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- RNN for Solving Time-Variant Generalized Sylvester Equation With Applications to Robots and Acoustic Source Localization
- 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...
- On Generalized RMP Scheme for Redundant Robot Manipulators Aided With Dynamic Neural Networks and Nonconvex Bound Constraints
- 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...
- A Data-Driven Cyclic-Motion Generation Scheme for Kinematic Control of Redundant Manipulators
- 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...
- Modified gradient neural networks for solving the time-varying Sylvester equation with adaptive coefficients and elimination of matrix inversion
- NEUROCOMPUTINGLiao, Shan Liu, Jiayong Xiao, Xiuchun Fu, Dongyang Wang, Guancheng Jin, Long 出版年：2020
- 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...
- A parallel computing method based on zeroing neural networks for time-varying complex-valued matrix Moore-Penrose inversion
- 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:...
- Reformative Noise-Immune Neural Network for Equality-Constrained Optimization Applied to Image Target Detection
- 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...
- Adaptive Noise Detector and Partition Filter for Removing Impulse Noise from Grayscale Images
- SSRNLin, Cong Qiu, Chenghao Xiao, Xiuchun Feng, Siling Feng, Mengxing 出版年：2022
- 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...
- Nonconvex and Bound Constraint Zeroing Neural Network for Solving Time-Varying Complex-Valued Quadratic Programming Problem
- IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICSJiang, Chengze Xiao, Xiuchun Liu, Dazhao Huang, Haoen Xiao, Hua Lu, Huiyan 出版年：2021
- 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...
- A Controller of Liquid Material on Fast Saturated Zeroing Dynamics Model in Industrial Agitator Tank
- 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...
- A Local Consensus Index Scheme for Random-Valued Impulse Noise Detection Systems
- 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...
- Two neural dynamics approaches for computing system of time-varying nonlinear equations
- NEUROCOMPUTINGXiao, Xiuchun Fu, Dongyang Wang, Guancheng Liao, Shan Qi, Yimeng Huang, Haoen Jin, Long 出版年：2020
- 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...
- Modified Newton Integration Neural Algorithm for Dynamic Complex-Valued Matrix Pseudoinversion Applied to Mobile Object Localization
- 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...
- Significant Wave Height Prediction Based on MSFD Neural Network
- 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...
- Noise-Tolerant Zeroing Neural Network for Solving Non-Stationary Lyapunov Equation
- IEEE ACCESSYan, Jingkun Xiao, Xiuchun Li, Hongxin Zhang, Jiliang Yan, Jingwen Liu, Mei 出版年：2019
- 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...
- On Position and Attitude Control of Flapping Wing Micro-aerial Vehicle
- 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...
- Nonlinear RNN with noise-immune: A robust and learning-free method for hyperspectral image target detection
- 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...
- Adaptive Zeroing-Type Neural Dynamics for Solving Quadratic Minimization and Applied to Target Tracking
- arXivHe, Huiting Jiang, Chengze Zhang, Yudong Xiao, Xiuchun Song, Zhiyuan 出版年：2021
- 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...
- An Adaptive Gradient Neural Network to Solve Dynamic Linear Matrix Equations
- 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...
- A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems
- 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...
- Analysis and Prediction of Significant Wave Height in the Beibu Gulf, South China Sea
- 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...
- Improved ZND model for solving dynamic linear complex matrix equation and its application
- NEURAL COMPUTING & APPLICATIONSSong, Zhiyuan Lu, Zhenyao Wu, Jiahao Xiao, Xiuchun Wang, Guancheng 出版年：2022
- 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)...
- New integration-enhanced Newton algorithm for real-time tracking control of robot manipulators
- 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...
- Image hiding algorithm based on local binary pattern and compressive sensing
- 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...
- Modified Newton integration neural algorithm for solving the multi-linear <i>M</i>-tensor equation
- APPLIED SOFT COMPUTINGHuang, Haoen Fu, Dongyang Zhang, Jiazheng Xiao, Xiuchun Wang, Guancheng Liao, Shan 出版年：2020
- 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 ...
- Modified Newton Integration Algorithm With Noise Tolerance Applied to Robotics
- 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...
- A neural network model for power system inter-harmonics estimation
- 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 ...
- A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks
- NEURAL NETWORKSLiao, Shan Li, Shubin Liu, Jiayong Huang, Haoen Xiao, Xiuchun 出版年：2022
- 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...
- Robust neural dynamics with adaptive coefficient applied to solve the dynamic matrix square root
- COMPLEX & INTELLIGENT SYSTEMSJiang, Chengze Wu, Chaomin Xiao, Xiuchun Lin, Cong 出版年：2023
- 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...
- 基于次序统计量像素灰度相似度的图像双边滤波
- 《计算机辅助设计与图形学学报》肖秀春 彭群生 卢晓敏 王章野 张雨浓 姜孝华 出版年：2011
- 针对一般双边滤波器定义中的像素灰度相似度函数易受图像噪声影响,不能很好地表征像素之间的实际相似性的问题,设计了一个基于次序统计量的像素灰度相似度函数.基于图像中相邻像素之间的相关性,可近似地将某像素的1环邻域所有像素的灰...
- 关键词：特征保留 次序统计量 双边滤波 相似度函数 图像去噪 被引量：11
- A neural network for parameter estimation of the exponentially damped sinusoids
- 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...
