Lin Xiao
Orcid: 0000-0003-3172-3490Affiliations:
- Hunan University, College of Information Science and Engineering, China
- Jishou University, College of Information Science and Engineering, China
- Sun Yat-Sen University, Guangdong, China (PhD 2014)
According to our database1,
Lin Xiao
authored at least 142 papers
between 2011 and 2024.
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Bibliography
2024
Predefined-Time Noise Immunity ZNN Model for Dynamic Quaternion Least Squares Problem and Application to Synchronization of Hyperchaotic Systems.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
Design and Analysis of a Novel Distributed Gradient Neural Network for Solving Consensus Problems in a Predefined Time.
IEEE Trans. Neural Networks Learn. Syst., March, 2024
A New Predefined Time Zeroing Neural Network With Drop Conservatism for Matrix Flows Inversion and Its Application.
IEEE Trans. Cybern., February, 2024
2023
ZNNs With a Varying-Parameter Design Formula for Dynamic Sylvester Quaternion Matrix Equation.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Intensive Noise-Tolerant Zeroing Neural Network Based on a Novel Fuzzy Control Approach.
IEEE Trans. Fuzzy Syst., December, 2023
Zeroing Neural Network Based on Neutrosophic Logic for Calculating Minimal-Norm Least-Squares Solutions to Time-Varying Linear Systems.
Neural Process. Lett., December, 2023
A Fuzzy Adaptive Zeroing Neural Network Model With Event-Triggered Control for Time-Varying Matrix Inversion.
IEEE Trans. Fuzzy Syst., November, 2023
A ZNN-based sliding mode control strategy for solving synchronization problems of chaotic systems with application in memristor oscillator.
J. Frankl. Inst., November, 2023
Design, analysis, and application of fixed-time convergence fuzzy ZNN model realized by dynamic fuzzy logic system for time-varying Sylvester equation.
Neurocomputing, November, 2023
Design and Analysis of a Self-Adaptive Zeroing Neural Network for Solving Time-Varying Quadratic Programming.
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Fixed-time convergence integral-enhanced ZNN for calculating complex-valued flow matrix Drazin inverse.
J. Frankl. Inst., September, 2023
J. Frankl. Inst., September, 2023
A new class of robust and predefined-time consensus protocol based on noise-tolerant ZNN models.
Appl. Soft Comput., September, 2023
Finite-time zeroing neural networks with novel activation function and variable parameter for solving time-varying Lyapunov tensor equation.
Appl. Math. Comput., September, 2023
Design and Analysis of Two Nonlinear ZNN Models for Matrix LR and QR Factorization With Application to 3-D Moving Target Location.
IEEE Trans. Ind. Informatics, June, 2023
A Segmented Variable-Parameter ZNN for Dynamic Quadratic Minimization With Improved Convergence and Robustness.
IEEE Trans. Neural Networks Learn. Syst., May, 2023
A predefined-time and anti-noise varying-parameter ZNN model for solving time-varying complex Stein equations.
Neurocomputing, March, 2023
Anti-interference Zeroing Neural Network Model for Time-Varying Tensor Square Root Finding.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
2022
An intelligent fuzzy robustness ZNN model with fixed-time convergence for time-variant Stein matrix equation.
Int. J. Intell. Syst., December, 2022
On Generalized Zeroing Neural Network Under Discrete and Distributed Time Delays and Its Application to Dynamic Lyapunov Equation.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Adams-Bashforth-Type Discrete-Time Zeroing Neural Networks Solving Time-Varying Complex Sylvester Equation With Enhanced Robustness.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Robust Finite-Time Zeroing Neural Networks With Fixed and Varying Parameters for Solving Dynamic Generalized Lyapunov Equation.
IEEE Trans. Neural Networks Learn. Syst., 2022
Performance Analysis and Applications of Finite-Time ZNN Models With Constant/Fuzzy Parameters for TVQPEI.
IEEE Trans. Neural Networks Learn. Syst., 2022
A Variable-Parameter Noise-Tolerant Zeroing Neural Network for Time-Variant Matrix Inversion With Guaranteed Robustness.
IEEE Trans. Neural Networks Learn. Syst., 2022
An Arctan-Type Varying-Parameter ZNN for Solving Time-Varying Complex Sylvester Equations in Finite Time.
IEEE Trans. Ind. Informatics, 2022
IEEE Trans. Ind. Informatics, 2022
Finite-Time Solution of Time-Varying Tensor Inversion by a Novel Dynamic-Parameter Zeroing Neural-Network.
IEEE Trans. Ind. Informatics, 2022
ZNN With Fuzzy Adaptive Activation Functions and Its Application to Time-Varying Linear Matrix Equation.
IEEE Trans. Ind. Informatics, 2022
Zeroing Neural Network for Time-Varying Linear Equations With Application to Dynamic Positioning.
IEEE Trans. Ind. Informatics, 2022
Design and Analysis of a Hybrid GNN-ZNN Model With a Fuzzy Adaptive Factor for Matrix Inversion.
IEEE Trans. Ind. Informatics, 2022
Design and Analysis of a Noise-Resistant ZNN Model for Settling Time-Variant Linear Matrix Inequality in Predefined-Time.
IEEE Trans. Ind. Informatics, 2022
Zeroing Neural Network With Fuzzy Parameter for Computing Pseudoinverse of Arbitrary Matrix.
IEEE Trans. Fuzzy Syst., 2022
Application of Two Fuzzy Logic Systems to Complex-Type ZNN Models for the Drazin Inverse of Time-Dependent Complex-Value Matrix.
IEEE Trans. Fuzzy Syst., 2022
Design and Analysis of a Novel Integral Design Scheme for Finding Finite-Time Solution of Time-Varying Matrix Inequalities.
IEEE Trans. Emerg. Top. Comput., 2022
A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations.
Knowl. Based Syst., 2022
Super finite-Time variable parameter ZNN models for time-Variant linear matrix inequality.
J. Frankl. Inst., 2022
Neurocomputing, 2022
A novel ZNN model for fast synchronisation of chaos systems with external disturbances.
Neurocomputing, 2022
Two discrete ZNN models for solving time-varying augmented complex Sylvester equation.
Neurocomputing, 2022
A parameter-changing zeroing neural network for solving linear equations with superior fixed-time convergence.
Expert Syst. Appl., 2022
A variable-parameter ZNN with predefined-time convergence for dynamic complex-valued Lyapunov equation and its application to AOA positioning.
Appl. Soft Comput., 2022
Improved finite-time solutions to time-varying Sylvester tensor equation via zeroing neural networks.
Appl. Math. Comput., 2022
2021
New Noise-Tolerant ZNN Models With Predefined-Time Convergence for Time-Variant Sylvester Equation Solving.
IEEE Trans. Syst. Man Cybern. Syst., 2021
A Noise-Enduring and Finite-Time Zeroing Neural Network for Equality-Constrained Time-Varying Nonlinear Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2021
Design and Analysis of Two Prescribed-Time and Robust ZNN Models With Application to Time-Variant Stein Matrix Equation.
IEEE Trans. Neural Networks Learn. Syst., 2021
Comprehensive Analysis of a New Varying Parameter Zeroing Neural Network for Time Varying Matrix Inversion.
IEEE Trans. Ind. Informatics, 2021
A Parameter-Changing and Complex-Valued Zeroing Neural-Network for Finding Solution of Time-Varying Complex Linear Matrix Equations in Finite Time.
IEEE Trans. Ind. Informatics, 2021
A Noise-Suppression ZNN Model With New Variable Parameter for Dynamic Sylvester Equation.
IEEE Trans. Ind. Informatics, 2021
Finite-Time and Predefined-Time Convergence Design for Zeroing Neural Network: Theorem, Method, and Verification.
IEEE Trans. Ind. Informatics, 2021
A Unified Predefined-Time Convergent and Robust ZNN Model for Constrained Quadratic Programming.
IEEE Trans. Ind. Informatics, 2021
IEEE Trans. Ind. Electron., 2021
Design and Application of an Adaptive Fuzzy Control Strategy to Zeroing Neural Network for Solving Time-Variant QP Problem.
IEEE Trans. Fuzzy Syst., 2021
A Novel Fuzzy-Power Zeroing Neural Network Model for Time-Variant Matrix Moore-Penrose Inversion With Guaranteed Performance.
IEEE Trans. Fuzzy Syst., 2021
An accelerated ZNN-based algorithm with piecewise time-varying parameters to solve time-variant linear equations.
J. Comput. Appl. Math., 2021
Inf. Sci., 2021
Comprehensive study on complex-valued ZNN models activated by novel nonlinear functions for dynamic complex linear equations.
Inf. Sci., 2021
Design and analysis of a noise-suppression zeroing neural network approach for robust synchronization of chaotic systems.
Neurocomputing, 2021
Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation.
IEEE Intell. Syst., 2021
Performance analysis of nonlinear activated zeroing neural networks for time-varying matrix pseudoinversion with application.
Appl. Soft Comput., 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
Design and Comprehensive Analysis of a Noise-Tolerant ZNN Model With Limited-Time Convergence for Time-Dependent Nonlinear Minimization.
IEEE Trans. Neural Networks Learn. Syst., 2020
New Varying-Parameter ZNN Models With Finite-Time Convergence and Noise Suppression for Time-Varying Matrix Moore-Penrose Inversion.
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
A Noise-Tolerant Zeroing Neural Network for Time-Dependent Complex Matrix Inversion Under Various Kinds of Noises.
IEEE Trans. Ind. Informatics, 2020
Noise-Tolerant and Finite-Time Convergent ZNN Models for Dynamic Matrix Moore-Penrose Inversion.
IEEE Trans. Ind. Informatics, 2020
Design and Analysis of New Zeroing Neural Network Models With Improved Finite-Time Convergence for Time-Varying Reciprocal of Complex Matrix.
IEEE Trans. Ind. Informatics, 2020
A Finite-Time Convergent and Noise-Rejection Recurrent Neural Network and Its Discretization for Dynamic Nonlinear Equations Solving.
IEEE Trans. Cybern., 2020
Improved finite-time zeroing neural networks for time-varying complex Sylvester equation solving.
Math. Comput. Simul., 2020
Solving time-varying linear inequalities by finite-time convergent zeroing neural networks.
J. Frankl. Inst., 2020
Adaptive Coefficient Designs for Nonlinear Activation Function and Its Application to Zeroing Neural Network for Solving Time-Varying Sylvester Equation.
J. Frankl. Inst., 2020
Comprehensive design and analysis of time-varying delayed zeroing neural network and its application to matrix inversion.
Neurocomputing, 2020
Design and analysis of three nonlinearly activated ZNN models for solving time-varying linear matrix inequalities in finite time.
Neurocomputing, 2020
New error function designs for finite-time ZNN models with application to dynamic matrix inversion.
Neurocomputing, 2020
Design and Application of A Robust Zeroing Neural Network to Kinematical Resolution of Redundant Manipulators Under Various External Disturbances.
Neurocomputing, 2020
Zeroing neural network with comprehensive performance and its applications to time-varying Lyapunov equation and perturbed robotic tracking.
Neurocomputing, 2020
Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation.
CoRR, 2020
A Fully Complex-Valued and Robust ZNN Model for Dynamic Complex Matrix Inversion Under External Noises.
IEEE Access, 2020
A Variable Parameter Zeroing Neural Network for Resolving Time-Variant Quadratic Minimization with Preferable Performance.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020
2019
Solving Time-Varying System of Nonlinear Equations by Finite-Time Recurrent Neural Networks With Application to Motion Tracking of Robot Manipulators.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Computing Time-Varying Quadratic Optimization With Finite-Time Convergence and Noise Tolerance: A Unified Framework for Zeroing Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2019
Performance Benefits of Robust Nonlinear Zeroing Neural Network for Finding Accurate Solution of Lyapunov Equation in Presence of Various Noises.
IEEE Trans. Ind. Informatics, 2019
Zeroing Neural Dynamics for Control Design: Comprehensive Analysis on Stability, Robustness, and Convergence Speed.
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
Discrete-time noise-tolerant Zhang neural network for dynamic matrix pseudoinversion.
Soft Comput., 2019
Improved Gradient Neural Networks for Solving Moore-Penrose Inverse of Full-Rank Matrix.
Neural Process. Lett., 2019
A new noise-tolerant and predefined-time ZNN model for time-dependent matrix inversion.
Neural Networks, 2019
A finite-time convergent Zhang neural network and its application to real-time matrix square root finding.
Neural Comput. Appl., 2019
Inf. Process. Lett., 2019
Improved Zhang neural network with finite-time convergence for time-varying linear system of equations solving.
Inf. Process. Lett., 2019
A robust and fixed-time zeroing neural dynamics for computing time-variant nonlinear equation using a novel nonlinear activation function.
Neurocomputing, 2019
A novel recurrent neural network and its finite-time solution to time-varying complex matrix inversion.
Neurocomputing, 2019
Design and analysis of new complex zeroing neural network for a set of dynamic complex linear equations.
Neurocomputing, 2019
A recurrent neural network with predefined-time convergence and improved noise tolerance for dynamic matrix square root finding.
Neurocomputing, 2019
Finite-Time Convergence and Robustness Analysis of Two Nonlinear Activated ZNN Models for Time-Varying Linear Matrix Equations.
IEEE Access, 2019
Robustness Analysis and Robotic Application of Combined Function Activated RNN for Time-Varying Matrix Pseudo Inversion.
IEEE Access, 2019
Design and Analysis of Two FTRNN Models With Application to Time-Varying Sylvester Equation.
IEEE Access, 2019
An Improved Complex-Valued Recurrent Neural Network Model for Time-Varying Complex-Valued Sylvester Equation.
IEEE Access, 2019
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
A New Varying-Parameter Recurrent Neural-Network for Online Solution of Time-Varying Sylvester Equation.
IEEE Trans. Cybern., 2018
Nonlinear recurrent neural networks for finite-time solution of general time-varying linear matrix equations.
Neural Networks, 2018
Design, verification and robotic application of a novel recurrent neural network for computing dynamic Sylvester equation.
Neural Networks, 2018
A new finite-time varying-parameter convergent-differential neural-network for solving nonlinear and nonconvex optimization problems.
Neurocomputing, 2018
A new recurrent neural network with noise-tolerance and finite-time convergence for dynamic quadratic minimization.
Neurocomputing, 2018
Wsbp function activated Zhang dynamic with finite-time convergence applied to Lyapunov equation.
Neurocomputing, 2018
A New RNN Model With a Modified Nonlinear Activation Function Applied to Complex-Valued Linear Equations.
IEEE Access, 2018
CNN and PCA Based Visual System of A Wheelchair Manipulator Robot for Automatic Drinking.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018
Solving quadratic minimization problem by finite-time recurrent neural network using two different nonlinear activation functions.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018
2017
Accelerating a recurrent neural network to finite-time convergence using a new design formula and its application to time-varying matrix square root.
J. Frankl. Inst., 2017
A finite-time convergent dynamic system for solving online simultaneous linear equations.
Int. J. Comput. Math., 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
An Improved Recurrent Neural Network for Complex-Valued Systems of Linear Equation and Its Application to Robotic Motion Tracking.
Frontiers Neurorobotics, 2017
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
An Arctan-Activated WASD Neural Network Approach to the Prediction of Dow Jones Industrial Average.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
2016
A new design formula exploited for accelerating Zhang neural network and its application to time-varying matrix inversion.
Theor. Comput. Sci., 2016
J. Adv. Comput. Intell. Intell. Informatics, 2016
Dynamic design, numerical solution and effective verification of acceleration-level obstacle-avoidance scheme for robot manipulators.
Int. J. Syst. Sci., 2016
A convergence-accelerated Zhang neural network and its solution application to Lyapunov equation.
Neurocomputing, 2016
A nonlinearly activated neural dynamics and its finite-time solution to time-varying nonlinear equation.
Neurocomputing, 2016
Performance analyses of recurrent neural network models exploited for online time-varying nonlinear optimization.
Comput. Sci. Inf. Syst., 2016
A nonlinearly-activated neurodynamic model and its finite-time solution to equality-constrained quadratic optimization with nonstationary coefficients.
Appl. Soft Comput., 2016
2015
Finite-time solution to nonlinear equation using recurrent neural dynamics with a specially-constructed activation function.
Neurocomputing, 2015
A finite-time convergent neural dynamics for online solution of time-varying linear complex matrix equation.
Neurocomputing, 2015
A Fully Complex-Valued Neural Network for Rapid Solution of Complex-Valued Systems of Linear Equations.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015
2014
IEEE Trans. Cybern., 2014
Cross-validation based weights and structure determination of Chebyshev-polynomial neural networks for pattern classification.
Pattern Recognit., 2014
From Different Zhang Functions to Various ZNN Models Accelerated to Finite-Time Convergence for Time-Varying Linear Matrix Equation.
Neural Process. Lett., 2014
2013
Acceleration-Level Repetitive Motion Planning and Its Experimental Verification on a Six-Link Planar Robot Manipulator.
IEEE Trans. Control. Syst. Technol., 2013
Presentation, error analysis and numerical experiments on a group of 1-step-ahead numerical differentiation formulas.
J. Comput. Appl. Math., 2013
Different Zhang functions resulting in different ZNN models demonstrated via time-varying linear matrix-vector inequalities solving.
Neurocomputing, 2013
Solving time-varying nonlinear inequalities using continuous and discrete-time Zhang dynamics.
Int. J. Comput. Math., 2013
Minimum movement scheme with wheels and joints coordinated simultaneously for mobile redundant manipulator.
Proceedings of the IEEE International Conference on Information and Automation, 2013
2012
Two New Types of Zhang Neural Networks Solving Systems of Time-Varying Nonlinear Inequalities.
IEEE Trans. Circuits Syst. I Regul. Pap., 2012
Convergence and stability results of Zhang neural network solving systems of time-varying nonlinear equations.
Proceedings of the Eighth International Conference on Natural Computation, 2012
Three nonlinearly-activated discrete-Time ZNN models for time-varying matrix inversion.
Proceedings of the Eighth International Conference on Natural Computation, 2012
Weights and structure determination of pruning-while-growing type for 3-input power-activation feed-forward neuronet.
Proceedings of the 2012 IEEE International Conference on Automation and Logistics, 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
2011
Zhang Neural Network Versus Gradient Neural Network for Solving Time-Varying Linear Inequalities.
IEEE Trans. Neural Networks, 2011
Continuous and discrete time Zhang dynamics for time-varying <i>4</i>th root finding.
Numer. Algorithms, 2011
Real-time joystick control and experiments of redundant manipulators using cosine-based velocity mapping.
Proceedings of the IEEE International Conference on Automation and Logistics, 2011
On the LVI-based numerical method (E47 algorithm) for solving quadratic programming problems.
Proceedings of the IEEE International Conference on Automation and Logistics, 2011