Lin Xiao

According to our database1, Lin Xiao authored at least 79 papers between 2011 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

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

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

Nonlinear gradient neural network for solving system of linear equations.
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

A Complex Gradient Neural Dynamics for Fast Complex Matrix Inversion.
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

Novel Complex-Valued Neural Network for Dynamic Complex-Valued Matrix Inversion.
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
A New Performance Index for the Repetitive Motion of Mobile Manipulators.
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


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