Jun Wang

According to our database1, Jun Wang authored at least 297 papers between 1991 and 2020.

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2020
Two Projection Neural Networks With Reduced Model Complexity for Nonlinear Programming.
IEEE Trans. Neural Networks Learn. Syst., 2020

Task Assignment for Multivehicle Systems Based on Collaborative Neurodynamic Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2020

Multistability of switched neural networks with sigmoidal activation functions under state-dependent switching.
Neural Networks, 2020

2019
Global Synchronization of Coupled Fractional-Order Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2019

Multistability of Switched Neural Networks With Piecewise Linear Activation Functions Under State-Dependent Switching.
IEEE Trans. Neural Networks Learn. Syst., 2019

A Two-Timescale Duplex Neurodynamic Approach to Biconvex Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2019

Constrained Control of Autonomous Underwater Vehicles Based on Command Optimization and Disturbance Estimation.
IEEE Trans. Ind. Electron., 2019

Path-Following Control of Autonomous Underwater Vehicles Subject to Velocity and Input Constraints via Neurodynamic Optimization.
IEEE Trans. Ind. Electron., 2019

Consensus of Heterogeneous Nonlinear Multiagent Systems With Duplex Control Laws.
IEEE Trans. Autom. Control., 2019

Cooperative-Competitive Multiagent Systems for Distributed Minimax Optimization Subject to Bounded Constraints.
IEEE Trans. Autom. Control., 2019

A collaborative neurodynamic approach to global and combinatorial optimization.
Neural Networks, 2019

Neurodynamics-Based Receding Horizon Control of an HVAC System.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

A Collaborative Neurodynamic Approach to Sparse Coding.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019

2018
Output-Feedback Path-Following Control of Autonomous Underwater Vehicles Based on an Extended State Observer and Projection Neural Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Admissible Delay Upper Bounds for Global Asymptotic Stability of Neural Networks With Time-Varying Delays.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Collaborative Neurodynamic Approach to Multiple-Objective Distributed Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2018

Robust Regression Estimation Based on Low-Dimensional Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

Multistability of Recurrent Neural Networks With Nonmonotonic Activation Functions and Unbounded Time-Varying Delays.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Collaborative Neurodynamic Approach to Multiobjective Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2018

A Two-Phase Fuzzy Clustering Algorithm Based on Neurodynamic Optimization With Its Application for PolSAR Image Segmentation.
IEEE Trans. Fuzzy Syst., 2018

Distributed Maneuvering of Autonomous Surface Vehicles Based on Neurodynamic Optimization and Fuzzy Approximation.
IEEE Trans. Control. Syst. Technol., 2018

A nonnegative matrix factorization algorithm based on a discrete-time projection neural network.
Neural Networks, 2018

Classification of PolSAR Images Based on Adaptive Nonlocal Stacked Sparse Autoencoder.
IEEE Geosci. Remote. Sens. Lett., 2018

Task Assignment Based on a Dual Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

A Neurodynamic Approach to Multiobjective Linear Programming.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

Neurodynamics-Based Distributed Receding Horizon Trajectory Generation for Autonomous Surface Vehicles.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

An Analog Circuit Design for k-Winners-Take-All Operations.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Collaborative Neurodynamic Approach to Symmetric Nonnegative Matrix Factorization.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Distributed Optimization Based on a Multiagent System in the Presence of Communication Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Multiple Mittag-Leffler Stability of Fractional-Order Recurrent Neural Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Global Synchronization of Multiple Recurrent Neural Networks With Time Delays via Impulsive Interactions.
IEEE Trans. Neural Networks Learn. Syst., 2017

A Collective Neurodynamic Approach to Constrained Global Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2017

A Neurodynamic Optimization Approach to Bilevel Quadratic Programming.
IEEE Trans. Neural Networks Learn. Syst., 2017

Predictor-Based Neural Dynamic Surface Control for Uncertain Nonlinear Systems in Strict-Feedback Form.
IEEE Trans. Neural Networks Learn. Syst., 2017

A Collective Neurodynamic Approach to Distributed Constrained Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2017

A Two-Time-Scale Neurodynamic Approach to Constrained Minimax Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2017

A Collective Neurodynamic Optimization Approach to Nonnegative Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., 2017

Distributed Containment Maneuvering of Multiple Marine Vessels via Neurodynamics-Based Output Feedback.
IEEE Trans. Ind. Electron., 2017

A Multi-Agent System With a Proportional-Integral Protocol for Distributed Constrained Optimization.
IEEE Trans. Autom. Control., 2017

Complete stability of delayed recurrent neural networks with Gaussian activation functions.
Neural Networks, 2017

Multistability of Delayed Recurrent Neural Networks with Mexican Hat Activation Functions.
Neural Computation, 2017

Saturated Kinetic Control of Autonomous Surface Vehicles Based on Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

State Estimation for Autonomous Surface Vehicles Based on Echo State Networks.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

A Collective Neurodynamic Optimization Approach to Nonnegative Tensor Decomposition.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Robust pole assignment for synthesizing fractional-order control systems via neurodynamic optimization.
Proceedings of the 13th IEEE International Conference on Control & Automation, 2017

2016
Robustness of Global Exponential Stability of Nonlinear Systems With Random Disturbances and Time Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2016

Multistability of Recurrent Neural Networks With Nonmonotonic Activation Functions and Mixed Time Delays.
IEEE Trans. Syst. Man Cybern. Syst., 2016

A Bi-Projection Neural Network for Solving Constrained Quadratic Optimization Problems.
IEEE Trans. Neural Networks Learn. Syst., 2016

L<sub>1</sub>-Minimization Algorithms for Sparse Signal Reconstruction Based on a Projection Neural Network.
IEEE Trans. Neural Networks Learn. Syst., 2016

Tube-Based Robust Model Predictive Control of Nonlinear Systems via Collective Neurodynamic Optimization.
IEEE Trans. Ind. Electron., 2016

Multistability analysis of a general class of recurrent neural networks with non-monotonic activation functions and time-varying delays.
Neural Networks, 2016

Global synchronization of memristive neural networks subject to random disturbances via distributed pinning control.
Neural Networks, 2016

Advances in Neural Networks, Intelligent Control and Information Processing.
Neurocomputing, 2016

Spectral-spatial Classification of Hyperspectral Image Based on Locality Preserving Discriminant Analysis.
Proceedings of the Advances in Neural Networks - ISNN 2016, 2016

An EEG-Based brain-computer interface for emotion recognition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Superpixel-based sparse representation classifier for hyperspectral image.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Multiple-objective optimization based on a two-time-scale neurodynamic system.
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016

A two-time-scale neurodynamic approach to robust pole assignment.
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016

2015
Neurodynamics.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Robust Synchronization of Multiple Memristive Neural Networks With Uncertain Parameters via Nonlinear Coupling.
IEEE Trans. Syst. Man Cybern. Syst., 2015

Global Exponential Synchronization of Two Memristor-Based Recurrent Neural Networks With Time Delays via Static or Dynamic Coupling.
IEEE Trans. Syst. Man Cybern. Syst., 2015

A Complex-Valued Projection Neural Network for Constrained Optimization of Real Functions in Complex Variables.
IEEE Trans. Neural Networks Learn. Syst., 2015

Nonlinear Model Predictive Control Based on Collective Neurodynamic Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2015

A Projection Neural Network for Constrained Quadratic Minimax Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2015

Passivity of Switched Recurrent Neural Networks With Time-Varying Delays.
IEEE Trans. Neural Networks Learn. Syst., 2015

Neurodynamics-Based Robust Pole Assignment for High-Order Descriptor Systems.
IEEE Trans. Neural Networks Learn. Syst., 2015

Global Exponential Synchronization of Multiple Memristive Neural Networks With Time Delay via Nonlinear Coupling.
IEEE Trans. Neural Networks Learn. Syst., 2015

A Delay-Distribution Approach to Stabilization of Networked Control Systems.
IEEE Trans. Control. Netw. Syst., 2015

A Second-Order Multi-Agent Network for Bound-Constrained Distributed Optimization.
IEEE Trans. Autom. Control., 2015

Low-dimensional recurrent neural network-based Kalman filter for speech enhancement.
Neural Networks, 2015

Convergence and attractivity of memristor-based cellular neural networks with time delays.
Neural Networks, 2015

A one-layer recurrent neural network for constrained nonconvex optimization.
Neural Networks, 2015

Global exponential periodicity and stability of discrete-time complex-valued recurrent neural networks with time-delays.
Neural Networks, 2015

Advances in neural networks.
Neurocomputing, 2015

A Neurodynamic Optimization Approach to Bilevel Linear Programming.
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015

A neurodynamic optimization approach to synthesis of linear systems with fault detection via robust pole assignment.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Dynamic particle swarm optimization using a wavelet mutation strategy for composite function optimization.
Proceedings of the Seventh International Conference on Advanced Computational Intelligence, 2015

2014
Robust Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics and Bounded Uncertainties Based on Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2014

One-Layer Continuous-and Discrete-Time Projection Neural Networks for Solving Variational Inequalities and Related Optimization Problems.
IEEE Trans. Neural Networks Learn. Syst., 2014

Robust Pole Assignment for Synthesizing Feedback Control Systems Using Recurrent Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2014

Passivity and Passification of Memristor-Based Recurrent Neural Networks With Time-Varying Delays.
IEEE Trans. Neural Networks Learn. Syst., 2014

Attractivity Analysis of Memristor-Based Cellular Neural Networks With Time-Varying Delays.
IEEE Trans. Neural Networks Learn. Syst., 2014

Cooperative Coevolution for Large-Scale Optimization Based on Kernel Fuzzy Clustering and Variable Trust Region Methods.
IEEE Trans. Fuzzy Syst., 2014

Editorial: The Transactions in Transition.
IEEE Trans. Cybern., 2014

A collective neurodynamic optimization approach to bound-constrained nonconvex optimization.
Neural Networks, 2014

A one-layer recurrent neural network for constrained nonsmooth invex optimization.
Neural Networks, 2014

A systematic method for analyzing robust stability of interval neural networks with time-delays based on stability criteria.
Neural Networks, 2014

Model predictive control of servo motor driven constant pump hydraulic system in injection molding process based on neurodynamic optimization.
J. Zhejiang Univ. Sci. C, 2014

Model Predictive Control of Linear Parameter Varying Systems Based on a Recurrent Neural Network.
Proceedings of the Theory and Practice of Natural Computing, 2014

Neurodynamics-Based Model Predictive Control for Trajectory Tracking of Autonomous Underwater Vehicles.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Multistability and Multiperiodicity Analysis of Complex-Valued Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

PolSAR Image Segmentation Based on the Modified Non-negative Matrix Factorization and Support Vector Machine.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Neurodynamics-based robust pole assignment for synthesizing second-order control systems via output feedback based on a convex feasibility problem reformulation.
Proceedings of the 2014 IEEE International Symposium on Innovations in Intelligent Systems and Applications, 2014

Model predictive control of multi-robot formation based on the simplified dual neural network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Neurodynamics-based model predictive control of autonomous underwater vehicles in vertical plane.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Neurodynamics-based robust eigenstructure assignment for second-order descriptor systems.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Oil spill GF-1 remote sensing image segmentation using an evolutionary feedforward neural network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A neurodynamic optimization approach to robust pole assignment based on convex reformulation.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013
A One-Layer Projection Neural Network for Nonsmooth Optimization Subject to Linear Equalities and Bound Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2013

Efficient Euclidean distance transform algorithm of binary images in arbitrary dimensions.
Pattern Recognit., 2013

A recurrent neural network for solving a class of generalized convex optimization problems.
Neural Networks, 2013

Global exponential dissipativity and stabilization of memristor-based recurrent neural networks with time-varying delays.
Neural Networks, 2013

Neurodynamic optimization approaches to robust pole assignment based on alternative robustness measures.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A Neurodynamic Optimization Approach to Robust Pole Assignment for Synthesizing Linear Control Systems Based on a Convex Feasibility Problem Reformulation.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Stochastic model predictive control of Markov jump linear systems based on a two-layer recurrent neural network.
Proceedings of the IEEE International Conference on Information and Automation, 2013

A neurodynamic optimization approach to robust pole assignment for synthesizing piecewise linear control systems.
Proceedings of the IEEE International Conference on Information and Automation, 2013

A neurodynamic optimization approach to robust pole assignment for synthesizing linear state feedback control systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Robustness Analysis of Global Exponential Stability of Recurrent Neural Networks in the Presence of Time Delays and Random Disturbances.
IEEE Trans. Neural Networks Learn. Syst., 2012

Chaotic Time Series Prediction Based on a Novel Robust Echo State Network.
IEEE Trans. Neural Networks Learn. Syst., 2012

Global Stability of Complex-Valued Recurrent Neural Networks With Time-Delays.
IEEE Trans. Neural Networks Learn. Syst., 2012

Solving the Assignment Problem Using Continuous-Time and Discrete-Time Improved Dual Networks.
IEEE Trans. Neural Networks Learn. Syst., 2012

Model Predictive Control of Nonlinear Systems With Unmodeled Dynamics Based on Feedforward and Recurrent Neural Networks.
IEEE Trans. Ind. Informatics, 2012

Model Predictive Control of Unknown Nonlinear Dynamical Systems Based on Recurrent Neural Networks.
IEEE Trans. Ind. Electron., 2012

A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization.
Neural Networks, 2012

Hausdorff Distance with k-Nearest Neighbors.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

Model predictive control of autonomous underwater vehicles based on the simplified dual neural network.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

A two-pass clustering algorithm based on linear assignment initialization and k-means method.
Proceedings of the 5th International Symposium on Communications, 2012

A neurodynamic approach to bicriteria model predictive control of nonlinear affine systems based on a Goal Programming formulation.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Recurrent Neural Networks with Discontinuous Activation Functions for Convex Optimization.
Proceedings of the Integration of Swarm Intelligence and Artificial Neural Network, 2011

A One-Layer Recurrent Neural Network for Constrained Nonsmooth Optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Finite-Time Convergent Recurrent Neural Network With a Hard-Limiting Activation Function for Constrained Optimization With Piecewise-Linear Objective Functions.
IEEE Trans. Neural Networks, 2011

A Dynamic Feedforward Neural Network Based on Gaussian Particle Swarm Optimization and its Application for Predictive Control.
IEEE Trans. Neural Networks, 2011

A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints.
IEEE Trans. Neural Networks, 2011

A Novel Genetic Programming Algorithm for Designing Morphological Image Analysis Method.
Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011

Solving the Assignment Problem with the Improved Dual Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

A one-layer recurrent neural network for constrained single-ratio linear fractional programming.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

Information retrieval from large data sets via multiple-winners-take-all.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

Robust model predictive control of nonlinear affine systems based on a two-layer recurrent neural network.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A One-Layer Dual Recurrent Neural Network with a Heaviside Step Activation Function for Linear Programming with Its Linear Assignment Application.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Morphological image enhancement procedure design by using genetic programming.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Efficient Euclidean distance transform using perpendicular bisector segmentation.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Analysis and design of a k-winners-take-all model with a single state variable and the heaviside step activation function.
IEEE Trans. Neural Networks, 2010

Applying input variables selection technique on input weighted support vector machine modeling for BOF endpoint prediction.
Eng. Appl. Artif. Intell., 2010

A neurodynamic optimization approach to nonlinear model predictive control.
Proceedings of the IEEE International Conference on Systems, 2010

Parametric Sensitivity and Scalability of <i>k</i>-Winners-Take-All Networks with a Single State Variable and Infinity-Gain Activation Functions.
Proceedings of the Advances in Neural Networks, 2010

Global uniform asymptotic stability of memristor-based recurrent neural networks with time delays.
Proceedings of the International Joint Conference on Neural Networks, 2010

A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions.
Proceedings of the International Joint Conference on Neural Networks, 2010

A One-Layer Dual Neural Network with a Unipolar Hard-Limiting Activation Function for Shortest-Path Routing.
Proceedings of the Artificial Neural Networks, 2010

A novel genetic programming based morphological image analysis algorithm.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009
Almost Sure Exponential Stability of Recurrent Neural Networks With Markovian Switching.
IEEE Trans. Neural Networks, 2009

Blind Source Separation Based on Cumulants With Time and Frequency Non-Properties.
IEEE Trans. Speech Audio Process., 2009

Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation.
Pattern Recognit., 2009

Associative memories based on continuous-time cellular neural networks designed using space-invariant cloning templates.
Neural Networks, 2009

Guest Editorial.
Journal of Multimedia, 2009

Minimizing transmission time in 802.16-based multi-channel mesh networks.
Int. J. Pervasive Comput. Commun., 2009

Motion Planning with Obstacle Avoidance for Kinematically Redundant Manipulators Based on Two Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Systems, 2009

Analysis and synthesis of associative memories based on Brain-State-in-a-Box neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2009

Analysis and design of associative memories based on cellular neural networks with space-invariant cloning templates.
Proceedings of the International Joint Conference on Neural Networks, 2009

Global Exponential Stability of Recurrent Neural Networks with Time-Dependent Switching Dynamics.
Proceedings of the Artificial Neural Networks, 2009

Model predictive control for nonlinear affine systems based on the simplified dual neural network.
Proceedings of the IEEE International Conference on Control Applications, 2009

2008
Design and Analysis of High-Capacity Associative Memories Based on a Class of Discrete-Time Recurrent Neural Networks.
IEEE Trans. Syst. Man Cybern. Part B, 2008

A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints.
IEEE Trans. Neural Networks, 2008

An Improved Algebraic Criterion for Global Exponential Stability of Recurrent Neural Networks With Time-Varying Delays.
IEEE Trans. Neural Networks, 2008

A One-Layer Recurrent Neural Network With a Discontinuous Hard-Limiting Activation Function for Quadratic Programming.
IEEE Trans. Neural Networks, 2008

An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its k-Winners-Take-All Application.
IEEE Trans. Neural Networks, 2008

Convergence Analysis of a Class of Nonsmooth Gradient Systems.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008

Two k-winners-take-all networks with discontinuous activation functions.
Neural Networks, 2008

A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming.
Neural Computation, 2008

International Conference on Neural Information Processing (ICONIP 2006).
Neurocomputing, 2008

Interface assignment and bandwidth allocation for multi-channel wireless mesh networks.
Comput. Commun., 2008

Joint bandwidth allocation, element assignment and scheduling for wireless mesh networks with MIMO links.
Comput. Commun., 2008

Robust Model Predictive Control Using a Discrete-Time Recurrent Neural Network.
Proceedings of the Advances in Neural Networks, 2008

Nonlinear model predictive control using a recurrent neural network.
Proceedings of the International Joint Conference on Neural Networks, 2008

A one-layer recurrentneural network for convex programming.
Proceedings of the International Joint Conference on Neural Networks, 2008

An efficient centralized scheduling algorithm for IEEE 802.16 multi-radio mesh networks.
Proceedings of the 2nd International Conference on Ubiquitous Information Management and Communication, 2008

A One-Layer Recurrent Neural Network for Non-smooth Convex Optimization Subject to Linear Equality Constraints.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Obstacle Avoidance for Kinematically Redundant Manipulators Based on Recurrent Neural Networks.
Proceedings of the Intelligent Robotics and Applications, First International Conference, 2008

Two neural network approaches to model predictive control.
Proceedings of the American Control Conference, 2008

2007
Design of General Projection Neural Networks for Solving Monotone Linear Variational Inequalities and Linear and Quadratic Optimization Problems.
IEEE Trans. Syst. Man Cybern. Part B, 2007

A Recurrent Neural Network for Solving a Class of General Variational Inequalities.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Noise-Induced Stabilization of the Recurrent Neural Networks With Mixed Time-Varying Delays and Markovian-Switching Parameters.
IEEE Trans. Neural Networks, 2007

Solving Generally Constrained Generalized Linear Variational Inequalities Using the General Projection Neural Networks.
IEEE Trans. Neural Networks, 2007

Blind-Source Separation Based on Decorrelation and Nonstationarity.
IEEE Trans. Circuits Syst. I Regul. Pap., 2007

An LMI approach to global asymptotic stability of the delayed Cohen-Grossberg neural network via nonsmooth analysis.
Neural Networks, 2007

Global exponential periodicity and global exponential stability of a class of recurrent neural networks with various activation functions and time-varying delays.
Neural Networks, 2007

Analysis and Design of Associative Memories Based on Recurrent Neural Networks with Linear Saturation Activation Functions and Time-Varying Delays.
Neural Computation, 2007

Solving Variational Inequality Problems with Linear Constraints Based on a Novel Recurrent Neural Network.
Proceedings of the Advances in Neural Networks, 2007

Convergence of a Recurrent Neural Network for Nonconvex Optimization Based on an Augmented Lagrangian Function.
Proceedings of the Advances in Neural Networks, 2007

A One-layer Recurrent Neural Network with a Unipolar Hard-limiting Activation Function for k-Winners-Take-All Operation.
Proceedings of the International Joint Conference on Neural Networks, 2007

A K-Winners-Take-All Neural Network Based on Linear Programming Formulation.
Proceedings of the International Joint Conference on Neural Networks, 2007

Solving the k-Winners-Take-All Problem and the Oligopoly Cournot-Nash Equilibrium Problem Using the General Projection Neural Networks.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

An Efficient Source Peer Selection Algorithm in Hybrid P2P File Sharing Systems.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2007

An improved particle swarm optimizer with momentum.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Multiperiodicity of Discrete-Time Delayed Neural Networks Evoked by Periodic External Inputs.
IEEE Trans. Neural Networks, 2006

Improved conditions for global exponential stability of recurrent neural networks with time-varying delays.
IEEE Trans. Neural Networks, 2006

A Simplified Dual Neural Network for Quadratic Programming With Its KWTA Application.
IEEE Trans. Neural Networks, 2006

Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network.
IEEE Trans. Neural Networks, 2006

Complete stability of cellular neural networks with time-varying delays.
IEEE Trans. Circuits Syst. I Regul. Pap., 2006

Global robust stability of a class of discrete-time interval neural networks.
IEEE Trans. Circuits Syst. I Regul. Pap., 2006

Global exponential stability of recurrent neural networks with time-varying delays in the presence of strong external stimuli.
Neural Networks, 2006

Multiperiodicity and Exponential Attractivity Evoked by Periodic External Inputs in Delayed Cellular Neural Networks.
Neural Computation, 2006

Associative Memories Based on Discrete-Time Cellular Neural Networks with One-Dimensional Space-Invariant Templates.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Global stability of a recurrent neural network for solving pseudomonotone variational inequalities.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Sequential blind extraction of instantaneous mixtures with arbitrary rank.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Synthesis of Bipolar Associative Memories Based on Cellular Neural Networks with Two-dimensional Space-invariant Templates.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Recurrent Neural Network for Solving Nonconvex Optimization Problems.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Recurrent Neural Network for Non-smooth Convex Programming Subject to Linear Equality and Bound Constraints.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

Solving Extended Linear Programming Problems Using a Class of Recurrent Neural Networks.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
A primal-dual neural network for online resolving constrained kinematic redundancy in robot motion control.
IEEE Trans. Syst. Man Cybern. Part B, 2005

A recurrent neural network for solving nonlinear convex programs subject to linear constraints.
IEEE Trans. Neural Networks, 2005

Global exponential periodicity of a class of recurrent neural networks with oscillating parameters and time-varying delays.
IEEE Trans. Neural Networks, 2005

Global asymptotic stability and global exponential stability of neural networks with unbounded time-varying delays.
IEEE Trans. Circuits Syst. II Express Briefs, 2005

Global asymptotic stability and global exponential stability of delayed cellular neural networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2005

Global exponential stability and periodicity of recurrent neural networks with time delays.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005

Global asymptotic and robust stability of recurrent neural networks with time delays.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005

A network model for blind source extraction in various ill-conditioned cases.
Neural Networks, 2005

Obstacle Avoidance for Kinematically Redundant Manipulators Using the Deterministic Annealing Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

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

A one-layer recurrent neural network for support vector machine learning.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Constrained motion control of flexible robot manipulators based on recurrent neural networks.
IEEE Trans. Syst. Man Cybern. Part B, 2004

Grasping-force optimization for multifingered robotic hands using a recurrent neural network.
IEEE Trans. Robotics, 2004

A general projection neural network for solving monotone variational inequalities and related optimization problems.
IEEE Trans. Neural Networks, 2004

A Support Vector Machine with a Hybrid Kernel and Minimal Vapnik-Chervonenkis Dimension.
IEEE Trans. Knowl. Data Eng., 2004

Stability analysis of delayed cellular neural networks described using cloning templates.
IEEE Trans. Circuits Syst. I Regul. Pap., 2004

A recurrent neural network for nonlinear convex optimization subject to nonlinear inequality constraints.
IEEE Trans. Circuits Syst. I Regul. Pap., 2004

Global output convergence of a class of continuous-time recurrent neural networks with time-varying thresholds.
IEEE Trans. Circuits Syst. II Express Briefs, 2004

Blind source extraction from convolutive mixtures in ill-conditioned multi-input multi-output channels.
IEEE Trans. Circuits Syst. I Regul. Pap., 2004

A recurrent neural network with exponential convergence for solving convex quadratic program and related linear piecewise equations.
Neural Networks, 2004

Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays.
Neural Networks, 2004

Algebraic conditions of stability for hopfield neural network.
Sci. China Ser. F Inf. Sci., 2004

Delay-dependent robust stability of uncertain nonlinear systems with time delay.
Appl. Math. Comput., 2004

A Dual Neural Network for Bi-criteria Torque Optimization of Redundant Robot Manipulators.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003
Synthesis of force-closure grasps on 3-D objects based on the Q distance.
IEEE Trans. Robotics Autom., 2003

Grasp analysis and synthesis based on a new quantitative measure.
IEEE Trans. Robotics Autom., 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

Absolute exponential stability of a class of continuous-time recurrent neural networks.
IEEE Trans. Neural Networks, 2003

Digital hardware realization of a recurrent neural network for solving the assignment problem.
Neurocomputing, 2003

Global and Robust Stability of Interval Hopfield Neural Networks with Time-Varying Delays.
Int. J. Neural Syst., 2003

Novel Stability Criteria for Delayed Cellular Neural Networks.
Int. J. Neural Syst., 2003

Formation of machine cells and part families in cellular manufacturing systems using a linear assignment algorithm.
Autom., 2003

A recurrent neural network for nonlinear convex programming.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

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

2002
A multistage self-organizing algorithm combined transiently chaotic neural network for cellular channel assignment.
IEEE Trans. Veh. Technol., 2002

Sequential blind extraction of instantaneously mixed sources.
IEEE Trans. Signal Process., 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

Global asymptotic stability and global exponential stability of continuous-time recurrent neural networks.
IEEE Trans. Autom. Control., 2002

Augmented gradient flows for on-line robust pole assignment via state and output feedback.
Autom., 2002

A gradient flow approach to on-line robust pole assignment for synthesizing output feedback control systems.
Autom., 2002

2001
A dual neural network for kinematic control of redundant robot manipulators.
IEEE Trans. Syst. Man Cybern. Part B, 2001

A recurrent neural network for minimum infinity-norm kinematic control of redundant manipulators with an improved problem formulation and reduced architecture complexity.
IEEE Trans. Syst. Man Cybern. Part B, 2001

Nonlinear blind source separation using a radial basis function network.
IEEE Trans. Neural Networks, 2001

Nonlinear blind source separation using higher order statistics and a genetic algorithm.
IEEE Trans. Evol. Comput., 2001

Global asymptotic and exponential stability of a dynamic neural system with asymmetric connection weights.
IEEE Trans. Autom. Control., 2001

Architecture and design of a hardware accelerator for efficient 3D object recognition using the LC method.
Inf. Sci., 2001

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

Quadratic stabilizability of a new class of linear systems with structural independent time-varying uncertainty.
Autom., 2001

Kinematic Control and Obstacle Avoidance for Redundant Manipulators Using a Recurrent Neural Network.
Proceedings of the Artificial Neural Networks, 2001

2000
Two recurrent neural networks for local joint torque optimization of kinematically redundant manipulators.
IEEE Trans. Syst. Man Cybern. Part B, 2000

Real-time tool condition monitoring using wavelet transforms and fuzzy techniques.
IEEE Trans. Syst. Man Cybern. Part C, 2000

Global exponential stability of recurrent neural networks for solving optimization and related problems.
IEEE Trans. Neural Networks Learn. Syst., 2000

A recurrent neural network for nonlinear optimization with a continuously differentiable objective function and bound constraints.
IEEE Trans. Neural Networks Learn. Syst., 2000

Blind extraction of singularly mixed source signals.
IEEE Trans. Neural Networks Learn. Syst., 2000

On-line learning of dynamical systems in the presence of model mismatch and disturbances.
IEEE Trans. Neural Networks Learn. Syst., 2000

A discrete-time recurrent neural network for shortest-path routing.
IEEE Trans. Autom. Control., 2000

On stabilization of a new class of linear time-invariant interval systems via constant state feedback control.
IEEE Trans. Autom. Control., 2000

A recurrent neural network for solving linear projection equations.
Neural Networks, 2000

A Discrete-Time Lagrangian Network for Solving Constrained Quadratic Programs.
Int. J. Neural Syst., 2000

A Recurrent Neural Network for Solving Nonlinear Projection Equations.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Neural Network Realization of Support Vector Methods for Pattern Classification.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
A linear assignment clustering algorithm based on the least similar cluster representatives.
IEEE Trans. Syst. Man Cybern. Part A, 1999

Recurrent neural networks for minimum infinity-norm kinematic control of redundant manipulators.
IEEE Trans. Syst. Man Cybern. Part A, 1999

A Lagrangian network for kinematic control of redundant robot manipulators.
IEEE Trans. Neural Networks, 1999

A recurrent neural network for real-time semidefinite programming.
IEEE Trans. Neural Networks, 1999

Primal neural networks for solving convex quadratic programs.
Proceedings of the International Joint Conference Neural Networks, 1999

An improved neurocomputation scheme for minimum infinity-norm kinematic control of redundant manipulators.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Primal and dual neural networks for shortest-path routing.
IEEE Trans. Syst. Man Cybern. Part A, 1998

A general methodology for designing globally convergent optimization neural networks.
IEEE Trans. Neural Networks, 1998

Analysis and design of primal-dual assignment networks.
IEEE Trans. Neural Networks, 1998

A multilayer recurrent neural network for solving continuous-time algebraic Riccati equations.
Neural Networks, 1998

Blind Identification and Signal Separation of Two-Input Two-Output FIR Systems.
Multidimens. Syst. Signal Process., 1998

Neural networks for solving least absolute and related problems.
Neurocomputing, 1998

A two-layer recurrent neural network for real-time control of redundant manipulators with torque minimization.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

A FPGA-Based Custom Computing System for Solving the Assignment Problem.
Proceedings of the 6th IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM '98), 1998

1997
Primal and dual assignment networks.
IEEE Trans. Neural Networks, 1997

A dual neural network for shortest-path routing.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996
A multilayer recurrent neural network for on-line synthesis of minimum-norm linear feedback control systems via pole assignment.
Autom., 1996

1995
Analysis and design of an analog sorting network.
IEEE Trans. Neural Networks, 1995

Author's response.
Neural Networks, 1995

Neural Network Approaches to fast and Low Rate Vector Quantization.
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

Analysis of learning vector quantization algorithms for pattern classification.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
A deterministic annealing neural network for convex programming.
Neural Networks, 1994

Solving Simultaneous Linear Equations Using Recurrent Neural Networks.
Inf. Sci., 1994

A Neural Network Approach to Multiple Criteria Decision Making Based on Fuzzy Preference Information.
Inf. Sci., 1994

Artificial neural networks versus natural neural networks: A connectionist paradigm for preference assessment.
Decis. Support Syst., 1994

A neural network approach to modeling fuzzy preference relations for multiple criteria decision making.
Comput. Oper. Res., 1994

A Recurrent Neural Network for Solving the Shortest Path Problem.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

Recurrent Neural Networks for Synthesizing Linear Control Systems via Pole Placement.
Proceedings of the Sixth International Conference on Tools with Artificial Intelligence, 1994

A new competitive learning algorithm for vector quantization.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993
Characterization of training errors in supervised learning using gradient-based rules.
Neural Networks, 1993

Computing Optical Flow with A Recurrent Neural Network.
Int. J. Pattern Recognit. Artif. Intell., 1993

1992
A feedforward neural network for multiple criteria decision making.
Comput. Oper. Res., 1992

Recurrent neural networks for linear programming: Analysis and design principles.
Comput. Oper. Res., 1992

1991
Neurally-inspired stochastic algorithm for determining multi-stage multi-attribute sampling inspection plans.
J. Intelligent Manufacturing, 1991


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