Lin Xiao
According to our database^{1},
Lin Xiao
authored at least 79 papers
between 2011 and 2020.
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Bibliography
2020
New VaryingParameter ZNN Models With FiniteTime Convergence and Noise Suppression for TimeVarying Matrix MoorePenrose Inversion.
IEEE Trans. Neural Networks Learn. Syst., 2020
ComplexValued DiscreteTime Neural Dynamics for Perturbed TimeDependent Complex Quadratic Programming With Applications.
IEEE Trans. Neural Networks Learn. Syst., 2020
A NoiseTolerant Zeroing Neural Network for TimeDependent Complex Matrix Inversion Under Various Kinds of Noises.
IEEE Trans. Ind. Informatics, 2020
NoiseTolerant and FiniteTime Convergent ZNN Models for Dynamic Matrix MoorePenrose Inversion.
IEEE Trans. Ind. Informatics, 2020
Design and Analysis of New Zeroing Neural Network Models With Improved FiniteTime Convergence for TimeVarying Reciprocal of Complex Matrix.
IEEE Trans. Ind. Informatics, 2020
A FiniteTime Convergent and NoiseRejection Recurrent Neural Network and Its Discretization for Dynamic Nonlinear Equations Solving.
IEEE Trans. Cybern., 2020
Solving timevarying linear inequalities by finitetime convergent zeroing neural networks.
J. Frankl. Inst., 2020
Adaptive Coefficient Designs for Nonlinear Activation Function and Its Application to Zeroing Neural Network for Solving TimeVarying Sylvester Equation.
J. Frankl. Inst., 2020
Comprehensive design and analysis of timevarying delayed zeroing neural network and its application to matrix inversion.
Neurocomputing, 2020
Design and analysis of three nonlinearly activated ZNN models for solving timevarying linear matrix inequalities in finite time.
Neurocomputing, 2020
New error function designs for finitetime 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 timevarying Lyapunov equation and perturbed robotic tracking.
Neurocomputing, 2020
A Fully ComplexValued and Robust ZNN Model for Dynamic Complex Matrix Inversion Under External Noises.
IEEE Access, 2020
A Variable Parameter Zeroing Neural Network for Resolving TimeVariant Quadratic Minimization with Preferable Performance.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020
2019
Solving TimeVarying System of Nonlinear Equations by FiniteTime Recurrent Neural Networks With Application to Motion Tracking of Robot Manipulators.
IEEE Trans. Syst. Man Cybern. Syst., 2019
Computing TimeVarying Quadratic Optimization With FiniteTime 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 TimeVarying Underdetermined Linear System With Double Bound Limits on Residual Errors and State Variables.
IEEE Trans. Ind. Informatics, 2019
Discretetime noisetolerant Zhang neural network for dynamic matrix pseudoinversion.
Soft Comput., 2019
Improved Gradient Neural Networks for Solving MoorePenrose Inverse of FullRank Matrix.
Neural Process. Lett., 2019
A new noisetolerant and predefinedtime ZNN model for timedependent matrix inversion.
Neural Networks, 2019
A finitetime convergent Zhang neural network and its application to realtime matrix square root finding.
Neural Comput. Appl., 2019
Inf. Process. Lett., 2019
Improved Zhang neural network with finitetime convergence for timevarying linear system of equations solving.
Inf. Process. Lett., 2019
A robust and fixedtime zeroing neural dynamics for computing timevariant nonlinear equation using a novel nonlinear activation function.
Neurocomputing, 2019
A novel recurrent neural network and its finitetime solution to timevarying 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 predefinedtime convergence and improved noise tolerance for dynamic matrix square root finding.
Neurocomputing, 2019
FiniteTime Convergence and Robustness Analysis of Two Nonlinear Activated ZNN Models for TimeVarying Linear Matrix Equations.
IEEE Access, 2019
Robustness Analysis and Robotic Application of Combined Function Activated RNN for TimeVarying Matrix Pseudo Inversion.
IEEE Access, 2019
Design and Analysis of Two FTRNN Models With Application to TimeVarying Sylvester Equation.
IEEE Access, 2019
An Improved ComplexValued Recurrent Neural Network Model for TimeVarying ComplexValued 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 RealTime Solution of a Nonstationary Lyapunov Equation and Tracking Control of a Wheeled Mobile Manipulator.
IEEE Trans. Ind. Informatics, 2018
A New VaryingParameter Recurrent NeuralNetwork for Online Solution of TimeVarying Sylvester Equation.
IEEE Trans. Cybern., 2018
Nonlinear recurrent neural networks for finitetime solution of general timevarying 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 finitetime varyingparameter convergentdifferential neuralnetwork for solving nonlinear and nonconvex optimization problems.
Neurocomputing, 2018
A new recurrent neural network with noisetolerance and finitetime convergence for dynamic quadratic minimization.
Neurocomputing, 2018
Wsbp function activated Zhang dynamic with finitetime convergence applied to Lyapunov equation.
Neurocomputing, 2018
A New RNN Model With a Modified Nonlinear Activation Function Applied to ComplexValued 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 finitetime 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 finitetime convergence using a new design formula and its application to timevarying matrix square root.
J. Frankl. Inst., 2017
A finitetime convergent dynamic system for solving online simultaneous linear equations.
Int. J. Comput. Math., 2017
A VelocityLevel BiCriteria Optimization Scheme for Coordinated Path Tracking of Dual Robot Manipulators Using Recurrent Neural Network.
Frontiers Neurorobotics, 2017
DifferentLevel Simultaneous Minimization Scheme for Fault Tolerance of Redundant Manipulator Aided with DiscreteTime Recurrent Neural Network.
Frontiers Neurorobotics, 2017
An Improved Recurrent Neural Network for ComplexValued 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 ArctanActivated 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 timevarying matrix inversion.
Theor. Comput. Sci., 2016
J. Adv. Comput. Intell. Intell. Informatics, 2016
Dynamic design, numerical solution and effective verification of accelerationlevel obstacleavoidance scheme for robot manipulators.
Int. J. Syst. Sci., 2016
A convergenceaccelerated Zhang neural network and its solution application to Lyapunov equation.
Neurocomputing, 2016
A nonlinearly activated neural dynamics and its finitetime solution to timevarying nonlinear equation.
Neurocomputing, 2016
Performance analyses of recurrent neural network models exploited for online timevarying nonlinear optimization.
Comput. Sci. Inf. Syst., 2016
A nonlinearlyactivated neurodynamic model and its finitetime solution to equalityconstrained quadratic optimization with nonstationary coefficients.
Appl. Soft Comput., 2016
2015
Finitetime solution to nonlinear equation using recurrent neural dynamics with a speciallyconstructed activation function.
Neurocomputing, 2015
A finitetime convergent neural dynamics for online solution of timevarying linear complex matrix equation.
Neurocomputing, 2015
A Fully ComplexValued Neural Network for Rapid Solution of ComplexValued Systems of Linear Equations.
Proceedings of the Advances in Neural Networks  ISNN 2015, 2015
2014
IEEE Trans. Cybern., 2014
Crossvalidation based weights and structure determination of Chebyshevpolynomial neural networks for pattern classification.
Pattern Recognit., 2014
From Different Zhang Functions to Various ZNN Models Accelerated to FiniteTime Convergence for TimeVarying Linear Matrix Equation.
Neural Process. Lett., 2014
2013
AccelerationLevel Repetitive Motion Planning and Its Experimental Verification on a SixLink Planar Robot Manipulator.
IEEE Trans. Control. Syst. Technol., 2013
Presentation, error analysis and numerical experiments on a group of 1stepahead numerical differentiation formulas.
J. Comput. Appl. Math., 2013
Different Zhang functions resulting in different ZNN models demonstrated via timevarying linear matrixvector inequalities solving.
Neurocomputing, 2013
Solving timevarying nonlinear inequalities using continuous and discretetime 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 TimeVarying Nonlinear Inequalities.
IEEE Trans. Circuits Syst. I Regul. Pap., 2012
Convergence and stability results of Zhang neural network solving systems of timevarying nonlinear equations.
Proceedings of the Eighth International Conference on Natural Computation, 2012
Three nonlinearlyactivated discreteTime ZNN models for timevarying matrix inversion.
Proceedings of the Eighth International Conference on Natural Computation, 2012
Weights and structure determination of pruningwhilegrowing type for 3input poweractivation feedforward neuronet.
Proceedings of the 2012 IEEE International Conference on Automation and Logistics, 2012
Zhang Fractals Yielded via Solving TimeVarying Nonlinear Complex Equations by DiscreteTime ComplexValued ZD.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2012
2011
Zhang Neural Network Versus Gradient Neural Network for Solving TimeVarying Linear Inequalities.
IEEE Trans. Neural Networks, 2011
Continuous and discrete time Zhang dynamics for timevarying <i>4</i>th root finding.
Numer. Algorithms, 2011
Realtime joystick control and experiments of redundant manipulators using cosinebased velocity mapping.
Proceedings of the IEEE International Conference on Automation and Logistics, 2011
On the LVIbased numerical method (E47 algorithm) for solving quadratic programming problems.
Proceedings of the IEEE International Conference on Automation and Logistics, 2011