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ORCIDLong Jin 0001
Person information
- affiliation: Lanzhou University, School of Information Science and Engineering, Lanzhou, China
Other persons with the same name
- Long Jin — disambiguation page
- Long Jin 0002
![[0000-0002-3598-1342]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3598-1342")
— Jinan University, Guangdong Provincial Key Laboratory of Fiber Optic Sensing and Communications, Guangzhou, China - Long Jin 0003 — Hefei University of Technology, Hefei, China (and 1 more)
- Long Jin 0004 — Beihang University, School of Computer Science and Engineering, Beijing, China
- Long Jin 0005 — Electronics and Telecommunications Research Institute, Korea (and 1 more)
- Long Jin 0006 — Guangxi Research Institute of Meterological Disasters Mitigation, Nanning, China
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2020 – today
- 2025
[j166]Jiazheng Zhang, Mei Liu, Long Jin:
Logistic Adaptive Controller with Overhead Reduction for Multirobot Systems. IEEE Trans. Ind. Electron. 72(1): 660-669 (2025)- 2024
- [j165]Dan Su, Liangming Chen, Xiaohao Du, Mei Liu, Long Jin:
Constructing convolutional neural network by utilizing nematode connectome: A brain-inspired method. Appl. Soft Comput. 149(Part A): 110992 (2024) - [j164]Gang Wang, Yongbai Liu, Keping Liu, Long Jin, Junzhi Yu, Zhongbo Sun:
sEMG data driven-based anti-disturbance control enables adaptive interaction of lower limb rehabilitation exoskeleton. Biomed. Signal Process. Control. 94: 106347 (2024) - [j163]Dan Su, Predrag S. Stanimirovic, Ling Bo Han, Long Jin:
Neural dynamics for improving optimiser in deep learning with noise considered. CAAI Trans. Intell. Technol. 9(3): 722-737 (2024) - [j162]Yufeng Lian, Xingtian Xiao, Jiliang Zhang, Long Jin, Junzhi Yu, Zhongbo Sun:
Neural Dynamics for Cooperative Motion Control of Omnidirectional Mobile Manipulators in the Presence of Noises: A Distributed Approach. IEEE CAA J. Autom. Sinica 11(7): 1605-1620 (2024) - [j161]Bo Peng, Kefan Zhang, Long Jin, Mingsheng Shang:
A Transfer-Learning-Like Neural Dynamics Algorithm for Arctic Sea Ice Extraction. Neural Process. Lett. 56(4): 221 (2024) - [j160]Jingkun Yan, Mei Liu, Long Jin:
Cerebellum-Inspired Model Predictive Control for Redundant Manipulators With Unknown Structure Information. IEEE Trans. Cogn. Dev. Syst. 16(3): 1198-1210 (2024) - [j159]Long Jin, Jinyuan Zhang, Yimeng Qi, Shuai Li:
New Distributed Consensus Schemes With Time Delays and Output Saturation. IEEE Trans Autom. Sci. Eng. 21(3): 2856-2867 (2024) - [j158]Zhengtai Xie, Shuai Li, Long Jin:
A Bi-Criteria Kinematic Strategy for Motion/Force Control of Robotic Manipulator. IEEE Trans Autom. Sci. Eng. 21(4): 5570-5582 (2024) - [j157]Siqi Liang, Long Jin:
Distributed k-Winner-Take-All Network Under Weight-Unbalanced Topology. IEEE Trans. Circuits Syst. II Express Briefs 71(2): 717-721 (2024) - [j156]Jingkun Yan, Long Jin, Bin Hu:
Data-Driven Model Predictive Control for Redundant Manipulators With Unknown Model. IEEE Trans. Cybern. 54(10): 5901-5911 (2024) - [j155]Zhengtai Xie, Long Jin:
A Fuzzy Neural Controller for Model-Free Control of Redundant Manipulators With Unknown Kinematic Parameters. IEEE Trans. Fuzzy Syst. 32(3): 1589-1601 (2024) - [j154]Long Jin, Yutong Li, Xiaoyan Zhang, Xin Luo:
Fuzzy k-Winner-Take-All Network for Competitive Coordination in Multirobot Systems. IEEE Trans. Fuzzy Syst. 32(4): 2005-2016 (2024) - [j153]Xiufang Chen, Long Jin, Bin Hu:
A Cerebellum-Inspired Control Scheme for Kinematic Control of Redundant Manipulators. IEEE Trans. Ind. Electron. 71(7): 7542-7550 (2024) - [j152]Xin Zheng, Mei Liu, Long Jin, Chenguang Yang:
Distributed Collaborative Control of Redundant Robots Under Weight-Unbalanced Directed Graphs. IEEE Trans. Ind. Informatics 20(1): 681-690 (2024) - [j151]Long Jin, Yingqi Chen, Mei Liu:
A Noise-Tolerant $k$-WTA Model With Its Application on Multirobot System. IEEE Trans. Ind. Informatics 20(3): 3574-3584 (2024) - [j150]Jiawang Tan, Mingsheng Shang, Long Jin:
Metaheuristic-Based RNN for Manipulability Optimization of Redundant Manipulators. IEEE Trans. Ind. Informatics 20(4): 6489-6498 (2024) - [j149]Weibing Li, Haimei Wu, Long Jin:
A Lower Dimension Zeroing Neural Network for Time-Variant Quadratic Programming Applied to Robot Pose Control. IEEE Trans. Ind. Informatics 20(10): 11835-11843 (2024) - [j148]Fan Zhang, Zhenming Su, Zhengtai Xie, Long Jin:
Discrete-Time Noise-Resilient Neural Dynamics for Model Predictive Motion-Force Control of Redundant Manipulators. IEEE Trans. Ind. Informatics 20(11): 13101-13112 (2024) - [j147]Long Jin, Longqi Liu, Xingxia Wang, Mingsheng Shang, Fei-Yue Wang:
Physical-Informed Neural Network for MPC-Based Trajectory Tracking of Vehicles With Noise Considered. IEEE Trans. Intell. Veh. 9(3): 4493-4503 (2024) - [j146]Ying Liufu, Long Jin, Mingsheng Shang, Xingxia Wang, Fei-Yue Wang:
ACP-Incorporated Perturbation-Resistant Neural Dynamics Controller for Autonomous Vehicles. IEEE Trans. Intell. Veh. 9(4): 4675-4686 (2024) - [j145]Jingping Liu, Xiujuan Du, Long Jin:
A Localization Algorithm for Underwater Acoustic Sensor Networks With Improved Newton Iteration and Simplified Kalman Filter. IEEE Trans. Mob. Comput. 23(12): 14459-14470 (2024) - [j144]Lin Wei, Long Jin, Xin Luo:
A Robust Coevolutionary Neural-Based Optimization Algorithm for Constrained Nonconvex Optimization. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7778-7791 (2024) - [j143]Jingkun Yan, Long Jin, Xin Luo, Shuai Li:
Modified RNN for Solving Comprehensive Sylvester Equation With TDOA Application. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12553-12563 (2024) - [j142]Long Jin, Zeyu Su, Dongyang Fu, Xiuchun Xiao:
Coevolutionary Neural Solution for Nonconvex Optimization With Noise Tolerance. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17571-17581 (2024) - [j141]Mei Liu, Jinyuan Zhang, Xiuchun Xiao, Long Jin:
Opinion Dynamics Considering Matthew Effect Under Switching Topology in Social Networks. IEEE Trans. Netw. Sci. Eng. 11(4): 3866-3875 (2024) - [j140]Xiufang Chen, Long Jin, Shuai Li:
An Online Learning Strategy for Echo State Network. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 644-655 (2024) - [j139]Long Jin, Wenbin Du, Dexiu Ma, Libin Jiao, Shuai Li:
Pseudoinverse-Free Recurrent Neural Dynamics for Time-Dependent System of Linear Equations With Constraints on Variable and Its Derivatives. IEEE Trans. Syst. Man Cybern. Syst. 54(8): 4966-4975 (2024) - [j138]Yang Shi, Wangrong Sheng, Jie Wang, Long Jin, Bin Li, Xiaobing Sun:
Real-Time Tracking Control and Efficiency Analyses for Stewart Platform Based on Discrete-Time Recurrent Neural Network. IEEE Trans. Syst. Man Cybern. Syst. 54(8): 5099-5111 (2024) - [j137]Zhengtai Xie, Yu Zheng, Long Jin:
A Data-Driven Image-Based Visual Servoing Scheme for Redundant Manipulators With Unknown Structure and Singularity Solution. IEEE Trans. Syst. Man Cybern. Syst. 54(10): 6230-6241 (2024) - [j136]Liangming Chen, Long Jin, Mingsheng Shang, Fei-Yue Wang:
Enhancing Representation Power of Deep Neural Networks With Negligible Parameter Growth for Industrial Applications. IEEE Trans. Syst. Man Cybern. Syst. 54(11): 6837-6848 (2024) - [c24]Ying Liufu, Long Jin, Fei-Yue Wang:
Neural-Dynamics-Based Active Steering Control for Autonomous Vehicles with Noises. IV 2024: 436-441 - 2023
- [b1]Xin Luo, Zhibin Li, Long Jin, Shuai Li:
Robot Control and Calibration - Innovative Control Schemes and Calibration Algorithms. Springer Briefs in Computer Science, Springer 2023, ISBN 978-981-99-5765-1, pp. 1-125 - [j135]Long Jin, Predrag S. Stanimirovic:
Guest Editorial: Special issue on recurrent dynamic neural networks: Theory and applications. CAAI Trans. Intell. Technol. 8(3): 547-548 (2023) - [j134]Yongbai Liu, Keping Liu, Gang Wang, Zhongbo Sun, Long Jin:
Noise-tolerant zeroing neurodynamic algorithm for upper limb motion intention-based human-robot interaction control in non-ideal conditions. Expert Syst. Appl. 213(Part): 118891 (2023) - [j133]Xiuchun Xiao, Chengze Jiang, Long Jin, Haoen Huang, Guan-Cheng Wang:
Nonlinear RNN with noise-immune: A robust and learning-free method for hyperspectral image target detection. Expert Syst. Appl. 229(Part A): 120490 (2023) - [j132]Jiliang Zhang, Long Jin, Tiantai Deng, Muhammad Tahir:
Editorial: Learning and control in robotic systems aided with neural dynamics. Frontiers Neurorobotics 17 (2023) - [j131]Siqi Liang, Bo Peng, Predrag S. Stanimirovic, Long Jin:
Design, analysis, and application of projected k-winner-take-all network. Inf. Sci. 621: 74-87 (2023) - [j130]Guoqi Zhang, Long Jin, Shuai Li:
Ball-Spin Control and Vibration Reduction Methods for Three-Wheel Pitching Device of Tennis Training Robot. J. Intell. Robotic Syst. 107(2): 30 (2023) - [j129]Zhongbo Sun, Taotao Heng, Liming Zhao, Keping Liu, Long Jin, Junzhi Yu:
A novel form-finding method via noise-tolerant neurodynamic model for symmetric tensegrity structure. Neural Comput. Appl. 35(9): 6813-6830 (2023) - [j128]Chuan Qin, Liangming Chen, Zangtai Cai, Mei Liu, Long Jin:
Long short-term memory with activation on gradient. Neural Networks 164: 135-145 (2023) - [j127]Long Jin, Lin Wei, Shuai Li:
Gradient-Based Differential Neural-Solution to Time-Dependent Nonlinear Optimization. IEEE Trans. Autom. Control. 68(1): 620-627 (2023) - [j126]Zhengtai Xie, Long Jin, Xin Luo:
Kinematics-Based Motion-Force Control for Redundant Manipulators With Quaternion Control. IEEE Trans Autom. Sci. Eng. 20(3): 1815-1828 (2023) - [j125]Long Jin, Jinchuan Zhao, Shuai Li:
A Data-Driven Sparse Motion Planning Scheme for Redundant Manipulators. IEEE Trans. Circuits Syst. II Express Briefs 70(7): 2600-2604 (2023) - [j124]Suibing Li, Long Jin, Shuai Li:
Modeling and Analysis of Competitive Behavior in Social Systems. IEEE Trans. Comput. Soc. Syst. 10(3): 1347-1355 (2023) - [j123]Long Jin, Siqi Liang, Xin Luo, MengChu Zhou:
Distributed and Time-Delayed -Winner-Take-All Network for Competitive Coordination of Multiple Robots. IEEE Trans. Cybern. 53(1): 641-652 (2023) - [j122]Xiufang Chen, Xin Luo, Long Jin, Shuai Li, Mei Liu:
Growing Echo State Network With an Inverse-Free Weight Update Strategy. IEEE Trans. Cybern. 53(2): 753-764 (2023) - [j121]Jiazheng Zhang, Long Jin, Yang Wang:
Collaborative Control for Multimanipulator Systems With Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 31(4): 1305-1314 (2023) - [j120]Xusheng Zhu, Lei Yuan, Qiang Li, Long Jin, Xuefang Nie, Cunhua Pan, Jiliang Zhang:
RIS-Assisted Full-Duplex Space Shift Keying: System Scheme and Performance Analysis. IEEE Trans. Green Commun. Netw. 7(4): 1981-1995 (2023) - [j119]Fan Zhang, Long Jin, Xin Luo:
Error-Summation Enhanced Newton Algorithm for Model Predictive Control of Redundant Manipulators. IEEE Trans. Ind. Electron. 70(3): 2800-2811 (2023) - [j118]Long Jin, Fan Zhang, Mei Liu, Sendren Sheng-Dong Xu:
Finite-Time Model Predictive Tracking Control of Position and Orientation for Redundant Manipulators. IEEE Trans. Ind. Electron. 70(6): 6017-6026 (2023) - [j117]Ying Liufu, Long Jin, Shuai Li:
Modified Gradient Projection Neural Network for Multiset Constrained Optimization. IEEE Trans. Ind. Informatics 19(9): 9413-9423 (2023) - [j116]Mei Liu, Huanmei Wu, Yang Shi, Long Jin:
High-Order Robust Discrete-Time Neural Dynamics for Time-Varying Multilinear Tensor Equation With $\mathcal {M}$-Tensor. IEEE Trans. Ind. Informatics 19(9): 9457-9467 (2023) - [j115]Zhongbo Sun, Shijun Tang, Long Jin, Jiliang Zhang, Junzhi Yu:
Nonconvex Activation Noise-Suppressing Neural Network for Time-Varying Quadratic Programming: Application to Omnidirectional Mobile Manipulator. IEEE Trans. Ind. Informatics 19(11): 10786-10798 (2023) - [j114]Mei Liu, Liangming Chen, Xiaohao Du, Long Jin, Mingsheng Shang:
Activated Gradients for Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(4): 2156-2168 (2023) - [j113]Long Jin, Guoqi Zhang, Yang Wang, Shuai Li:
RNN-Based Quadratic Programming Scheme for Tennis-Training Robots With Flexible Capabilities. IEEE Trans. Syst. Man Cybern. Syst. 53(2): 838-847 (2023) - [j112]Zhengtai Xie, Long Jin:
Hybrid Control of Orientation and Position for Redundant Manipulators Using Neural Network. IEEE Trans. Syst. Man Cybern. Syst. 53(5): 2737-2747 (2023) - [c23]Ying Liufu, Mei Liu, Long Jin, Feiyue Wang:
Gradient Projection Differential Neural Solution for Quadratic Optimization with Quadratic Constraints: An ACP Perspective. SMC 2023: 4325-4330 - 2022
- [j111]Zhongbo Sun, Gang Wang, Long Jin, Chao Cheng, Bangcheng Zhang, Junzhi Yu:
Noise-suppressing zeroing neural network for online solving time-varying matrix square roots problems: A control-theoretic approach. Expert Syst. Appl. 192: 116272 (2022) - [j110]Long Jin, Xin Zheng, Xin Luo:
Neural Dynamics for Distributed Collaborative Control of Manipulators With Time Delays. IEEE CAA J. Autom. Sinica 9(5): 854-863 (2022) - [j109]Mei Liu, Suibing Li, Long Jin:
Modeling and Analysis of Matthew Effect Under Switching Social Networks via Distributed Competition. IEEE CAA J. Autom. Sinica 9(7): 1311-1314 (2022) - [j108]Mei Liu, Xiaoyan Zhang, Mingsheng Shang, Long Jin:
Gradient-Based Differential $k\text{WTA}$ Network With Application to Competitive Coordination of Multiple Robots. IEEE CAA J. Autom. Sinica 9(8): 1452-1463 (2022) - [j107]Jingping Liu, Mei Liu, Xiujuan Du, Predrag S. Stanimirovic, Long Jin:
An improved DV-Hop algorithm for wireless sensor networks based on neural dynamics. Neurocomputing 491: 172-185 (2022) - [j106]Guancheng Wang, Zhihao Hao, Bob Zhang, Long Jin:
Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations. Inf. Sci. 588: 106-123 (2022) - [j105]Zhongbo Sun, Yongbai Liu, Gang Wang, Yufeng Lian, Keping Liu, Long Jin:
Discrete-time noise-tolerant Z-type model for online solving nonlinear time-varying equations in the presence of noises. J. Comput. Appl. Math. 403: 113824 (2022) - [j104]Zhixue Zhang, Xiujuan Du, Long Jin, Shuqiao Wang, Lijuan Wang, Xiuxiu Liu:
Large-scale underwater fish recognition via deep adversarial learning. Knowl. Inf. Syst. 64(2): 353-379 (2022) - [j103]Zhongbo Sun, Liming Zhao, Keping Liu, Long Jin, Junzhi Yu, Chunxu Li:
An advanced form-finding of tensegrity structures aided with noise-tolerant zeroing neural network. Neural Comput. Appl. 34(8): 6053-6066 (2022) - [j102]Long Jin, Yimeng Qi, Xin Luo, Shuai Li, Mingsheng Shang:
Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies. IEEE Trans Autom. Sci. Eng. 19(4): 3575-3586 (2022) - [j101]Yurong Zhong, Long Jin, Mingsheng Shang, Xin Luo:
Momentum-Incorporated Symmetric Non-Negative Latent Factor Models. IEEE Trans. Big Data 8(4): 1096-1106 (2022) - [j100]Xiuxiu Liu, Xiujuan Du, Jiliang Zhang, Duoliang Han, Long Jin:
ROFC-LF: Recursive Online Fountain Code With Limited Feedback for Underwater Acoustic Networks. IEEE Trans. Commun. 70(7): 4327-4342 (2022) - [j99]Yimeng Qi, Long Jin, Xin Luo, Yang Shi, Mei Liu:
Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination. IEEE Trans. Cybern. 52(8): 8515-8527 (2022) - [j98]Ying Liufu, Long Jin, Jinqiang Xu, Xiuchun Xiao, Dongyang Fu:
Reformative Noise-Immune Neural Network for Equality-Constrained Optimization Applied to Image Target Detection. IEEE Trans. Emerg. Top. Comput. 10(2): 973-984 (2022) - [j97]Dongyang Fu, Haoen Huang, Xiuchun Xiao, Linghui Xia, Long Jin:
A Generalized Complex-Valued Constrained Energy Minimization Scheme for the Arctic Sea Ice Extraction Aided With Neural Algorithm. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j96]Jingkun Yan, Long Jin, Zhanting Yuan, Zhiyi Liu:
RNN for Receding Horizon Control of Redundant Robot Manipulators. IEEE Trans. Ind. Electron. 69(2): 1608-1619 (2022) - [j95]Mei Liu, Jialiang Fan, Yu Zheng, Shuai Li, Long Jin:
A Simultaneous Learning and Control Scheme for Redundant Manipulators With Physical Constraints on Decision Variable and Its Derivative. IEEE Trans. Ind. Electron. 69(10): 10301-10310 (2022) - [j94]Jialiang Fan, Long Jin, Zhengtai Xie, Shuai Li, Yu Zheng:
Data-Driven Motion-Force Control Scheme for Redundant Manipulators: A Kinematic Perspective. IEEE Trans. Ind. Informatics 18(8): 5338-5347 (2022) - [j93]Yang Shi, Long Jin, Shuai Li, Jian Li, Jipeng Qiang, Dimitrios Gerontitis:
Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application. IEEE Trans. Neural Networks Learn. Syst. 33(2): 587-599 (2022) - [j92]Zhengtai Xie, Long Jin, Xin Luo, Zhongbo Sun, Mei Liu:
RNN for Repetitive Motion Generation of Redundant Robot Manipulators: An Orthogonal Projection-Based Scheme. IEEE Trans. Neural Networks Learn. Syst. 33(2): 615-628 (2022) - [j91]Xin Luo, Zhigang Liu, Long Jin, Yue Zhou, Mengchu Zhou:
Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1203-1215 (2022) - [j90]Yimeng Qi, Long Jin, Xin Luo, MengChu Zhou:
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1216-1227 (2022) - [j89]Dongyang Fu, Haoen Huang, Lin Wei, Xiuchun Xiao, Long Jin, Shan Liao, Jialiang Fan, Zhengtai Xie:
Modified Newton Integration Algorithm With Noise Tolerance Applied to Robotics. IEEE Trans. Syst. Man Cybern. Syst. 52(4): 2134-2144 (2022) - [j88]Long Jin, Jiachang Li, Zhongbo Sun, Jingwei Lu, Fei-Yue Wang:
Neural Dynamics for Computing Perturbed Nonlinear Equations Applied to ACP-Based Lower Limb Motion Intention Recognition. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5105-5113 (2022) - [j87]Zhengtai Xie, Long Jin, Xin Luo, Bin Hu, Shuai Li:
An Acceleration-Level Data-Driven Repetitive Motion Planning Scheme for Kinematic Control of Robots With Unknown Structure. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5679-5691 (2022) - [j86]Lin Wei, Long Jin, Xin Luo:
Noise-Suppressing Neural Dynamics for Time-Dependent Constrained Nonlinear Optimization With Applications. IEEE Trans. Syst. Man Cybern. Syst. 52(10): 6139-6150 (2022) - [j85]Xusheng Zhu, Lei Yuan, Qingqing Li, Qiang Li, Long Jin, Jiliang Zhang:
On the Performance of 3-D Spatial Modulation Over Measured Indoor Channels. IEEE Trans. Veh. Technol. 71(2): 2110-2115 (2022) - [c22]Liangming Chen, Long Jin, Mingsheng Shang:
Zero Stability Well Predicts Performance of Convolutional Neural Networks. AAAI 2022: 6268-6277 - [c21]Jiazheng Zhang, Jingkun Yan, Xiujuan Du, Long Jin:
Multi-Robot Distributed Coordination in IOT Systems: An ACP Framework. DTPI 2022: 1-4 - [i7]Liangming Chen, Long Jin, Mingsheng Shang:
Zero Stability Well Predicts Performance of Convolutional Neural Networks. CoRR abs/2206.13100 (2022) - 2021
- [j84]Predrag S. Stanimirovic, Vasilios N. Katsikis, Long Jin, Dijana Mosic:
Properties and computation of continuous-time solutions to linear systems. Appl. Math. Comput. 405: 126242 (2021) - [j83]Zhongbo Sun, Feng Li, Xiaoqin Duan, Long Jin, Yufeng Lian, Shuaishi Liu, Keping Liu:
A novel adaptive iterative learning control approach and human-in-the-loop control pattern for lower limb rehabilitation robot in disturbances environment. Auton. Robots 45(4): 595-610 (2021) - [j82]Mei Liu, Hongwei Li, Yan Li, Long Jin, Zhiguan Huang:
From WASD to BLS with application to pattern classification. Appl. Soft Comput. 108: 107455 (2021) - [j81]Bei Liu, Dongyang Fu, Yimeng Qi, Haoen Huang, Long Jin:
Noise-tolerant gradient-oriented neurodynamic model for solving the Sylvester equation. Appl. Soft Comput. 109: 107514 (2021) - [j80]Yuanyuan Chai, Keping Liu, Chunxu Li, Zhongbo Sun, Long Jin, Tian Shi:
A novel method based on long short term memory network and discrete-time zeroing neural algorithm for upper-limb continuous estimation using sEMG signals. Biomed. Signal Process. Control. 67: 102416 (2021) - [j79]Xiaoyan Zhang, Liangming Chen, Shuai Li, Predrag S. Stanimirovic, Jiliang Zhang, Long Jin:
Design and analysis of recurrent neural network models with non-linear activation functions for solving time-varying quadratic programming problems. CAAI Trans. Intell. Technol. 6(4): 394-404 (2021) - [j78]Keping Liu, Yongbai Liu, Yun Zhang, Lin Wei, Zhongbo Sun, Long Jin:
Five-step discrete-time noise-tolerant zeroing neural network model for time-varying matrix inversion with application to manipulator motion generation. Eng. Appl. Artif. Intell. 103: 104306 (2021) - [j77]Tian Shi, Yantao Tian, Zhongbo Sun, Keping Liu, Long Jin, Junzhi Yu:
Noise-tolerant neural algorithm for online solving Yang-Baxter-type matrix equation in the presence of noises: A control-based method. Neurocomputing 424: 84-96 (2021) - [j76]Shuqiao Wang, Long Jin, Xiujuan Du, Predrag S. Stanimirovic:
Accelerated convergent zeroing neurodynamics models for solving multi-linear systems with M-tensors. Neurocomputing 458: 271-283 (2021) - [j75]Bo Peng, Long Jin, Mingsheng Shang:
Multi-robot competitive tracking based on k-WTA neural network with one single neuron. Neurocomputing 460: 1-8 (2021) - [j74]Guan-Cheng Wang, Haoen Huang, Limei Shi, Chuhong Wang, Dongyang Fu, Long Jin, Xiuchun Xiao:
A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems. Inf. Sci. 550: 239-251 (2021) - [j73]Zhixue Zhang, Xiujuan Du, Long Jin, Duoliang Han, Chong Li, Xin Liu:
Discriminative feature learning for underwater fish recognition. J. Electronic Imaging 30(2): 023020 (2021) - [j72]Zhongbo Sun, Tian Shi, Long Jin, Bangcheng Zhang, Zaixiang Pang, Junzhi Yu:
Discrete-time zeroing neural network of O(τ4) pattern for online solving time-varying nonlinear optimization problem: Application to manipulator motion generation. J. Frankl. Inst. 358(14): 7203-7220 (2021) - [j71]Haoen Huang, Dongyang Fu, Guan-Cheng Wang, Long Jin, Shan Liao, Huan Wang:
Modified Newton integration algorithm with noise suppression for online dynamic nonlinear optimization. Numer. Algorithms 87(2): 575-599 (2021) - [j70]Zhengtai Xie, Long Jin, Xin Luo, Shuai Li, Xiuchun Xiao:
A Data-Driven Cyclic-Motion Generation Scheme for Kinematic Control of Redundant Manipulators. IEEE Trans. Control. Syst. Technol. 29(1): 53-63 (2021) - [j69]Long Jin, Jiazheng Zhang, Xin Luo, Mei Liu, Shuai Li, Lin Xiao, Zihao Yang:
Perturbed Manipulability Optimization in a Distributed Network of Redundant Robots. IEEE Trans. Ind. Electron. 68(8): 7209-7220 (2021) - [j68]Long Jin, Ying Liufu, Huiyan Lu, Zhijun Zhang:
Saturation-Allowed Neural Dynamics Applied to Perturbed Time-Dependent System of Linear Equations and Robots. IEEE Trans. Ind. Electron. 68(10): 9844-9854 (2021) - [j67]Haoen Huang, Dongyang Fu, Xiuchun Xiao, Yangyang Ning, Huan Wang, Long Jin, Shan Liao:
Modified Newton Integration Neural Algorithm for Dynamic Complex-Valued Matrix Pseudoinversion Applied to Mobile Object Localization. IEEE Trans. Ind. Informatics 17(4): 2432-2442 (2021) - [j66]Lin Wei, Long Jin, Chenguang Yang, Ke Chen, Weibing Li:
New Noise-Tolerant Neural Algorithms for Future Dynamic Nonlinear Optimization With Estimation on Hessian Matrix Inversion. IEEE Trans. Syst. Man Cybern. Syst. 51(4): 2611-2623 (2021) - [j65]Weibing Li, Xin Ma, Jiawei Luo, Long Jin:
A Strictly Predefined-Time Convergent Neural Solution to Equality- and Inequality-Constrained Time-Variant Quadratic Programming. IEEE Trans. Syst. Man Cybern. Syst. 51(7): 4028-4039 (2021) - [j64]Lin Xiao, Jianhua Dai, Long Jin, Weibing Li, Shuai Li, Jian Hou:
A Noise-Enduring and Finite-Time Zeroing Neural Network for Equality-Constrained Time-Varying Nonlinear Optimization. IEEE Trans. Syst. Man Cybern. Syst. 51(8): 4729-4740 (2021) - [j63]Huiyan Lu, Long Jin, Jiliang Zhang, Zhenan Sun, Shuai Li, Zhijun Zhang:
New Joint-Drift-Free Scheme Aided with Projected ZNN for Motion Generation of Redundant Robot Manipulators Perturbed by Disturbances. IEEE Trans. Syst. Man Cybern. Syst. 51(9): 5639-5651 (2021) - [c20]Liming Zhao, Keping Liu, Chunxu Li, Long Jin, Zhongbo Sun:
Form-finding of Tensegrity Structures Utilizing a Nonlinear Fletcher-Reeves Conjugate Gradient Method. RCAR 2021: 732-737 - [i6]Mei Liu, Liangming Chen, Xiaohao Du, Long Jin, Mingsheng Shang:
Activated Gradients for Deep Neural Networks. CoRR abs/2107.04228 (2021) - [i5]Chengze Jiang, Long Jin, Xiuchun Xiao:
Residual-Based Adaptive Coefficient and Noise-Immunity ZNN for Perturbed Time-Dependent Quadratic Minimization. CoRR abs/2112.01773 (2021) - 2020
- [j62]Zhongbo Sun, Yongbai Liu, Lin Wei, Keping Liu, Long Jin, Luquan Ren:
Two DTZNN Models of O(τ4) Pattern for Online Solving Dynamic System of Linear Equations: Application to Manipulator Motion Generation. IEEE Access 8: 36624-36638 (2020) - [j61]Zhiguan Huang, Xiaohao Du, Liangming Chen, Yuhe Li, Mei Liu, Yao Chou, Long Jin:
Convolutional Neural Network Based on Complex Networks for Brain Tumor Image Classification With a Modified Activation Function. IEEE Access 8: 89281-89290 (2020) - [j60]Long Jin, Li He, Zhiguan Huang, Jun Wang:
Recurrent Neural Network for State Adjustment of Redundant Manipulators. IEEE Access 8: 109783-109790 (2020) - [j59]Zhiguan Huang, Zhengtai Xie, Long Jin, Yuhe Li:
A Gradient-Based Recurrent Neural Network for Visual Servoing of Robot Manipulators with Acceleration Command. Complex. 2020: 2305459:1-2305459:11 (2020) - [j58]Shan Liao, Jiayong Liu, Xiuchun Xiao, Dongyang Fu, Guan-Cheng Wang, Long Jin:
Modified gradient neural networks for solving the time-varying Sylvester equation with adaptive coefficients and elimination of matrix inversion. Neurocomputing 379: 1-11 (2020) - [j57]Jian Li, Yingyi Sun, Zhongbo Sun, Feng Li, Long Jin:
Noise-tolerant Z-type neural dynamics for online solving time-varying inverse square root problems: A control-based approach. Neurocomputing 382: 233-248 (2020) - [j56]Xiuchun Xiao, Dongyang Fu, Guan-Cheng Wang, Shan Liao, Yimeng Qi, Haoen Huang, Long Jin:
Two neural dynamics approaches for computing system of time-varying nonlinear equations. Neurocomputing 394: 84-94 (2020) - [j55]Zhongbo Sun, Feng Li, Long Jin, Tian Shi, Keping Liu:
Noise-tolerant neural algorithm for online solving time-varying full-rank matrix Moore-Penrose inverse problems: A control-theoretic approach. Neurocomputing 413: 158-172 (2020) - [j54]Xiuchun Xiao, Chengze Jiang, Huiyan Lu, Long Jin, Dazhao Liu, Haoen Huang, Yi Pan:
A parallel computing method based on zeroing neural networks for time-varying complex-valued matrix Moore-Penrose inversion. Inf. Sci. 524: 216-228 (2020) - [j53]Yang Shi, Long Jin, Shuai Li, Jipeng Qiang:
Proposing, developing and verification of a novel discrete-time zeroing neural network for solving future augmented Sylvester matrix equation. J. Frankl. Inst. 357(6): 3636-3655 (2020) - [j52]Zhongbo Sun, Tian Shi, Lin Wei, Yingyi Sun, Keping Liu, Long Jin:
Noise-suppressing zeroing neural network for online solving time-varying nonlinear optimization problem: a control-based approach. Neural Comput. Appl. 32(15): 11505-11520 (2020) - [j51]Yimeng Qi, Long Jin, Hongxin Li, Yangming Li, Mei Liu:
Discrete Computational Neural Dynamics Models for Solving Time-Dependent Sylvester Equation With Applications to Robotics and MIMO Systems. IEEE Trans. Ind. Informatics 16(10): 6231-6241 (2020) - [j50]Long Jin, Jingkun Yan, Xiujuan Du, Xiuchun Xiao, Dongyang Fu:
RNN for Solving Time-Variant Generalized Sylvester Equation With Applications to Robots and Acoustic Source Localization. IEEE Trans. Ind. Informatics 16(10): 6359-6369 (2020) - [j49]Yimeng Qi, Long Jin, Yaonan Wang, Lin Xiao, Jiliang Zhang:
Complex-Valued Discrete-Time Neural Dynamics for Perturbed Time-Dependent Complex Quadratic Programming With Applications. IEEE Trans. Neural Networks Learn. Syst. 31(9): 3555-3569 (2020) - [j48]Jiazheng Zhang, Long Jin, Long Cheng:
RNN for Perturbed Manipulability Optimization of Manipulators Based on a Distributed Scheme: A Game-Theoretic Perspective. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5116-5126 (2020) - [j47]Lin Xiao, Shuai Li, Kenli Li, Long Jin, Bolin Liao:
Co-Design of Finite-Time Convergence and Noise Suppression: A Unified Neural Model for Time Varying Linear Equations With Robotic Applications. IEEE Trans. Syst. Man Cybern. Syst. 50(12): 5233-5243 (2020) - [c19]Ying Liufu, Long Jin, Mei Liu, Shuai Li:
A Recommender Algorithm: Gradient Recurrent Neural Network Applied to Yang-Baxter-Like Equation. ICDM (Workshops) 2020: 159-165 - [c18]Di Wu, Long Jin, Xin Luo:
PMLF: Prediction-Sampling-based Multilayer-Structured Latent Factor Analysis. ICDM 2020: 671-680 - [c17]Dexiu Ma, Long Jin, Dongyang Fu, Xiuchun Xiao, Mei Liu:
On Position and Attitude Control of Flapping Wing Micro-aerial Vehicle. ISNN 2020: 207-216 - [i4]Liangming Chen, Long Jin, Xiujuan Du, Shuai Li, Mei Liu:
Deforming the Loss Surface to Affect the Behaviour of the Optimizer. CoRR abs/2009.08274 (2020)
2010 – 2019
- 2019
- [j46]Long Jin, Zhiguan Huang, Yuhe Li, Zhongbo Sun, Hongwei Li, Jiliang Zhang:
On Modified Multi-Output Chebyshev-Polynomial Feed-Forward Neural Network for Pattern Classification of Wine Regions. IEEE Access 7: 1973-1980 (2019) - [j45]Liangming Chen, Zhiguan Huang, Yuhe Li, Nianyin Zeng, Mei Liu, Anjie Peng, Long Jin:
Weight and Structure Determination Neural Network Aided With Double Pseudoinversion for Diagnosis of Flat Foot. IEEE Access 7: 33001-33008 (2019) - [j44]Dongyang Fu, Huan Wang, Xiuchun Xiao, Shan Liao, Long Jin:
Adaptive Zeroing-Gradient Controller for Ship Course Tracking With Near Singularity Considered and Zero Theoretical Tracking Error. IEEE Access 7: 38205-38212 (2019) - [j43]Hongwei Li, Zhiguan Huang, Jinshan Fu, Yuhe Li, Nianyin Zeng, Jiliang Zhang, Chengxu Ye, Long Jin:
Modified Weights-and-Structure-Determination Neural Network for Pattern Classification of Flatfoot. IEEE Access 7: 63146-63154 (2019) - [j42]Wenhui Duan, Xiuchun Xiao, Dongyang Fu, Jingwen Yan, Mei Liu, Jiliang Zhang, Long Jin:
Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection. IEEE Access 7: 102941-102950 (2019) - [j41]Long Jin, Shuai Li, Bin Hu, Mei Liu:
A survey on projection neural networks and their applications. Appl. Soft Comput. 76: 533-544 (2019) - [j40]Long Jin, Shuai Li, Hung Manh La, Xin Zhang, Bin Hu:
Dynamic task allocation in multi-robot coordination for moving target tracking: A distributed approach. Autom. 100: 75-81 (2019) - [j39]Zhongbo Sun, Feng Li, Bangcheng Zhang, Yingyi Sun, Long Jin:
Different modified zeroing neural dynamics with inherent tolerance to noises for time-varying reciprocal problems: A control-theoretic approach. Neurocomputing 337: 165-179 (2019) - [j38]Long Jin, Zhiguan Huang, Liangming Chen, Mei Liu, Yuhe Li, Yao Chou, Chenfu Yi:
Modified single-output Chebyshev-polynomial feedforward neural network aided with subset method for classification of breast cancer. Neurocomputing 350: 128-135 (2019) - [j37]Lin Xiao, Kenli Li, Zhiguo Tan, Zhijun Zhang, Bolin Liao, Ke Chen, Long Jin, Shuai Li:
Nonlinear gradient neural network for solving system of linear equations. Inf. Process. Lett. 142: 35-40 (2019) - [j36]Long Jin, Shuai Li, Bin Hu, Mei Liu, Jiguo Yu:
A Noise-Suppressing Neural Algorithm for Solving the Time-Varying System of Linear Equations: A Control-Based Approach. IEEE Trans. Ind. Informatics 15(1): 236-246 (2019) - [j35]Xiaogang Yan, Mei Liu, Long Jin, Shuai Li, Bin Hu, Xin Zhang, Zhiguan Huang:
New Zeroing Neural Network Models for Solving Nonstationary Sylvester Equation With Verifications on Mobile Manipulators. IEEE Trans. Ind. Informatics 15(9): 5011-5022 (2019) - [j34]Zhengtai Xie, Long Jin, Xiujuan Du, Xiuchun Xiao, Hongxin Li, Shuai Li:
On Generalized RMP Scheme for Redundant Robot Manipulators Aided With Dynamic Neural Networks and Nonconvex Bound Constraints. IEEE Trans. Ind. Informatics 15(9): 5172-5181 (2019) - [j33]Huiyan Lu, Long Jin, Xin Luo, Bolin Liao, Dongsheng Guo, Lin Xiao:
RNN for Solving Perturbed Time-Varying Underdetermined Linear System With Double Bound Limits on Residual Errors and State Variables. IEEE Trans. Ind. Informatics 15(11): 5931-5942 (2019) - [c16]Shengzhen Ruan, Bin Hu, Kyeong Jin Kim, Qiang Li, Lei Yuan, Long Jin, Jiliang Zhang:
Diversity Analysis for Spatial Scattering Modulation in Millimeter Wave MIMO System. WCSP 2019: 1-5 - 2018
- [j32]Long Jin, Shuai Li, Huanqing Wang, Zhijun Zhang:
Nonconvex projection activated zeroing neurodynamic models for time-varying matrix pseudoinversion with accelerated finite-time convergence. Appl. Soft Comput. 62: 840-850 (2018) - [j31]Mei Liu, Shuai Li, Xiaodi Li, Long Jin, Chenfu Yi, Zhiguan Huang:
Intelligent Controllers for Multirobot Competitive and Dynamic Tracking. Complex. 2018: 4573631:1-4573631:12 (2018) - [j30]Long Jin, Shuai Li, Jiguo Yu, Jinbo He:
Robot manipulator control using neural networks: A survey. Neurocomputing 285: 23-34 (2018) - [j29]Long Jin, Shuai Li, Bin Hu, Chenfu Yi:
Dynamic neural networks aided distributed cooperative control of manipulators capable of different performance indices. Neurocomputing 291: 50-58 (2018) - [j28]Long Jin, Yunong Zhang, Binbin Qiu:
Neural network-based discrete-time Z-type model of high accuracy in noisy environments for solving dynamic system of linear equations. Neural Comput. Appl. 29(11): 1217-1232 (2018) - [j27]Lin Xiao, Bolin Liao, Shuai Li, Zhijun Zhang, Lei Ding, Long Jin:
Design and Analysis of FTZNN Applied to the Real-Time Solution of a Nonstationary Lyapunov Equation and Tracking Control of a Wheeled Mobile Manipulator. IEEE Trans. Ind. Informatics 14(1): 98-105 (2018) - [j26]Long Jin, Shuai Li, Bin Hu:
RNN Models for Dynamic Matrix Inversion: A Control-Theoretical Perspective. IEEE Trans. Ind. Informatics 14(1): 189-199 (2018) - [j25]Long Jin, Shuai Li, Xin Luo, Yangming Li, Bin Qin:
Neural Dynamics for Cooperative Control of Redundant Robot Manipulators. IEEE Trans. Ind. Informatics 14(9): 3812-3821 (2018) - [j24]Long Jin, Shuai Li:
Distributed Task Allocation of Multiple Robots: A Control Perspective. IEEE Trans. Syst. Man Cybern. Syst. 48(5): 693-701 (2018) - [j23]Long Jin, Shuai Li, Lin Xiao, Rongbo Lu, Bolin Liao:
Cooperative Motion Generation in a Distributed Network of Redundant Robot Manipulators With Noises. IEEE Trans. Syst. Man Cybern. Syst. 48(10): 1715-1724 (2018) - 2017
- [j22]Lin Xiao, Yongsheng Zhang, Bolin Liao, Zhijun Zhang, Lei Ding, Long Jin:
A Velocity-Level Bi-Criteria Optimization Scheme for Coordinated Path Tracking of Dual Robot Manipulators Using Recurrent Neural Network. Frontiers Neurorobotics 11: 47 (2017) - [j21]Long Jin, Bolin Liao, Mei Liu, Lin Xiao, Dongsheng Guo, Xiaogang Yan:
Different-Level Simultaneous Minimization Scheme for Fault Tolerance of Redundant Manipulator Aided with Discrete-Time Recurrent Neural Network. Frontiers Neurorobotics 11: 50 (2017) - [j20]Mohammed Aquil Mirza, Shuai Li, Long Jin:
Simultaneous learning and control of parallel Stewart platforms with unknown parameters. Neurocomputing 266: 114-122 (2017) - [j19]Long Jin, Shuai Li:
Nonconvex function activated zeroing neural network models for dynamic quadratic programming subject to equality and inequality constraints. Neurocomputing 267: 107-113 (2017) - [j18]Long Jin, Shuai Li, Bolin Liao, Zhijun Zhang:
Zeroing neural networks: A survey. Neurocomputing 267: 597-604 (2017) - [j17]Long Jin, Yunong Zhang, Shuai Li, Yinyan Zhang:
Noise-Tolerant ZNN Models for Solving Time-Varying Zero-Finding Problems: A Control-Theoretic Approach. IEEE Trans. Autom. Control. 62(2): 992-997 (2017) - [j16]Long Jin, Shuai Li, Hung Manh La, Xin Luo:
Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks. IEEE Trans. Ind. Electron. 64(6): 4710-4720 (2017) - [j15]Shuai Li, Yunong Zhang, Long Jin:
Kinematic Control of Redundant Manipulators Using Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2243-2254 (2017) - [c15]Mei Liu, Shuai Li, Yinyan Zhang, Long Jin:
Further Investigations on Noise-Tolerant Zeroing Neural Network for Time-Varying Quadratic Programming with Robotic Applications. ICACS 2017: 107-112 - [c14]Justin Lazarow, Long Jin, Zhuowen Tu:
Introspective Neural Networks for Generative Modeling. ICCV 2017: 2793-2802 - [c13]Yinyan Zhang, Shuai Li, Bolin Liao, Long Jin, Linsen Zheng:
A recurrent neural network approach for visual servoing of manipulators. ICIA 2017: 614-619 - [c12]Yunong Zhang, Ziyu Yin, Huanchang Huang, Liangyu He, Long Jin:
Acceleration-level fault-tolerant scheme for redundant manipulator motion planning and control: Theoretics. IECON 2017: 6703-6708 - [c11]Long Jin, Shuai Li, Xin Luo, Mingsheng Shang:
Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms. IJCNN 2017: 4165-4170 - [c10]Long Jin, Justin Lazarow, Zhuowen Tu:
Introspective Classification with Convolutional Nets. NIPS 2017: 823-833 - [i3]Long Jin, Justin Lazarow, Zhuowen Tu:
Introspective Classifier Learning: Empower Generatively. CoRR abs/1704.07816 (2017) - [i2]Justin Lazarow, Long Jin, Zhuowen Tu:
Introspective Generative Modeling: Decide Discriminatively. CoRR abs/1704.07820 (2017) - 2016
- [j14]Yunong Zhang, Dechao Chen, Long Jin, Yinyan Zhang, Yonghua Yin:
GD-aided IOL (input-output linearisation) controller for handling affine-form nonlinear system with loose condition on relative degree. Int. J. Control 89(4): 757-769 (2016) - [j13]Long Jin, Yunong Zhang, Tianjian Qiao, Manchun Tan, Yinyan Zhang:
Tracking control of modified Lorenz nonlinear system using ZG neural dynamics with additive input or mixed inputs. Neurocomputing 196: 82-94 (2016) - [j12]Mingzhi Mao, Jian Li, Long Jin, Shuai Li, Yunong Zhang:
Enhanced discrete-time Zhang neural network for time-variant matrix inversion in the presence of bias noises. Neurocomputing 207: 220-230 (2016) - [j11]Yunong Zhang, Keke Zhai, Dechao Chen, Long Jin, Chaowei Hu:
Challenging simulation practice (failure and success) on implicit tracking control of double-integrator system via Zhang-gradient method. Math. Comput. Simul. 120: 104-119 (2016) - [j10]Long Jin, Yunong Zhang:
Continuous and discrete Zhang dynamics for real-time varying nonlinear optimization. Numer. Algorithms 73(1): 115-140 (2016) - [j9]Long Jin, Yunong Zhang, Shuai Li, Yinyan Zhang:
Modified ZNN for Time-Varying Quadratic Programming With Inherent Tolerance to Noises and Its Application to Kinematic Redundancy Resolution of Robot Manipulators. IEEE Trans. Ind. Electron. 63(11): 6978-6988 (2016) - [j8]Bolin Liao, Yunong Zhang, Long Jin:
Taylor O(h3) Discretization of ZNN Models for Dynamic Equality-Constrained Quadratic Programming With Application to Manipulators. IEEE Trans. Neural Networks Learn. Syst. 27(2): 225-237 (2016) - [j7]Long Jin, Yunong Zhang, Shuai Li:
Integration-Enhanced Zhang Neural Network for Real-Time-Varying Matrix Inversion in the Presence of Various Kinds of Noises. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2615-2627 (2016) - [i1]Long Jin, Zeyu Chen, Zhuowen Tu:
Object Detection Free Instance Segmentation With Labeling Transformations. CoRR abs/1611.08991 (2016) - 2015
- [j6]Yunong Zhang, Binbin Qiu, Long Jin, Dongsheng Guo, Zhi Yang:
Infinitely many Zhang functions resulting in various ZNN models for time-varying matrix inversion with link to Drazin inverse. Inf. Process. Lett. 115(9): 703-706 (2015) - [j5]Yunong Zhang, Long Jin, Dongsheng Guo, Yonghua Yin, Yao Chou:
Taylor-type 1-step-ahead numerical differentiation rule for first-order derivative approximation and ZNN discretization. J. Comput. Appl. Math. 273: 29-40 (2015) - [j4]Long Jin, Yunong Zhang:
G2-Type SRMPC Scheme for Synchronous Manipulation of Two Redundant Robot Arms. IEEE Trans. Cybern. 45(2): 153-164 (2015) - [j3]Long Jin, Yunong Zhang:
Discrete-Time Zhang Neural Network for Online Time-Varying Nonlinear Optimization With Application to Manipulator Motion Generation. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1525-1531 (2015) - 2014
- [j2]Long Jin, Yunong Zhang:
Discrete-time Zhang neural network of O(τ3) pattern for time-varying matrix pseudoinversion with application to manipulator motion generation. Neurocomputing 142: 165-173 (2014) - [c9]Yunong Zhang, Tianjian Qiao, Bolin Liao, Long Jin, Junwei Chen:
From Newton Fractals to Gradient Fractals in Addition to Zhang Fractals. CSE 2014: 1237-1242 - [c8]Dongsheng Guo, Xiaogang Yan, Long Jin, Hongzhou Tan, Yunong Zhang:
ZE in iZ1eD1 manner for MKE redundancy resolution at velocity and acceleration levels. ICSAI 2014: 45-50 - [c7]Long Jin, Hongzhou Tan, Ziyi Luo, Zhan Li, Yunong Zhang:
Z-Type Model for Real-Time Solution of Complex ZLE. ISNN 2014: 286-293 - 2013
- [c6]Yunong Zhang, Dechao Chen, Long Jin, Ying Wang, Feiheng Luo:
Twice-Pruning Aided WASD Neuronet of Bernoulli-Polynomial Type with Extension to Robust Classification. DASC 2013: 334-339 - [c5]Yunong Zhang, Wenchao Lao, Long Jin, Tinhao Chen, Jinrong Liu:
Growing-type WASD for power-activation neuronet to model and forecast monthly time series. ICCA 2013: 1312-1317 - [c4]Yunong Zhang, Ying Wang, Long Jin, Bingguo Mu, Huicheng Zheng:
Different ZFs Leading to Various ZNN Models Illustrated via Online Solution of Time-Varying Underdetermined Systems of Linear Equations with Robotic Application. ISNN (2) 2013: 481-488 - [c3]Yunong Zhang, Ying Wang, Yonghua Yin, Long Jin, Dechao Chen:
ZG controllers for output tracking of nonlinear mass-spring-damper mechanical system with division-by-zero problem solved. ROBIO 2013: 1845-1850 - 2012
- [j1]Yunong Zhang, Long Jin, Zhende Ke:
Superior performance of using hyperbolic sine activation functions in ZNN illustrated via time-varying matrix square roots finding. Comput. Sci. Inf. Syst. 9(4): 1603-1625 (2012) - [c2]Yunong Zhang, Long Jin, Zhijun Zhang, Lin Xiao, Senbo Fu:
Zhang Fractals Yielded via Solving Time-Varying Nonlinear Complex Equations by Discrete-Time Complex-Valued ZD. AICI 2012: 596-603 - [c1]Yunong Zhang, Long Jin, Dongsheng Guo, Senbo Fu, Lin Xiao:
Three nonlinearly-activated discrete-Time ZNN models for time-varying matrix inversion. ICNC 2012: 163-167
Coauthor Index
[j159] [j158] [j143] [j140] [j139] [b1] [j130] [j127] [j125] [j124] [j122] [j117] [j113] [j102] [j95] [j94] [j93] [j87] [j79] [j70] [j69] [j64] [j63] [j53] [j47] [c19] [i4] [j41] [j40] [j37] [j36] [j35] [j34] [j32] [j31] [j30] [j29] [j27] [j26] [j25] [j24] [j23] [j20] [j19] [j18] [j17] [j16] [j15] [c15] [c13] [c11] [j12] [j9] [j7]
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