, particularly target detection are limited. Challenges arise from difference...
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMSJin, Long Su, Zeyu Fu, Dongyang Xiao, Xiuchun 出版年：2024
The existing solutions for nonconvex optimization problems show satisfactory performance in noise-free scenarios. However, they are prone to yield inaccurate results in the presence of noise in real-world problems, which...
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMSFu, Dongyang Huang, Haoen Wei, Lin Xiao, Xiuchun Jin, Long Liao, Shan Fan, Jialiang Xie, Zhengtai 出版年：2022
Currently, the Newton-Raphson iterative algorithm has been extensively employed in the fields of basic research and engineering. However, when noise components exist in a system, its performance is largely affected. To r...
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMSLiao, Shan Liu, Jiayong Qi, Yimeng Huang, Haoen Zheng, Rongfeng Xiao, Xiuchun 出版年：2022
In this article, the existing approaches, including numerical algorithms as well as neural networks to solve dynamic linear matrix equations, have been presented and reviewed. Specifically, the conventional gradient recu...
The online solving of a dynamic linear complex matrix equation (DLCME) is commonly encountered in many fields, and it exists for lots of engineering applications. For solving the DLCME, the gradient neural dynamics (GND)...
This paper attends to solve the multi-linear equations with special structure, e.g., the multi-linear M-tensor equation, which frequently appears in engineering applications such as deep learning and hypergraph. For its ...
The first-order optimizers in deep neural networks (DNN) are of pivotal essence for a concrete loss function to reach the local minimum or global one on the loss surface within convergence time. However, each optimizer p...
PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL IVZou, Ajin Xiao, Xiuchun 出版年：2009
Based on best square approximation theory, new feed-forward neural networks are introduced where hidden units activation functions employ Laguerre orthogonal polynomials Use these neural networks as the identifier model ...
The problem of estimating the parameters of exponentially damped sinusoids (EDSs) signal has received very much attention in many fields. In this paper, a specific neural network termed EDSNN for parameter estimation of ...
Zeroing neural networks (ZNN) have shown their state-of-the-art performance on dynamic problems. However, ZNNs are vulnerable to perturbations, which causes reliability concerns in these models owing to the potentially s...
IEEE-CAA JOURNAL OF AUTOMATICA SINICAJiang, Chengze Xiao, Xiuchun 出版年：2023
The time-dependent algebraic Riccati equation (TDARE) problem is applied to many optimal control industrial applications. It is susceptible to interference from measurement noises in the virtual environment, which curren...
The zeroing-gradient (ZG) method, a combination of two neural dynamics methods, has been leveraged to construct controller for solving ship course tracking problem with near singularity considered. In this paper, the exi...
渝公网安备 50019002500408号 违法和不良信息举报中心