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...
The random-value impulse noise (RVIN) denoising method based on the preset detection threshold or local window information does not have good generalization performance and edge-preserving denoising effect. In this paper...
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...
10th International Conference on Intelligent Control and Information Processing, ICICIP 2019Duan, Wenhui Xiao, Xiuchun Fu, Dongyang Liu, Mei Zhang, Jiliang Yan, Shi Jin, Long 出版年：2019
In recent years, with the hypergrowth of the computer technology, the applications of the automatic control in the chemical industry have made significant progress. Due to the inefficiency of traditional industrial agita...
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...
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...
10th International Conference on Intelligent Control and Information Processing, ICICIP 2019Wang, Huan Fu, Dongyang Liao, Shan Wang, Guancheng Xiao, Xiuchun 出版年：2019
Due to the complicated behavior of the ocean wave, significant wave height (SWH) prediction is a difficult field in physical oceanography. In this paper, a novel neural network model, based on multiple sine functions dec...
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...
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Ma, Dexiu Jin, Long Fu, Dongyang Xiao, Xiuchun Liu, Mei 出版年：2020
The flapping wing micro-air vehicle (FWMAV) is a new type of aerial vehicle which uses mechanical structure to simulate bird flight. The FWMAV possesses the characteristics of small size, light weight, high flight effici...
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...
The time-varying quadratic minimization (TVQM) problem, as a hotspot currently, urgently demands a more reliable and faster-solving model. To this end, a novel adaptive coefficient constructs framework is presented and 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...
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...
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)...
Proceedings of 2019 IEEE 8th Data Driven Control and Learning Systems Conference, DDCLS 2019Wei, Lin Jin, Long Zhang, Rui Xiao, Xiuchun Liu, Mei Yan, Jingwen Zhang, Jiliang 出版年：2019
It is of great significance to enhancing and maintaining accurate real-time output for tracking control which has been diffusely confronted in robotics. Note that, for most traditional algorithms, utilizing a neural cont...
MATHEMATICS AND COMPUTERS IN SIMULATIONYe, Guodong Liu, Shoukang Xiao, Xiuchun Hunag, Xiaoling 出版年：2025
In recent years, with the rapid growth of digital communication, the protection of image privacy has become a critical concern. Traditional image encryption methods may attract attacker attention due to the noise-like ap...
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 ...
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...
Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010Xiao, Xiu-Chun Jiang, Xiao-Hua Xie, Shi-Yi Lu, Xiao-Min Zhang, Yu-Nong 出版年：2010
A neural network model is proposed to estimate the parameters of inter-harmonics. As to this specific neural network, an adaptive learning algorithm based on improved Levenberg-Marquardt algorithm is derived. Because of ...
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...
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...
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Xiao, Xiuchun Lai, Jian-Huang Wang, Chang-Dong 出版年：2013
The problem of estimating the parameters of exponentially damped sinusoids (EDSs) has received very much attention in many fields. Strictly following the mathematic formulation of EDSs, we construct a specific neural net...
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