Long Jin
Orcid: 0000-0002-5329-5098Affiliations:
- Lanzhou University, Lanzhou, China
According to our database1,
Long Jin
authored at least 171 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Ind. Informatics, April, 2024
IEEE Trans. Fuzzy Syst., April, 2024
IEEE Trans. Ind. Informatics, March, 2024
A Fuzzy Neural Controller for Model-Free Control of Redundant Manipulators With Unknown Kinematic Parameters.
IEEE Trans. Fuzzy Syst., March, 2024
IEEE Trans. Circuits Syst. II Express Briefs, February, 2024
IEEE Trans. Syst. Man Cybern. Syst., January, 2024
Distributed Collaborative Control of Redundant Robots Under Weight-Unbalanced Directed Graphs.
IEEE Trans. Ind. Informatics, January, 2024
A Cerebellum-Inspired Control Scheme for Kinematic Control of Redundant Manipulators.
IEEE Trans. Ind. Electron., 2024
2023
IEEE Trans. Green Commun. Netw., December, 2023
Nonconvex Activation Noise-Suppressing Neural Network for Time-Varying Quadratic Programming: Application to Omnidirectional Mobile Manipulator.
IEEE Trans. Ind. Informatics, November, 2023
Nonlinear RNN with noise-immune: A robust and learning-free method for hyperspectral image target detection.
Expert Syst. Appl., November, 2023
Guest Editorial: Special issue on recurrent dynamic neural networks: Theory and applications.
CAAI Trans. Intell. Technol., September, 2023
IEEE Trans. Circuits Syst. II Express Briefs, July, 2023
Kinematics-Based Motion-Force Control for Redundant Manipulators With Quaternion Control.
IEEE Trans Autom. Sci. Eng., July, 2023
Finite-Time Model Predictive Tracking Control of Position and Orientation for Redundant Manipulators.
IEEE Trans. Ind. Electron., June, 2023
Frontiers Neurorobotics, June, 2023
Hybrid Control of Orientation and Position for Redundant Manipulators Using Neural Network.
IEEE Trans. Syst. Man Cybern. Syst., May, 2023
IEEE Trans. Neural Networks Learn. Syst., April, 2023
IEEE Trans. Fuzzy Syst., April, 2023
Inf. Sci., April, 2023
A novel form-finding method via noise-tolerant neurodynamic model for symmetric tensegrity structure.
Neural Comput. Appl., March, 2023
Ball-Spin Control and Vibration Reduction Methods for Three-Wheel Pitching Device of Tennis Training Robot.
J. Intell. Robotic Syst., February, 2023
Robot Control and Calibration - Innovative Control Schemes and Calibration Algorithms
Springer Briefs in Computer Science, Springer, ISBN: 978-981-99-5765-1, 2023
RNN-Based Quadratic Programming Scheme for Tennis-Training Robots With Flexible Capabilities.
IEEE Trans. Syst. Man Cybern. Syst., 2023
IEEE Trans. Ind. Informatics, 2023
High-Order Robust Discrete-Time Neural Dynamics for Time-Varying Multilinear Tensor Equation With $\mathcal {M}$-Tensor.
IEEE Trans. Ind. Informatics, 2023
Error-Summation Enhanced Newton Algorithm for Model Predictive Control of Redundant Manipulators.
IEEE Trans. Ind. Electron., 2023
Distributed and Time-Delayed -Winner-Take-All Network for Competitive Coordination of Multiple Robots.
IEEE Trans. Cybern., 2023
IEEE Trans. Cybern., 2023
IEEE Trans. Comput. Soc. Syst., 2023
Gradient-Based Differential Neural-Solution to Time-Dependent Nonlinear Optimization.
IEEE Trans. Autom. Control., 2023
Noise-tolerant zeroing neurodynamic algorithm for upper limb motion intention-based human-robot interaction control in non-ideal conditions.
Expert Syst. Appl., 2023
Gradient Projection Differential Neural Solution for Quadratic Optimization with Quadratic Constraints: An ACP Perspective.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
2022
IEEE Trans. Veh. Technol., 2022
An Acceleration-Level Data-Driven Repetitive Motion Planning Scheme for Kinematic Control of Robots With Unknown Structure.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Noise-Suppressing Neural Dynamics for Time-Dependent Constrained Nonlinear Optimization With Applications.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Neural Dynamics for Computing Perturbed Nonlinear Equations Applied to ACP-Based Lower Limb Motion Intention Recognition.
IEEE Trans. Syst. Man Cybern. Syst., 2022
IEEE Trans. Syst. Man Cybern. Syst., 2022
RNN for Repetitive Motion Generation of Redundant Robot Manipulators: An Orthogonal Projection-Based Scheme.
IEEE Trans. Neural Networks Learn. Syst., 2022
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., 2022
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective.
IEEE Trans. Neural Networks Learn. Syst., 2022
Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2022
Data-Driven Motion-Force Control Scheme for Redundant Manipulators: A Kinematic Perspective.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Ind. Electron., 2022
A Simultaneous Learning and Control Scheme for Redundant Manipulators With Physical Constraints on Decision Variable and Its Derivative.
IEEE Trans. Ind. Electron., 2022
A Generalized Complex-Valued Constrained Energy Minimization Scheme for the Arctic Sea Ice Extraction Aided With Neural Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2022
Reformative Noise-Immune Neural Network for Equality-Constrained Optimization Applied to Image Target Detection.
IEEE Trans. Emerg. Top. Comput., 2022
Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination.
IEEE Trans. Cybern., 2022
ROFC-LF: Recursive Online Fountain Code With Limited Feedback for Underwater Acoustic Networks.
IEEE Trans. Commun., 2022
IEEE Trans. Big Data, 2022
Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies.
IEEE Trans Autom. Sci. Eng., 2022
An advanced form-finding of tensegrity structures aided with noise-tolerant zeroing neural network.
Neural Comput. Appl., 2022
Knowl. Inf. Syst., 2022
Discrete-time noise-tolerant Z-type model for online solving nonlinear time-varying equations in the presence of noises.
J. Comput. Appl. Math., 2022
Neurocomputing, 2022
Gradient-Based Differential $k\text{WTA}$ Network With Application to Competitive Coordination of Multiple Robots.
IEEE CAA J. Autom. Sinica, 2022
Modeling and Analysis of Matthew Effect Under Switching Social Networks via Distributed Competition.
IEEE CAA J. Autom. Sinica, 2022
Neural Dynamics for Distributed Collaborative Control of Manipulators With Time Delays.
IEEE CAA J. Autom. Sinica, 2022
Noise-suppressing zeroing neural network for online solving time-varying matrix square roots problems: A control-theoretic approach.
Expert Syst. Appl., 2022
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
A Noise-Enduring and Finite-Time Zeroing Neural Network for Equality-Constrained Time-Varying Nonlinear Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2021
New Noise-Tolerant Neural Algorithms for Future Dynamic Nonlinear Optimization With Estimation on Hessian Matrix Inversion.
IEEE Trans. Syst. Man Cybern. Syst., 2021
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., 2021
A Strictly Predefined-Time Convergent Neural Solution to Equality- and Inequality-Constrained Time-Variant Quadratic Programming.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Modified Newton Integration Neural Algorithm for Dynamic Complex-Valued Matrix Pseudoinversion Applied to Mobile Object Localization.
IEEE Trans. Ind. Informatics, 2021
IEEE Trans. Ind. Electron., 2021
Saturation-Allowed Neural Dynamics Applied to Perturbed Time-Dependent System of Linear Equations and Robots.
IEEE Trans. Ind. Electron., 2021
A Data-Driven Cyclic-Motion Generation Scheme for Kinematic Control of Redundant Manipulators.
IEEE Trans. Control. Syst. Technol., 2021
Modified Newton integration algorithm with noise suppression for online dynamic nonlinear optimization.
Numer. Algorithms, 2021
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., 2021
J. Electronic Imaging, 2021
A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems.
Inf. Sci., 2021
Accelerated convergent zeroing neurodynamics models for solving multi-linear systems with M-tensors.
Neurocomputing, 2021
Noise-tolerant neural algorithm for online solving Yang-Baxter-type matrix equation in the presence of noises: A control-based method.
Neurocomputing, 2021
Multi-robot competitive tracking based on <i>k</i>-WTA neural network with one single neuron.
Neurocomputing, 2021
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., 2021
Residual-Based Adaptive Coefficient and Noise-Immunity ZNN for Perturbed Time-Dependent Quadratic Minimization.
CoRR, 2021
Design and analysis of recurrent neural network models with non-linear activation functions for solving time-varying quadratic programming problems.
CAAI Trans. Intell. Technol., 2021
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., 2021
Appl. Soft Comput., 2021
Noise-tolerant gradient-oriented neurodynamic model for solving the Sylvester equation.
Appl. Soft Comput., 2021
A novel adaptive iterative learning control approach and human-in-the-loop control pattern for lower limb rehabilitation robot in disturbances environment.
Auton. Robots, 2021
Appl. Math. Comput., 2021
Form-finding of Tensegrity Structures Utilizing a Nonlinear Fletcher-Reeves Conjugate Gradient Method.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
2020
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., 2020
RNN for Perturbed Manipulability Optimization of Manipulators Based on a Distributed Scheme: A Game-Theoretic Perspective.
IEEE Trans. Neural Networks Learn. Syst., 2020
Complex-Valued Discrete-Time Neural Dynamics for Perturbed Time-Dependent Complex Quadratic Programming With Applications.
IEEE Trans. Neural Networks Learn. Syst., 2020
Discrete Computational Neural Dynamics Models for Solving Time-Dependent Sylvester Equation With Applications to Robotics and MIMO Systems.
IEEE Trans. Ind. Informatics, 2020
RNN for Solving Time-Variant Generalized Sylvester Equation With Applications to Robots and Acoustic Source Localization.
IEEE Trans. Ind. Informatics, 2020
Noise-suppressing zeroing neural network for online solving time-varying nonlinear optimization problem: a control-based approach.
Neural Comput. Appl., 2020
Proposing, developing and verification of a novel discrete-time zeroing neural network for solving future augmented Sylvester matrix equation.
J. Frankl. Inst., 2020
A parallel computing method based on zeroing neural networks for time-varying complex-valued matrix Moore-Penrose inversion.
Inf. Sci., 2020
Two neural dynamics approaches for computing system of time-varying nonlinear equations.
Neurocomputing, 2020
Noise-tolerant neural algorithm for online solving time-varying full-rank matrix Moore-Penrose inverse problems: A control-theoretic approach.
Neurocomputing, 2020
Modified gradient neural networks for solving the time-varying Sylvester equation with adaptive coefficients and elimination of matrix inversion.
Neurocomputing, 2020
Noise-tolerant Z-type neural dynamics for online solving time-varying inverse square root problems: A control-based approach.
Neurocomputing, 2020
A Gradient-Based Recurrent Neural Network for Visual Servoing of Robot Manipulators with Acceleration Command.
Complex., 2020
Two DTZNN Models of O(τ<sup>4</sup>) Pattern for Online Solving Dynamic System of Linear Equations: Application to Manipulator Motion Generation.
IEEE Access, 2020
IEEE Access, 2020
Convolutional Neural Network Based on Complex Networks for Brain Tumor Image Classification With a Modified Activation Function.
IEEE Access, 2020
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
A Recommender Algorithm: Gradient Recurrent Neural Network Applied to Yang-Baxter-Like Equation.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
2019
New Zeroing Neural Network Models for Solving Nonstationary Sylvester Equation With Verifications on Mobile Manipulators.
IEEE Trans. Ind. Informatics, 2019
On Generalized RMP Scheme for Redundant Robot Manipulators Aided With Dynamic Neural Networks and Nonconvex Bound Constraints.
IEEE Trans. Ind. Informatics, 2019
RNN for Solving Perturbed Time-Varying Underdetermined Linear System With Double Bound Limits on Residual Errors and State Variables.
IEEE Trans. Ind. Informatics, 2019
A Noise-Suppressing Neural Algorithm for Solving the Time-Varying System of Linear Equations: A Control-Based Approach.
IEEE Trans. Ind. Informatics, 2019
Inf. Process. Lett., 2019
Different modified zeroing neural dynamics with inherent tolerance to noises for time-varying reciprocal problems: A control-theoretic approach.
Neurocomputing, 2019
Modified single-output Chebyshev-polynomial feedforward neural network aided with subset method for classification of breast cancer.
Neurocomputing, 2019
Dynamic task allocation in multi-robot coordination for moving target tracking: A distributed approach.
Autom., 2019
Appl. Soft Comput., 2019
Modified Weights-and-Structure-Determination Neural Network for Pattern Classification of Flatfoot.
IEEE Access, 2019
On Modified Multi-Output Chebyshev-Polynomial Feed-Forward Neural Network for Pattern Classification of Wine Regions.
IEEE Access, 2019
Adaptive Zeroing-Gradient Controller for Ship Course Tracking With Near Singularity Considered and Zero Theoretical Tracking Error.
IEEE Access, 2019
Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection.
IEEE Access, 2019
Weight and Structure Determination Neural Network Aided With Double Pseudoinversion for Diagnosis of Flat Foot.
IEEE Access, 2019
Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019
2018
IEEE Trans. Syst. Man Cybern. Syst., 2018
Cooperative Motion Generation in a Distributed Network of Redundant Robot Manipulators With Noises.
IEEE Trans. Syst. Man Cybern. Syst., 2018
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, 2018
IEEE Trans. Ind. Informatics, 2018
IEEE Trans. Ind. Informatics, 2018
Neural network-based discrete-time Z-type model of high accuracy in noisy environments for solving dynamic system of linear equations.
Neural Comput. Appl., 2018
Dynamic neural networks aided distributed cooperative control of manipulators capable of different performance indices.
Neurocomputing, 2018
Complex., 2018
Nonconvex projection activated zeroing neurodynamic models for time-varying matrix pseudoinversion with accelerated finite-time convergence.
Appl. Soft Comput., 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
IEEE Trans. Ind. Electron., 2017
Noise-Tolerant ZNN Models for Solving Time-Varying Zero-Finding Problems: A Control-Theoretic Approach.
IEEE Trans. Autom. Control., 2017
Simultaneous learning and control of parallel Stewart platforms with unknown parameters.
Neurocomputing, 2017
Nonconvex function activated zeroing neural network models for dynamic quadratic programming subject to equality and inequality constraints.
Neurocomputing, 2017
A Velocity-Level Bi-Criteria Optimization Scheme for Coordinated Path Tracking of Dual Robot Manipulators Using Recurrent Neural Network.
Frontiers Neurorobotics, 2017
Different-Level Simultaneous Minimization Scheme for Fault Tolerance of Redundant Manipulator Aided with Discrete-Time Recurrent Neural Network.
Frontiers Neurorobotics, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Acceleration-level fault-tolerant scheme for redundant manipulator motion planning and control: Theoretics.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017
Proceedings of the IEEE International Conference on Information and Automation, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
Further Investigations on Noise-Tolerant Zeroing Neural Network for Time-Varying Quadratic Programming with Robotic Applications.
Proceedings of the International Conference on Algorithms, Computing and Systems, Jeju Island, Republic of Korea, August 10, 2017
2016
Taylor O(h<sup>3</sup>) Discretization of ZNN Models for Dynamic Equality-Constrained Quadratic Programming With Application to Manipulators.
IEEE Trans. Neural Networks Learn. Syst., 2016
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., 2016
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., 2016
Numer. Algorithms, 2016
Challenging simulation practice (failure and success) on implicit tracking control of double-integrator system via Zhang-gradient method.
Math. Comput. Simul., 2016
Enhanced discrete-time Zhang neural network for time-variant matrix inversion in the presence of bias noises.
Neurocomputing, 2016
Tracking control of modified Lorenz nonlinear system using ZG neural dynamics with additive input or mixed inputs.
Neurocomputing, 2016
GD-aided IOL (input-output linearisation) controller for handling affine-form nonlinear system with loose condition on relative degree.
Int. J. Control, 2016
CoRR, 2016
2015
Discrete-Time Zhang Neural Network for Online Time-Varying Nonlinear Optimization With Application to Manipulator Motion Generation.
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Trans. Cybern., 2015
Taylor-type 1-step-ahead numerical differentiation rule for first-order derivative approximation and ZNN discretization.
J. Comput. Appl. Math., 2015
Infinitely many Zhang functions resulting in various ZNN models for time-varying matrix inversion with link to Drazin inverse.
Inf. Process. Lett., 2015
2014
Discrete-time Zhang neural network of O(τ<sup>3</sup>) pattern for time-varying matrix pseudoinversion with application to manipulator motion generation.
Neurocomputing, 2014
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014
ZE in iZ1eD1 manner for MKE redundancy resolution at velocity and acceleration levels.
Proceedings of the 2nd International Conference on Systems and Informatics, 2014
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014
2013
ZG controllers for output tracking of nonlinear mass-spring-damper mechanical system with division-by-zero problem solved.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013
Different ZFs Leading to Various ZNN Models Illustrated via Online Solution of Time-Varying Underdetermined Systems of Linear Equations with Robotic Application.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013
Growing-type WASD for power-activation neuronet to model and forecast monthly time series.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013
Twice-Pruning Aided WASD Neuronet of Bernoulli-Polynomial Type with Extension to Robust Classification.
Proceedings of the IEEE 11th International Conference on Dependable, 2013
2012
Superior performance of using hyperbolic sine activation functions in ZNN illustrated via time-varying matrix square roots finding.
Comput. Sci. Inf. Syst., 2012
Three nonlinearly-activated discrete-Time ZNN models for time-varying matrix inversion.
Proceedings of the Eighth International Conference on Natural Computation, 2012
Zhang Fractals Yielded via Solving Time-Varying Nonlinear Complex Equations by Discrete-Time Complex-Valued ZD.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2012