Yunong Zhang

Orcid: 0000-0002-2228-0395

Affiliations:
  • Sun Yat Sen University
  • National University of Ireland
  • University of Strathclyde


According to our database1, Yunong Zhang authored at least 352 papers between 2001 and 2024.

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

Timeline

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Bibliography

2024
Adaptive Error-Related Zeroing Neurodynamics Models for Handling Temporally-Varying System of Linear Equation and Inequation With Applications.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

Adaptive ZNN Model and Solvers for Tackling Temporally Variant Quadratic Program With Applications.
IEEE Trans. Ind. Informatics, November, 2024

Solving Future Nonlinear Equation System via ZNN and Novel General ILR3S Formula With Multitype Manipulator Applications.
IEEE Trans. Ind. Electron., October, 2024

Eleven-Point Gradient-Zhang Dynamics Algorithm for Time-Dependent Nonlinear Equality-Constraint Programming and Manipulator Application.
IEEE Trans Autom. Sci. Eng., October, 2024

ZNN Continuous Model and Discrete Algorithm for Temporally Variant Optimization With Nonlinear Equation Constraints via Novel TD Formula.
IEEE Trans. Syst. Man Cybern. Syst., July, 2024

Low-Computational-Complexity Zeroing Neural Network Model for Solving Systems of Dynamic Nonlinear Equations.
IEEE Trans. Autom. Control., July, 2024

Inverse-Free DZNN Models for Solving Time-Dependent Linear System via High-Precision Linear Six-Step Method.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Zeroing Neural Network With Coefficient Functions and Adjustable Parameters for Solving Time-Variant Sylvester Equation.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Design and Analysis of Reciprocal Zhang Neuronet Handling Temporally-Variant Linear Matrix-Vector Equations Applied to Mobile Localization.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

ELSS-DZN and ELSS-IFDHGZN Algorithms Solving Future Quadratic Programming Applied to Robot Manipulator.
IEEE Trans. Syst. Man Cybern. Syst., 2024

Inverse-free zeroing neural network for time-variant nonlinear optimization with manipulator applications.
Neural Networks, 2024

HD-LJP: A Hierarchical Dependency-based Legal Judgment Prediction Framework for Multi-task Learning.
Knowl. Based Syst., 2024

Loc4Plan: Locating Before Planning for Outdoor Vision and Language Navigation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Simplified GZN (Gradient-Zhang Neurodynamic) Continuous-Model and Discrete-Algorithms Handling Temporally-Varying ODLMVE (Over-Determined Linear Matrix-Vector Equation).
Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

Simplified Gradient-Zeroing Neuronet for Temporally-Variant Convex Objective Function Minimization.
Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

Zhang Extrapolation Formulas From Two Points Applied to Years 1944 and 1971 With 2025, 2052, 2079, and 2106 Predicted.
Proceedings of the 16th International Conference on Advanced Computational Intelligence, 2024

Derivation and Numerics of Integral-aided Denoising Zhang Time Derivativers.
Proceedings of the 16th International Conference on Advanced Computational Intelligence, 2024

Uniform-Distribution (UD) Based Time Intervals of GRC (Global Reserve Currency) Transition Year Predicted Narrowly as [2024, 2040] and Generally [2k00, 2k50].
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023
Continuous and discrete gradient-Zhang neuronet (GZN) with analyses for time-variant overdetermined linear equation system solving as well as mobile localization applications.
Neurocomputing, December, 2023

Discrete gradient-zeroing neural network algorithms for handling future quadratic program as well as robot arm via ten-instant formula.
J. Frankl. Inst., November, 2023

Gradient-Feedback Zhang Neural Network for Unconstrained Time-Variant Convex Optimization and Robot Manipulator Application.
IEEE Trans. Ind. Informatics, October, 2023

Discrete gradient-zeroing neural dynamics for future Moore-Penrose inverse with application to tracking control of manipulator.
Expert Syst. Appl., October, 2023

Novel adaptive zeroing neural dynamics schemes for temporally-varying linear equation handling applied to arm path following and target motion positioning.
Neural Networks, August, 2023

Jerk-Level Zhang Neurodynamics Equivalency of Bound Constraints, Equation Constraints, and Objective Indices for Cyclic Motion of Robot-Arm Systems.
IEEE Trans. Neural Networks Learn. Syst., June, 2023

A Spatial Relation Model of Three-Dimensional Electronic Navigation Charts Based on Point-Set Topology Theory.
ISPRS Int. J. Geo Inf., June, 2023

Data-Driven Control for Continuum Robots Based on Discrete Zeroing Neural Networks.
IEEE Trans. Ind. Informatics, May, 2023

Joint semantic embedding with structural knowledge and entity description for knowledge representation learning.
Neural Comput. Appl., February, 2023

Manifold clustering optimized by adaptive aggregation strategy.
Knowl. Inf. Syst., January, 2023

Explicit Linear Left-and-Right 5-Step Formulas With Zeroing Neural Network for Time-Varying Applications.
IEEE Trans. Cybern., 2023

General ELLRFS-DAZN algorithm for solving future linear equation system under various noises.
Neurocomputing, 2023

Gradient-Zhang (GZ) Dynamics Coping with UDSTDLE (Under-Determined System of Temporally-Dependent Linear Equations).
Proceedings of the 9th International Conference on Systems and Informatics, 2023

WZ Algorithms from AS Kind to MD One Attempted to Predict Solar Minimum.
Proceedings of the 9th International Conference on Systems and Informatics, 2023

Beginning and Ending Years of Technological Revolutions Estimated by Tabular Pattern Calculations as well as Further Thinking.
Proceedings of the 9th International Conference on Systems and Informatics, 2023

Year and Confidence-Interval Prediction of Possible GRCT (Global Reserve Currency Transition) via Table Pattern Calculations (TPC) Method.
Proceedings of the 9th International Conference on Systems and Informatics, 2023

Theoretical Analysis of Gradient-Zhang Neural Network for Time-Varying Equations and Improved Method for Linear Equations.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Computer Simulations of Applying Zhang Inequation Equivalency and Solver of Neurodynamics to Redundant Manipulators at Acceleration Level.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Refined Self-Motion Scheme With Zero Initial Velocities and Time-Varying Physical Limits via Zhang Neurodynamics Equivalency.
Frontiers Neurorobotics, September, 2022

Unified Solution of Different-Kind Future Matrix Equations Using New Nine-Instant Discretization Formula and Zeroing Neural Dynamics.
IEEE Trans. Syst. Man Cybern. Syst., 2022

6-Step Discrete ZNN Model for Repetitive Motion Control of Redundant Manipulator.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Solving Complex-Valued Time-Varying Linear Matrix Equations via QR Decomposition With Applications to Robotic Motion Tracking and on Angle-of-Arrival Localization.
IEEE Trans. Neural Networks Learn. Syst., 2022

Concise Discrete ZNN Controllers for End-Effector Tracking and Obstacle Avoidance of Redundant Manipulators.
IEEE Trans. Ind. Informatics, 2022

7-Instant Discrete-Time Synthesis Model Solving Future Different-Level Linear Matrix System via Equivalency of Zeroing Neural Network.
IEEE Trans. Cybern., 2022

Discrete-Time Advanced Zeroing Neurodynamic Algorithm Applied to Future Equality-Constrained Nonlinear Optimization With Various Noises.
IEEE Trans. Cybern., 2022

General 9-instant discrete-time Zhang neural network for time-dependent applications.
J. Frankl. Inst., 2022

Discrete-time ZNN-based noise-handling ten-instant algorithm solving Yang-Baxter-like matrix equation with disturbances.
Neurocomputing, 2022

Discrete-time future nonlinear neural optimization with equality constraint based on ten-instant ZTD formula.
Neurocomputing, 2022

Research on Three-Dimensional Electronic Navigation Chart Hybrid Spatial Index Structure Based on Quadtree and R-Tree.
ISPRS Int. J. Geo Inf., 2022

2021
Stepsize Interval Confirmation of General Four-Step DTZN Algorithm Illustrated With Future Quadratic Programming and Tracking Control of Manipulators.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Inverse-Free Discrete ZNN Models Solving for Future Matrix Pseudoinverse via Combination of Extrapolation and ZeaD Formulas.
IEEE Trans. Neural Networks Learn. Syst., 2021

New Discretized Zeroing Neural Network Models for Solving Future System of Bounded Inequalities and Nonlinear Equations Aided With General Explicit Linear Four-Step Rule.
IEEE Trans. Ind. Informatics, 2021

Future Different-Layer Linear Equation and Bounded Inequality Solved by Combining Adams-Bashforth Methods With CZNN Model.
IEEE Trans. Ind. Electron., 2021

Continuous-Time Varying Complex QR Decomposition via Zeroing Neural Dynamics.
Neural Process. Lett., 2021

Continuous and discrete zeroing dynamics models using JMP function array and design formula for solving time-varying Sylvester-transpose matrix inequality.
Numer. Algorithms, 2021

Relationship between time-instant number and precision of ZeaD formulas with proofs.
Numer. Algorithms, 2021

Time-varying Schur decomposition via Zhang neural dynamics.
Neurocomputing, 2021

Posture coordination control of two-manipulator system using projection neural network.
Neurocomputing, 2021

Real-domain QR decomposition models employing zeroing neural network and time-discretization formulas for time-varying matrices.
Neurocomputing, 2021

General Ten-Instant DTDMSR Model for Dynamic Matrix Square Root Finding.
Cybern. Syst., 2021

Pose control of constrained redundant arm using recurrent neural networks and one-iteration computing algorithm.
Appl. Soft Comput., 2021

Gradient-Zhang Neural Dynamics Models Computing Pseudoinverses of Time-Varying Matrices via ZeaD and Extrapolation Formulas.
Proceedings of the International Joint Conference on Neural Networks, 2021

Abundant Computer and Robot Experiments Verifying Minimum Joint Motion Planning and Control of Redundant Arms via Zhang Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2021

Zhang Neural Network Model for Solving LQ Decomposition Problem of Dynamic Matrix With Application to Mobile Object Localization.
Proceedings of the International Joint Conference on Neural Networks, 2021

Numerical and Graphical Results of Germany Population Projection Using WASD Neuronet.
Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021

Zhang-Gradient Control, 3
Springer, ISBN: 978-981-15-8256-1, 2021

2020
New Discrete-Time Models of Zeroing Neural Network Solving Systems of Time-Variant Linear and Nonlinear Inequalities.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Continuous and Discrete Zeroing Neural Network for Different-Level Dynamic Linear System With Robot Manipulator Control.
IEEE Trans. Syst. Man Cybern. Syst., 2020

General 7-Instant DCZNN Model Solving Future Different-Level System of Nonlinear Inequality and Linear Equation.
IEEE Trans. Neural Networks Learn. Syst., 2020

An Optimized Angular Total Internal Reflection Sensor With High Resolution in Vanadium Flow Batteries.
IEEE Trans. Instrum. Meas., 2020

Adaptive Discrete ZND Models for Tracking Control of Redundant Manipulator.
IEEE Trans. Ind. Informatics, 2020

Solving Future Different-Layer Nonlinear and Linear Equation System Using New Eight-Node DZNN Model.
IEEE Trans. Ind. Informatics, 2020

Discrete-time formulation, control, solution and verification of pendulum systems with zeroing neural dynamics.
Theor. Comput. Sci., 2020

From mathematical equivalence such as Ma equivalence to generalized Zhang equivalency including gradient equivalency.
Theor. Comput. Sci., 2020

General and Improved Five-Step Discrete-Time Zeroing Neural Dynamics Solving Linear Time-Varying Matrix Equation with Unknown Transpose.
Neural Process. Lett., 2020

New zeroing neural dynamics models for diagonalization of symmetric matrix stream.
Numer. Algorithms, 2020

Continuous and discrete zeroing neural dynamics handling future unknown-transpose matrix inequality as well as scalar inequality of linear class.
Numer. Algorithms, 2020

Event-triggered zeroing dynamics for motion control of Stewart platform.
J. Frankl. Inst., 2020

Discrete-time zeroing neural network for solving time-varying Sylvester-transpose matrix inequation via exp-aided conversion.
Neurocomputing, 2020

Discrete ZNN models of Adams-Bashforth (AB) type solving various future problems with motion control of mobile manipulator.
Neurocomputing, 2020

Discrete-time nonlinear optimization via zeroing neural dynamics based on explicit linear multi-step methods for tracking control of robot manipulators.
Neurocomputing, 2020

Online singular value decomposition of time-varying matrix via zeroing neural dynamics.
Neurocomputing, 2020

Predictions of 2019-nCoV Transmission Ending via Comprehensive Methods.
CoRR, 2020

Predictions of USA Presidential Parties From 2021 to 2037 Using Historical Data Through Square Wave-Activated WASD Neural Network.
IEEE Access, 2020

GMDS-ZNN Model 3 and its Ten-Instant Discrete Algorithm for Time-Variant Matrix Inversion Compared With Other Multiple-Instant Ones.
IEEE Access, 2020

Solving Discrete Dynamic Nonlinear Equation System Using New-Type DTG Model With Occasionally-Singular Jacobian Matrix.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Explicit Linear Dual-Multistep Methods Applied to ZNN Illustrated via Discrete Time-Dependent Linear and Nonlinear Inequalities System Solving.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Peng-Type ZNN Model Attempted for Online Diagonalization of Time-Varying Symmetric Matrix.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

Zhang Neural Dynamics (ZND) Tracking Control of Multiple Integrator Systems with Noise Disturbances: Theoretical and Simulative Results.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019
Stepsize Range and Optimal Value for Taylor-Zhang Discretization Formula Applied to Zeroing Neurodynamics Illustrated via Future Equality-Constrained Quadratic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2019

General Square-Pattern Discretization Formulas via Second-Order Derivative Elimination for Zeroing Neural Network Illustrated by Future Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2019

New Discrete-Solution Model for Solving Future Different-Level Linear Inequality and Equality With Robot Manipulator Control.
IEEE Trans. Ind. Informatics, 2019

Two New Discrete-Time Neurodynamic Algorithms Applied to Online Future Matrix Inversion With Nonsingular or Sometimes-Singular Coefficient.
IEEE Trans. Cybern., 2019

Zhang Neural Dynamics Approximated by Backward Difference Rules in Form of Time-Delay Differential Equation.
Neural Process. Lett., 2019

Stepsize domain confirmation and optimum of ZeaD formula for future optimization.
Numer. Algorithms, 2019

New five-step DTZD algorithm for future nonlinear minimization with quartic steady-state error pattern.
Numer. Algorithms, 2019

A 5-instant finite difference formula to find discrete time-varying generalized matrix inverses, matrix inverses, and scalar reciprocals.
Numer. Algorithms, 2019

Solving future equation systems using integral-type error function and using twice ZNN formula with disturbances suppressed.
J. Frankl. Inst., 2019

General four-step discrete-time zeroing and derivative dynamics applied to time-varying nonlinear optimization.
J. Comput. Appl. Math., 2019

Step-width theoretics and numerics of four-point general DTZN model for future minimization using Jury stability criterion.
Neurocomputing, 2019

Five-instant type discrete-time ZND solving discrete time-varying linear system, division and quadratic programming.
Neurocomputing, 2019

Zeroing Neural Dynamics and Models for Various Time-Varying Problems Solving with ZLSF Models as Minimization-Type and Euler-Type Special Cases [Research Frontier].
IEEE Comput. Intell. Mag., 2019

New Models for Future Problems Solving by Using ZND Method, Correction Strategy and Extrapolation Formulas.
IEEE Access, 2019

Discrete-Time ZND Models Solving ALRMPC via Eight-Instant General and Other Formulas of ZeaD.
IEEE Access, 2019

Time-Varying Complex Zhang Matrix (ZM) with Its Pseudoinverse not Solvable Directly by Getz-Masden (GM) Dynamic System.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Noisy Zhang-Dynamics (ZD) Method for Genesio Chaotic (GC) System Synchronization: Elegant Analyses and Unequal-Parameter Extension.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Using EZDA Approach to Handle Original ZG Control Failure for TVNS Systems Output Tracking due to States Tending to Infinity.
Proceedings of the 6th International Conference on Systems and Informatics, 2019

New 5-Step Discrete-Time Zeroing Neuronet for Time-Dependent Matrix Square Root Finding.
Proceedings of the 6th International Conference on Systems and Informatics, 2019

Solving for Inverse-Like Dynamic Matrices of Variables and Derivatives Using Zhang Neural Dynamics (ZND) Equivalency.
Proceedings of the 6th International Conference on Systems and Informatics, 2019

Predicting Potential Years of Most Costly War Involving USA via ASF Approach.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

Future Linear Matrix Equation of Generalized Sylvester Type Solved by Zeroing Neural Dynamics and 5-Instant ZeaD Formula.
Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

2018
New Discrete-Time ZNN Models for Least-Squares Solution of Dynamic Linear Equation System With Time-Varying Rank-Deficient Coefficient.
IEEE Trans. Neural Networks Learn. Syst., 2018

Robust Zeroing Neural-Dynamics and Its Time-Varying Disturbances Suppression Model Applied to Mobile Robot Manipulators.
IEEE Trans. Neural Networks Learn. Syst., 2018

Proposing and Validation of a New Four-Point Finite-Difference Formula With Manipulator Application.
IEEE Trans. Ind. Informatics, 2018

New Discretization-Formula-Based Zeroing Dynamics for Real-Time Tracking Control of Serial and Parallel Manipulators.
IEEE Trans. Ind. Informatics, 2018

Tracking Control of Robot Manipulators with Unknown Models: A Jacobian-Matrix-Adaption Method.
IEEE Trans. Ind. Informatics, 2018

Discrete time-variant nonlinear optimization and system solving via integral-type error function and twice ZND formula with noises suppressed.
Soft Comput., 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

Z-type neural-dynamics for time-varying nonlinear optimization under a linear equality constraint with robot application.
J. Comput. Appl. Math., 2018

Three-step general discrete-time Zhang neural network design and application to time-variant matrix inversion.
Neurocomputing, 2018

Zeroing neural-dynamics approach and its robust and rapid solution for parallel robot manipulators against superposition of multiple disturbances.
Neurocomputing, 2018

Using Data Till 1996, 2008 and 2017 via Full-Traversal Addition-Subtraction Frequency (ASF) Method with Consistent Analysis to Predict Possible M6.6-or-Above Earthquakes in Sichuan-Yunnan Region of China.
Proceedings of the 2018 IEEE SmartWorld, 2018

From Historical Data through ASF Method of Equal-Type Half Traversal to Predict USA Presidential Parties from 2021 to 2041.
Proceedings of the 2018 IEEE SmartWorld, 2018

Simulation Verifications of ZND Control for Dynamics-Included Robot Systems Extended from One Link to Multiple Links.
Proceedings of the 2018 IEEE SmartWorld, 2018

Theoretical Analyses and Results of Taylor-Zhang Discretization Formula and ZeaD4Ig2_Y Formula Generating Discrete-Time Solutions of ODE Dynamic Systems.
Proceedings of the 2018 IEEE SmartWorld, 2018

Zhang Matrix Found as an Exception with its Time-Dependent Pseudoinverse Unsolvable by Getz-Masden Dynamic System.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

Exemplar Different-Level Quadratic Minimization, Division-by-Zero Issue, and Comparative Solutions.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

Any ZeaD Formula of Six Instants Having No Quartic or Higher Precision with Proof.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

Using Different Types of Addition-Subtraction Frequency (ASF) Approach with Different Numbers of Input Variables to Predict Years of Financial Events after Fed Tightening.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

GMDS-ZNN Variants Having Errors Proportional to Sampling Gap as Compared with Models 1 and 2 Having Higher Precision.
Proceedings of the 5th International Conference on Systems and Informatics, 2018

Rough Period Estimation And Peak Prediction Of Stock Market Based On Multiple Sine Functions Extraction.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

Discrete-Time Lu Chaotic Systems Synchronization with One ZND Controller Input and Zead Formulas.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

2017
From Davidenko Method to Zhang Dynamics for Nonlinear Equation Systems Solving.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Kinematic Control of Redundant Manipulators Using Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2017

A Hybrid Multi-Objective Scheme Applied to Redundant Robot Manipulators.
IEEE Trans Autom. Sci. Eng., 2017

Noise-Tolerant ZNN Models for Solving Time-Varying Zero-Finding Problems: A Control-Theoretic Approach.
IEEE Trans. Autom. Control., 2017

Signum-function array activated ZNN with easier circuit implementation and finite-time convergence for linear systems solving.
Inf. Process. Lett., 2017

Division by zero, pseudo-division by zero, Zhang dynamics method and Zhang-gradient method about control singularity conquering.
Int. J. Syst. Sci., 2017

Jerk-level synchronous repetitive motion scheme with gradient-type and zeroing-type dynamics algorithms applied to dual-arm redundant robot system control.
Int. J. Syst. Sci., 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

Output tracking of time-varying linear system using ZD controller with pseudo division-by-zero phenomenon illustrated.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

Taylor-zhang discretization formula extended to time-varying four fundamental operations with numerical experiments.
Proceedings of the IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, Beijing, China, October 29, 2017

GD controller of type Z0G1 and sigmoid-function limited controller of type Z0G1SFL for linear time-invariant system output-tracking control.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

Stabilization of three time-varying linear systems using ZG method with pseudo division-by-zero phenomena displayed.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

Ten-Quarter Projection for Spanish Central Government Debt via WASD Neuronet.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Symbolic Solutions to Division by Zero Problem via Gradient Neurodynamics.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Numerical prediction of short-term snowy weather in Guangzhou via addition-subtraction frequency (ASF) algorithm with unequally half traversal.
Proceedings of the 13th International Conference on Natural Computation, 2017

Possible M7.0-or-above chile earthquake numerically projected via full-traversal addition-subtraction frequency method.
Proceedings of the 13th International Conference on Natural Computation, 2017

Zhang dynamics tracking control of varactor system with stability analysis.
Proceedings of the 13th International Conference on Natural Computation, 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

Sine neural network (SNN) with double-stage weights and structure determination (DS-WASD).
Soft Comput., 2016

Continuous and discrete Zhang dynamics for real-time varying nonlinear optimization.
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

Dynamic design, numerical solution and effective verification of acceleration-level obstacle-avoidance scheme for robot manipulators.
Int. J. Syst. Sci., 2016

CP-activated WASD neuronet approach to Asian population prediction with abundant experimental verification.
Neurocomputing, 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

WASD Algorithm with Pruning-While-Growing and Twice-Pruning Techniques for Multi-Input Euler Polynomial Neural Network.
Int. J. Artif. Intell. Tools, 2016

Revisit and compare Ma equivalence and Zhang equivalence of minimum velocity norm (MVN) type.
Adv. Robotics, 2016

Robot 1LpMD system output control using ZD method with four-state space representation.
Proceedings of the 3rd International Conference on Systems and Informatics, 2016

Inverse-free solution to inverse kinematics of two-wheeled mobile robot system using gradient dynamics method.
Proceedings of the 3rd International Conference on Systems and Informatics, 2016

Discontinuous signum-activated ZD controllers handling agitator tank as an attempt.
Proceedings of the 3rd International Conference on Systems and Informatics, 2016

Optimal parameter value of Zhang equivalence for MVN redundancy resolution at velocity and acceleration levels.
Proceedings of the 12th International Conference on Natural Computation, 2016

Jerk-level solutions to manipulator inverse kinematics with mathematical equivalence of operations discovered.
Proceedings of the 12th International Conference on Natural Computation, 2016

Link from ZD control to pascal's triangle illustrated via multiple-integrator systems.
Proceedings of the 12th International Conference on Natural Computation, 2016

Simple effective Zhang-dynamics stabilization control of the 4th-order hyper-chaotic Lu system with one input.
Proceedings of the 12th International Conference on Natural Computation, 2016

Population projection of the Indian subcontinent using TP-aided WASD neuronet.
Proceedings of the 12th International Conference on Natural Computation, 2016

MSFD method based temperature forecasting with mode of learning-checking and core functions.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

Numerical experiments and verifications of ZFD formula 4NgSFD for first-order derivative discretization and approximation.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

ZG tracking controller of z2g1 type for fractional power system.
Proceedings of the IEEE International Conference on Information and Automation, 2016

GZ-type complex dynamic system solving online for time-varying complex matrix inverse.
Proceedings of the IEEE International Conference on Information and Automation, 2016

2015
Neural-Dynamic-Method-Based Dual-Arm CMG Scheme With Time-Varying Constraints Applied to Humanoid Robots.
IEEE Trans. Neural Networks Learn. Syst., 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

G2-Type SRMPC Scheme for Synchronous Manipulation of Two Redundant Robot Arms.
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

Common nature of learning between BP-type and Hopfield-type neural networks.
Neurocomputing, 2015

ZNN for solving online time-varying linear matrix-vector inequality via equality conversion.
Appl. Math. Comput., 2015

Inverse-Free Scheme of G1 Type to Velocity-Level Inverse Kinematics of Redundant Robot Manipulators.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

USPD Doubling or Declining in Next Decade Estimated by WASD Neuronet Using Data as of October 2013.
Proceedings of the Computational Intelligence and Intelligent Systems, 2015

Simply and effectively proved square characteristics of discrete-time zd solving systems of time-varying nonlinear equations.
Proceedings of the IEEE International Conference on Information and Automation, 2015

ZG control for 2-output tracking of 3-input nonlinear system with GD used additionally twice more.
Proceedings of the IEEE International Conference on Information and Automation, 2015

WASD neuronet prediction for China's population.
Proceedings of the IEEE International Conference on Information and Automation, 2015

Continuous model and verification of G-type Zhang reciprocal (ZR) conquering 1/0 singularity of four kinds.
Proceedings of the IEEE International Conference on Information and Automation, 2015

ZG tracking control of 3-input 3-output nonlinear system with GD used additionally once more.
Proceedings of the Seventh International Conference on Advanced Computational Intelligence, 2015

Tracking and stabilizing Chen chaotic system via one multiplicative coefficient as Zhang-gradient control input.
Proceedings of the Seventh International Conference on Advanced Computational Intelligence, 2015

Apply signum-activated WASD neuronet to learning XOR logic via noisy input and output data.
Proceedings of the Seventh International Conference on Advanced Computational Intelligence, 2015

Inverse-free solution of Z1G1 type to acceleration-level inverse kinematics of redundant robot manipulators.
Proceedings of the Seventh International Conference on Advanced Computational Intelligence, 2015

2014
Different Complex ZFs Leading to Different Complex ZNN Models for Time-Varying Complex Generalized Inverse Matrices.
IEEE Trans. Neural Networks Learn. Syst., 2014

Zhang Neural Network for Online Solution of Time-Varying Linear Matrix Inequality Aided With an Equality Conversion.
IEEE Trans. Neural Networks Learn. Syst., 2014

Acceleration-Level Inequality-Based MAN Scheme for Obstacle Avoidance of Redundant Robot Manipulators.
IEEE Trans. Ind. Electron., 2014

A New Performance Index for the Repetitive Motion of Mobile Manipulators.
IEEE Trans. Cybern., 2014

Simulation and Experimental Verification of Weighted Velocity and Acceleration Minimization for Robotic Redundancy Resolution.
IEEE Trans Autom. Sci. Eng., 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

Weights and structure determination of multiple-input feed-forward neural network activated by Chebyshev polynomials of Class 2 via cross-validation.
Neural Comput. Appl., 2014

Analysis and Verification of Repetitive Motion Planning and Feedback Control for Omnidirectional Mobile Manipulator Robotic Systems.
J. Intell. Robotic Syst., 2014

From different ZFs to different ZNN models accelerated via Li activation functions to finite-time convergence for time-varying matrix pseudoinversion.
Neurocomputing, 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

Singularity-conquering ZG controllers of z2g1 type for tracking control of the IPC system.
Int. J. Control, 2014

Li-function activated ZNN with finite-time convergence applied to redundant-manipulator kinematic control via time-varying Jacobian matrix pseudoinversion.
Appl. Soft Comput., 2014

Different-Level Simultaneous Minimization with Aid of Ma Equivalence for Robotic Redundancy Resolution.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Z-Type Model for Real-Time Solution of Complex ZLE.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Performance analysis of LVI-based PDNN applied to real-time solution of time-varying quadratic programming.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Three new ZNN models with economical dimension and exponential convergence for real-time solution of moore-penrose pseudoinverse.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Time series forecasting via weighted combination of trend and seasonality respectively with linearly declining increments and multiple sine functions.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Case study of Zhang matrix inverse for different ZFs leading to different nets.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Restoration of missing time-series data via multiple sine functions decomposition with Guangzhou-temperature application.
Proceedings of the 2nd International Conference on Systems and Informatics, 2014

Two numerical algorithms and numerical experiments for efficiently solving inequality-and-bound constrained QP.
Proceedings of the 2nd International Conference on Systems and Informatics, 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

Uniqueness logic represented via decimal numbers with WASD neural network.
Proceedings of the 10th International Conference on Natural Computation, 2014

ZG trajectory generation of Van der Pol oscillator in affine-control form with division-by-zero problem handled.
Proceedings of the 10th International Conference on Natural Computation, 2014

Acceleration-level Z2G0 controller for redundant manipulator end-effector tracking.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

ZG Control of Populations of Lotka-Volterra Equations Using Interaction Coefficients as Inputs.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

Theory and Substantiation of z0g1 Controller Conquering Singularity Problem of Output Tracking for a Class of Nonlinear System.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

From Newton Fractals to Gradient Fractals in Addition to Zhang Fractals.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

Power-Activated WASD Neuronet Based Russian Population Estimation, Correction, and Prediction.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

Cart Velocity Tracking of General IPC Model Using ZG Control Compared with Cart Path Tracking.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

Solving the Problem of Runge Phenomenon by Pseudoinverse Cubic Spline.
Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

2013
Common Nature of Learning Between Back-Propagation and Hopfield-Type Neural Networks for Generalized Matrix Inversion With Simplified Models.
IEEE Trans. Neural Networks Learn. Syst., 2013

Link Between and Comparison and Combination of Zhang Neural Network and Quasi-Newton BFGS Method for Time-Varying Quadratic Minimization.
IEEE Trans. Cybern., 2013

Acceleration-Level Repetitive Motion Planning and Its Experimental Verification on a Six-Link Planar Robot Manipulator.
IEEE Trans. Control. Syst. Technol., 2013

Z-type and G-type models for time-varying inverse square root (TVISR) solving.
Soft Comput., 2013

Solving for time-varying and static cube roots in real and complex domains via discrete-time ZD models.
Neural Comput. Appl., 2013

Superior robustness of power-sum activation functions in Zhang neural networks for time-varying quadratic programs perturbed with large implementation errors.
Neural Comput. Appl., 2013

Discrete-time ZD, GD and NI for solving nonlinear time-varying equations.
Numer. Algorithms, 2013

A new type of recurrent neural networks for real-time solution of Lyapunov equation with time-varying coefficient matrices.
Math. Comput. Simul., 2013

Different-Level Simultaneous Minimization of Joint-Velocity and Joint-Torque for Redundant Robot Manipulators.
J. Intell. Robotic Syst., 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

Different Zhang functions leading to different ZNN models illustrated via time-varying matrix square roots finding.
Expert Syst. Appl., 2013

From Newton Fractals to Zhang Fractals Yielded via Solving nonlinear equations in Complex Domain.
Control. Intell. Syst., 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

Zhang equivalence of different-level robotic schemes: An MVN case study based on PA10 robot manipulator.
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

Zhang-Gradient Controllers of Z0G0, Z1G0 and Z1G1 Types for Output Tracking of Time-Varying Linear Systems with Control-Singularity Conquered Finally.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Robustness Analysis of Z-type ZLE Solving.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

ZG Controllers of Z2g0 and Z2g1 Types for Tracking Control of IPC Mathematical Model.
Proceedings of the 3rd IFAC International Conference on Intelligent Control and Automation Science, 2013

New discrete-time ZNN models and numerical algorithms derived from a new Zhang function for time-varying linear equations solving.
Proceedings of the Ninth International Conference on Natural Computation, 2013

A continuous-time model and simulative verifications of Zhang-gradient type Zhang reciprocal for time-varying numbers.
Proceedings of the Ninth International Conference on Natural Computation, 2013

ZD and ZG controllers for explicit and implicit tracking of pendulum with singularity finally conquered.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

Superior robustness of using power-sigmoid activation functions in Z-type models for time-varying problems solving.
Proceedings of the International Conference on Machine Learning and Cybernetics, 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

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

Different complex ZFs leading to different complex ZNN models for time-varying complex matrix inversion.
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

ZG Control for Ship Course Tracking with Singularity Considered and Solved.
Proceedings of the IEEE 11th International Conference on Dependable, 2013

2012
Acceleration-Level Cyclic-Motion Generation of Constrained Redundant Robots Tracking Different Paths.
IEEE Trans. Syst. Man Cybern. Part B, 2012

A New Inequality-Based Obstacle-Avoidance MVN Scheme and Its Application to Redundant Robot Manipulators.
IEEE Trans. Syst. Man Cybern. Part C, 2012

Different-Level Redundancy-Resolution and Its Equivalent Relationship Analysis for Robot Manipulators Using Gradient-Descent and Zhang 's Neural-Dynamic Methods.
IEEE Trans. Ind. Electron., 2012

Two New Types of Zhang Neural Networks Solving Systems of Time-Varying Nonlinear Inequalities.
IEEE Trans. Circuits Syst. I Regul. Pap., 2012

State adjustment of redundant robot manipulator based on quadratic programming.
Robotica, 2012

Different-level two-norm and infinity-norm minimization to remedy joint-torque instability/divergence for redundant robot manipulators.
Robotics Auton. Syst., 2012

Zhang neural network and its application to Newton iteration for matrix square root estimation.
Neural Comput. Appl., 2012

Design and implementation of a zero-initial-velocity self-motion scheme on a six-DOF planar robot manipulator.
Ind. Robot, 2012

Zhang neural network, Getz-Marsden dynamic system, and discrete-time algorithms for time-varying matrix inversion with application to robots' kinematic control.
Neurocomputing, 2012

Superior performance of using hyperbolic sine activation functions in ZNN illustrated via time-varying matrix square roots finding.
Comput. Sci. Inf. Syst., 2012

Differentiating complex network models: An engineering perspective.
Comput. Math. Appl., 2012

Novel Recurrent Neural Network for Time-Varying Problems Solving [Research Frontier].
IEEE Comput. Intell. Mag., 2012

Time-Varying Moore-Penrose Inverse Solving Shows Different Zhang Functions Leading to Different ZNN Models.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Discrete-Time ZNN Algorithms for Time-Varying Quadratic Programming Subject to Time-Varying Equality Constraint.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Growing-type weights and structure determination of 2-input Legendre orthogonal polynomial neuronet.
Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 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 nonlinear equations by discrete-time complex-valued ZD.
Proceedings of the 2012 IEEE International Conference on Automation and Logistics, 2012

Different-Level Schemes' Equivalence for Self-Motion Planning of Robot Manipulators.
Proceedings of the Artificial Intelligence and Computational Intelligence, 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

Comparison on Zhang neural dynamics and gradient-based neural dynamics for online solution of nonlinear time-varying equation.
Neural Comput. Appl., 2011

Continuous and discrete time Zhang dynamics for time-varying <i>4</i>th root finding.
Numer. Algorithms, 2011

Performance analysis of gradient neural network exploited for online time-varying quadratic minimization and equality-constrained quadratic programming.
Neurocomputing, 2011

Zhang neural network versus gradient-based neural network for time-varying linear matrix equation solving.
Neurocomputing, 2011

Zhang neural network solving for time-varying full-rank matrix Moore-Penrose inverse.
Computing, 2011

IA-AIS: An improved adaptive artificial immune system applied to complex optimization problems.
Appl. Soft Comput., 2011

Complex-valued Zhang neural network for online complex-valued time-varying matrix inversion.
Appl. Math. Comput., 2011

Comparison on Continuous-Time Zhang Dynamics and Newton-Raphson Iteration for Online Solution of Nonlinear Equations.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

Time-Varying Quadratic Programming by Zhang Neural Network Equipped with a Time-Varying Design Parameter <i>γ</i>(<i>t</i>).
Proceedings of the Advances in Neural Networks - ISNN 2011, 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

Minimum-effort redundancy resolution of robot manipulators unified by quadratic programming.
Proceedings of the IEEE International Conference on Automation and Logistics, 2011

2010
Bi-criteria velocity minimization of robot manipulators using LVI-based primal-dual neural network and illustrated via PUMA560 robot arm.
Robotica, 2010

Time-varying square roots finding via Zhang dynamics versus gradient dynamics and the former's link and new explanation to Newton-Raphson iteration.
Inf. Process. Lett., 2010

Support vector machine optimal control for mobile wheeled inverted pendulums with unmodelled dynamics.
Neurocomputing, 2010

Exponential Stability Analysis of Neural Networks with Variable Delays.
Int. J. Bifurc. Chaos, 2010

Improved Zhang neural network model and its solution of time-varying generalized linear matrix equations.
Expert Syst. Appl., 2010

Using topological characteristics to evaluate complex network models can be misleading
CoRR, 2010

Robust adaptive motion/force control for wheeled inverted pendulums.
Autom., 2010

Convergence analysis of Zhang neural networks solving time-varying linear equations but without using time-derivative information.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

Quadratic-programming based self-motion planning with no target-configuration assigned for planar robot arms.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

More than Newton iterations generalized from Zhang neural network for constant matrix inversion aided with line-search algorithm.
Proceedings of the 8th IEEE International Conference on Control and Automation, 2010

A neural network model for power system inter-harmonics estimation.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009
Competitive Hopfield Network Combined With Estimation of Distribution for Maximum Diversity Problems.
IEEE Trans. Syst. Man Cybern. Part B, 2009

From Zhang Neural Network to Newton Iteration for Matrix Inversion.
IEEE Trans. Circuits Syst. I Regul. Pap., 2009

Performance Analysis of Gradient Neural Network Exploited for Online Time-Varying Matrix Inversion.
IEEE Trans. Autom. Control., 2009

Simulation and verification of Zhang neural network for online time-varying matrix inversion.
Simul. Model. Pract. Theory, 2009

Repetitive motion of redundant robots planned by three kinds of recurrent neural networks and illustrated with a four-link planar manipulator's straight-line example.
Robotics Auton. Syst., 2009

MATLAB Simulink modeling and simulation of LVI-based primal-dual neural network for solving linear and quadratic programs.
Neurocomputing, 2009

Global exponential convergence and stability of gradient-based neural network for online matrix inversion.
Appl. Math. Comput., 2009

Bi-criteria torque minimization of redundant robot arms with schemes, models and methods compared.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

Time-Varying Matrix Square Roots Solving via Zhang Neural Network and Gradient Neural Network: Modeling, Verification and Comparison.
Proceedings of the Advances in Neural Networks, 2009

Bernoulli Neural Network with Weights Directly Determined and with the Number of Hidden- Layer Neurons Automatically Determined.
Proceedings of the Advances in Neural Networks, 2009

Multi-start Stochastic Competitive Hopfield Neural Network for p-Median Problem.
Proceedings of the Advances in Neural Networks, 2009

Modeling and Verification of Zhang Neural Networks for Online Solution of Time-Varying Quadratic Minimization and Programming.
Proceedings of the Advances in Computation and Intelligence, 4th International Symposium, 2009

Euler Neural Network with Its Weight-Direct-Determination and Structure-Automatic-Determination Algorithms.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009

Sieve-Decrease Algorithms of Polynomial Neural Networks.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2008
Bi-criteria Velocity Minimization of Robot Manipulators Using a Linear Variational Inequalities-Based Primal-Dual Neural Network and PUMA560 Example.
Adv. Robotics, 2008

MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Time-Varying Lyapunov Equation Solving.
Proceedings of the Advances in Neural Networks, 2008

Comparison on Gradient-Based Neural Dynamics and Zhang Neural Dynamics for Online Solution of Nonlinear Equations.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

A simplified LVI-based primal-dual neural network for repetitive motion planning of PA10 robot manipulator starting from different initial states.
Proceedings of the International Joint Conference on Neural Networks, 2008

Zhang neural network without using time-derivative information for constant and time-varying matrix inversion.
Proceedings of the International Joint Conference on Neural Networks, 2008

MATLAB Simulink modeling and simulation of Zhang neural networks for online time-varying sylvester equation solving.
Proceedings of the International Joint Conference on Neural Networks, 2008

Common Nature of Learning Exemplified by BP and Hopfield Neural Networks for Solving Online a System of Linear Equations.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

MATLAB Simulink Modeling and Simulation of Zhang Neural Network for Online Time-Varying Matrix Inversion.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2008

Simulink Modeling and Comparison of Zhang Neural Networks and Gradient Neural Networks for Time-Varying Lyapunov Equation Solving.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Growing Algorithm of Laguerre Orthogonal Basis Neural Network with Weights Directly Determined.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

Zhang Neural Network Versus Gradient Neural Network for Online Time-Varying Quadratic Function Minimization.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Online Solution of Linear Time-Varying Matrix Equation AXB-C=0.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

A weights-directly-determined simple neural network for nonlinear system identification.
Proceedings of the FUZZ-IEEE 2008, 2008

Fuzzy-Neural Networks Control System Modeling Based on Extension Decision Strategy Generation Mechanism.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Discrete quantum-behaved particle swarm optimization based on estimation of distribution for combinatorial optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
<i>O</i>(<i>N</i> <sup>2</sup>)-Operation Approximation of Covariance Matrix Inverse in Gaussian Process Regression Based on Quasi-Newton BFGS Method.
Commun. Stat. Simul. Comput., 2007

Repetitive Motion Planning of Redundant Robots Based on LVI-Based Primal-Dual Neural Network and PUMA560 Example.
Proceedings of the Life System Modeling and Simulation, International Conference, 2007

Particle Swarm Optimization Applied to Vertical Traffic Scheduling in Buildings.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Zhang Neural Network for Online Solution of Time-Varying Sylvester Equation.
Proceedings of the Advances in Computation and Intelligence, 2007

An Efficient Artificial Immune Network with Elite-Learning.
Proceedings of the Third International Conference on Natural Computation, 2007

One-Dimensional Analysis of Exponential Convergence Condition for Dual Neural Network.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

MATLAB Simulation of Gradient-Based Neural Network for Online Matrix Inversion.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2007

Particle Swarm Optimization for Dynamic Sectoring Control During Peak Traffic Pattern.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007

Inverse-free Dual Neural Networks for Online Solution of Strictly Convex Quadratic Programming.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

Random Scaling of Quasi-Newton BFGS Method to Improve the O(N<sup>2</sup>)-operation Approximation of Covariance-matrix Inverse in Gaussian Process.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

2006
A set of nonlinear equations and inequalities arising in robotics and its online solution via a primal neural network.
Neurocomputing, 2006

Inequality-based Manipulator-Obstacle Avoidance Using the LVI-based Primal-dual Neural Network.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2006

2005
Design and analysis of a general recurrent neural network model for time-varying matrix inversion.
IEEE Trans. Neural Networks, 2005

Exploiting Hessian matrix and trust-region algorithm in hyperparameters estimation of Gaussian process.
Appl. Math. Comput., 2005

Wind turbine rotor acceleration: identification using gaussian regression.
Proceedings of the ICINCO 2005, 2005

Time-series Gaussian Process Regression Based on Toeplitz Computation of O(N2) Operations and O(N)-level Storage.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

On the LVI-based primal-dual neural network for solving online linear and quadratic programming problems.
Proceedings of the American Control Conference, 2005

Revisit the Analog Computer and Gradient-Based Neural System for Matrix Inversion.
Proceedings of the Intelligent Control, 2005

2004
Obstacle avoidance for kinematically redundant manipulators using a dual neural network.
IEEE Trans. Syst. Man Cybern. Part B, 2004

A unified quadratic-programming-based dynamical system approach to joint torque optimization of physically constrained redundant manipulators.
IEEE Trans. Syst. Man Cybern. Part B, 2004

An acceleration-based weighting scheme for minimum-effort inverse kinematics of redundant manipulators.
Proceedings of the Intelligent Control, 2004

2003
A dual neural network for redundancy resolution of kinematically redundant manipulators subject to joint limits and joint velocity limits.
IEEE Trans. Neural Networks, 2003

Obstacle avoidance of redundant manipulators using a dual neural network.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

A general recurrent neural network model for time-varying matrix inversion.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002
A dual neural network for constrained joint torque optimization of kinematically redundant manipulators.
IEEE Trans. Syst. Man Cybern. Part B, 2002

A dual neural network for bi-criteria kinematic control of redundant manipulators.
IEEE Trans. Robotics Autom., 2002

Global exponential stability of recurrent neural networks for synthesizing linear feedback control systems via pole assignment.
IEEE Trans. Neural Networks, 2002

A recurrent neural network for solving Sylvester equation with time-varying coefficients.
IEEE Trans. Neural Networks, 2002

2001
Recurrent neural networks for nonlinear output regulation.
Autom., 2001


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