Jun Wang
According to our database^{1},
Jun Wang
authored at least 297 papers
between 1991 and 2020.
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Bibliography
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 statedependent switching.
Neural Networks, 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
Multistability of Switched Neural Networks With Piecewise Linear Activation Functions Under StateDependent Switching.
IEEE Trans. Neural Networks Learn. Syst., 2019
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
PathFollowing Control of Autonomous Underwater Vehicles Subject to Velocity and Input Constraints via Neurodynamic Optimization.
IEEE Trans. Ind. Electron., 2019
IEEE Trans. Autom. Control., 2019
CooperativeCompetitive Multiagent Systems for Distributed Minimax Optimization Subject to Bounded Constraints.
IEEE Trans. Autom. Control., 2019
Neural Networks, 2019
Proceedings of the Advances in Neural Networks  ISNN 2019, 2019
Proceedings of the Advances in Neural Networks  ISNN 2019, 2019
2018
OutputFeedback PathFollowing 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 TimeVarying Delays.
IEEE Trans. Neural Networks Learn. Syst., 2018
A Collaborative Neurodynamic Approach to MultipleObjective Distributed Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Multistability of Recurrent Neural Networks With Nonmonotonic Activation Functions and Unbounded TimeVarying Delays.
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
A TwoPhase 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 discretetime projection neural network.
Neural Networks, 2018
Classification of PolSAR Images Based on Adaptive Nonlocal Stacked Sparse Autoencoder.
IEEE Geosci. Remote. Sens. Lett., 2018
Proceedings of the Advances in Neural Networks  ISNN 2018, 2018
Proceedings of the Advances in Neural Networks  ISNN 2018, 2018
NeurodynamicsBased Distributed Receding Horizon Trajectory Generation for Autonomous Surface Vehicles.
Proceedings of the Neural Information Processing  25th International Conference, 2018
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
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
IEEE Trans. Neural Networks Learn. Syst., 2017
IEEE Trans. Neural Networks Learn. Syst., 2017
PredictorBased Neural Dynamic Surface Control for Uncertain Nonlinear Systems in StrictFeedback Form.
IEEE Trans. Neural Networks Learn. Syst., 2017
IEEE Trans. Neural Networks Learn. Syst., 2017
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 NeurodynamicsBased Output Feedback.
IEEE Trans. Ind. Electron., 2017
A MultiAgent System With a ProportionalIntegral 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
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 fractionalorder 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 BiProjection 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
TubeBased 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 nonmonotonic activation functions and timevarying delays.
Neural Networks, 2016
Global synchronization of memristive neural networks subject to random disturbances via distributed pinning control.
Neural Networks, 2016
Neurocomputing, 2016
Spectralspatial Classification of Hyperspectral Image Based on Locality Preserving Discriminant Analysis.
Proceedings of the Advances in Neural Networks  ISNN 2016, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016
2015
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 MemristorBased Recurrent Neural Networks With Time Delays via Static or Dynamic Coupling.
IEEE Trans. Syst. Man Cybern. Syst., 2015
A ComplexValued Projection Neural Network for Constrained Optimization of Real Functions in Complex Variables.
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
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
IEEE Trans. Control. Netw. Syst., 2015
A SecondOrder MultiAgent Network for BoundConstrained Distributed Optimization.
IEEE Trans. Autom. Control., 2015
Lowdimensional recurrent neural networkbased Kalman filter for speech enhancement.
Neural Networks, 2015
Convergence and attractivity of memristorbased cellular neural networks with time delays.
Neural Networks, 2015
Neural Networks, 2015
Global exponential periodicity and stability of discretetime complexvalued recurrent neural networks with timedelays.
Neural Networks, 2015
Neurocomputing, 2015
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
OneLayer Continuousand DiscreteTime 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 MemristorBased Recurrent Neural Networks With TimeVarying Delays.
IEEE Trans. Neural Networks Learn. Syst., 2014
Attractivity Analysis of MemristorBased Cellular Neural Networks With TimeVarying Delays.
IEEE Trans. Neural Networks Learn. Syst., 2014
Cooperative Coevolution for LargeScale Optimization Based on Kernel Fuzzy Clustering and Variable Trust Region Methods.
IEEE Trans. Fuzzy Syst., 2014
IEEE Trans. Cybern., 2014
A collective neurodynamic optimization approach to boundconstrained nonconvex optimization.
Neural Networks, 2014
A onelayer recurrent neural network for constrained nonsmooth invex optimization.
Neural Networks, 2014
A systematic method for analyzing robust stability of interval neural networks with timedelays 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
NeurodynamicsBased Model Predictive Control for Trajectory Tracking of Autonomous Underwater Vehicles.
Proceedings of the Advances in Neural Networks  ISNN 2014, 2014
Proceedings of the Advances in Neural Networks  ISNN 2014, 2014
PolSAR Image Segmentation Based on the Modified Nonnegative Matrix Factorization and Support Vector Machine.
Proceedings of the Advances in Neural Networks  ISNN 2014, 2014
Neurodynamicsbased robust pole assignment for synthesizing secondorder 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 multirobot formation based on the simplified dual neural network.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Neurodynamicsbased model predictive control of autonomous underwater vehicles in vertical plane.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Neurodynamicsbased robust eigenstructure assignment for secondorder descriptor systems.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Oil spill GF1 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 OneLayer 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 memristorbased recurrent neural networks with timevarying 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 twolayer 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
IEEE Trans. Neural Networks Learn. Syst., 2012
IEEE Trans. Neural Networks Learn. Syst., 2012
Solving the Assignment Problem Using ContinuousTime and DiscreteTime 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 onelayer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization.
Neural Networks, 2012
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 twopass clustering algorithm based on linear assignment initialization and kmeans 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
IEEE Trans. Syst. Man Cybern. Part B, 2011
FiniteTime Convergent Recurrent Neural Network With a HardLimiting Activation Function for Constrained Optimization With PiecewiseLinear 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 OneLayer 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
Proceedings of the Advances in Neural Networks  ISNN 2011, 2011
A onelayer recurrent neural network for constrained singleratio linear fractional programming.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011
Robust model predictive control of nonlinear affine systems based on a twolayer recurrent neural network.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
A OneLayer 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
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011
2010
Analysis and design of a kwinnerstakeall 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
Proceedings of the IEEE International Conference on Systems, 2010
Parametric Sensitivity and Scalability of <i>k</i>WinnersTakeAll Networks with a Single State Variable and InfinityGain Activation Functions.
Proceedings of the Advances in Neural Networks, 2010
Global uniform asymptotic stability of memristorbased 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 OneLayer Dual Neural Network with a Unipolar HardLimiting Activation Function for ShortestPath Routing.
Proceedings of the Artificial Neural Networks, 2010
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 NonProperties.
IEEE Trans. Speech Audio Process., 2009
Single point iterative weighted fuzzy Cmeans clustering algorithm for remote sensing image segmentation.
Pattern Recognit., 2009
Associative memories based on continuoustime cellular neural networks designed using spaceinvariant cloning templates.
Neural Networks, 2009
Journal of Multimedia, 2009
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 BrainStateinaBox neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2009
Analysis and design of associative memories based on cellular neural networks with spaceinvariant cloning templates.
Proceedings of the International Joint Conference on Neural Networks, 2009
Global Exponential Stability of Recurrent Neural Networks with TimeDependent 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 HighCapacity Associative Memories Based on a Class of DiscreteTime 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 TimeVarying Delays.
IEEE Trans. Neural Networks, 2008
A OneLayer Recurrent Neural Network With a Discontinuous HardLimiting 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 kWinnersTakeAll Application.
IEEE Trans. Neural Networks, 2008
IEEE Trans. Circuits Syst. I Regul. Pap., 2008
Neural Networks, 2008
A OneLayer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming.
Neural Computation, 2008
Neurocomputing, 2008
Interface assignment and bandwidth allocation for multichannel wireless mesh networks.
Comput. Commun., 2008
Joint bandwidth allocation, element assignment and scheduling for wireless mesh networks with MIMO links.
Comput. Commun., 2008
Proceedings of the Advances in Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
An efficient centralized scheduling algorithm for IEEE 802.16 multiradio mesh networks.
Proceedings of the 2nd International Conference on Ubiquitous Information Management and Communication, 2008
A OneLayer Recurrent Neural Network for Nonsmooth Convex Optimization Subject to Linear Equality Constraints.
Proceedings of the Advances in NeuroInformation 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
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
NoiseInduced Stabilization of the Recurrent Neural Networks With Mixed TimeVarying Delays and MarkovianSwitching Parameters.
IEEE Trans. Neural Networks, 2007
Solving Generally Constrained Generalized Linear Variational Inequalities Using the General Projection Neural Networks.
IEEE Trans. Neural Networks, 2007
IEEE Trans. Circuits Syst. I Regul. Pap., 2007
An LMI approach to global asymptotic stability of the delayed CohenGrossberg 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 timevarying delays.
Neural Networks, 2007
Analysis and Design of Associative Memories Based on Recurrent Neural Networks with Linear Saturation Activation Functions and TimeVarying 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 Onelayer Recurrent Neural Network with a Unipolar Hardlimiting Activation Function for kWinnersTakeAll Operation.
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Solving the kWinnersTakeAll Problem and the Oligopoly CournotNash Equilibrium Problem Using the General Projection Neural Networks.
Proceedings of the Neural Information Processing, 14th International Conference, 2007
Proceedings of the Algorithms and Architectures for Parallel Processing, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Multiperiodicity of DiscreteTime Delayed Neural Networks Evoked by Periodic External Inputs.
IEEE Trans. Neural Networks, 2006
Improved conditions for global exponential stability of recurrent neural networks with timevarying 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
IEEE Trans. Circuits Syst. I Regul. Pap., 2006
IEEE Trans. Circuits Syst. I Regul. Pap., 2006
Global exponential stability of recurrent neural networks with timevarying 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 DiscreteTime Cellular Neural Networks with OneDimensional SpaceInvariant 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
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006
Synthesis of Bipolar Associative Memories Based on Cellular Neural Networks with Twodimensional Spaceinvariant Templates.
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
A Recurrent Neural Network for Nonsmooth 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 primaldual 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 timevarying delays.
IEEE Trans. Neural Networks, 2005
Global asymptotic stability and global exponential stability of neural networks with unbounded timevarying 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
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
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
Graspingforce 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 VapnikChervonenkis 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 continuoustime recurrent neural networks with timevarying thresholds.
IEEE Trans. Circuits Syst. II Express Briefs, 2004
Blind source extraction from convolutive mixtures in illconditioned multiinput multioutput 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 Lipschitzcontinuous activation functions and time delays.
Neural Networks, 2004
Sci. China Ser. F Inf. Sci., 2004
Appl. Math. Comput., 2004
A Dual Neural Network for Bicriteria Torque Optimization of Redundant Robot Manipulators.
Proceedings of the Neural Information Processing, 11th International Conference, 2004
2003
IEEE Trans. Robotics Autom., 2003
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 continuoustime 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 TimeVarying Delays.
Int. J. Neural Syst., 2003
Int. J. Neural Syst., 2003
Formation of machine cells and part families in cellular manufacturing systems using a linear assignment algorithm.
Autom., 2003
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003
2002
A multistage selforganizing algorithm combined transiently chaotic neural network for cellular channel assignment.
IEEE Trans. Veh. Technol., 2002
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 bicriteria 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 timevarying coefficients.
IEEE Trans. Neural Networks, 2002
Global asymptotic stability and global exponential stability of continuoustime recurrent neural networks.
IEEE Trans. Autom. Control., 2002
Augmented gradient flows for online robust pole assignment via state and output feedback.
Autom., 2002
A gradient flow approach to online robust pole assignment for synthesizing output feedback control systems.
Autom., 2002
2001
IEEE Trans. Syst. Man Cybern. Part B, 2001
A recurrent neural network for minimum infinitynorm kinematic control of redundant manipulators with an improved problem formulation and reduced architecture complexity.
IEEE Trans. Syst. Man Cybern. Part B, 2001
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
Autom., 2001
Quadratic stabilizability of a new class of linear systems with structural independent timevarying 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
Realtime 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
IEEE Trans. Neural Networks Learn. Syst., 2000
Online learning of dynamical systems in the presence of model mismatch and disturbances.
IEEE Trans. Neural Networks Learn. Syst., 2000
IEEE Trans. Autom. Control., 2000
On stabilization of a new class of linear timeinvariant interval systems via constant state feedback control.
IEEE Trans. Autom. Control., 2000
Neural Networks, 2000
Int. J. Neural Syst., 2000
Proceedings of the IEEEINNSENNS International Joint Conference on Neural Networks, 2000
Proceedings of the IEEEINNSENNS 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 infinitynorm kinematic control of redundant manipulators.
IEEE Trans. Syst. Man Cybern. Part A, 1999
IEEE Trans. Neural Networks, 1999
IEEE Trans. Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
An improved neurocomputation scheme for minimum infinitynorm kinematic control of redundant manipulators.
Proceedings of the International Joint Conference Neural Networks, 1999
1998
IEEE Trans. Syst. Man Cybern. Part A, 1998
A general methodology for designing globally convergent optimization neural networks.
IEEE Trans. Neural Networks, 1998
IEEE Trans. Neural Networks, 1998
A multilayer recurrent neural network for solving continuoustime algebraic Riccati equations.
Neural Networks, 1998
Multidimens. Syst. Signal Process., 1998
Neurocomputing, 1998
A twolayer recurrent neural network for realtime control of redundant manipulators with torque minimization.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998
Proceedings of the 6th IEEE Symposium on FieldProgrammable Custom Computing Machines (FCCM '98), 1998
1997
IEEE Trans. Neural Networks, 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1996
A multilayer recurrent neural network for online synthesis of minimumnorm linear feedback control systems via pole assignment.
Autom., 1996
1995
IEEE Trans. Neural Networks, 1995
Neural Networks, 1995
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995
Proceedings of the 1995 International Conference on Acoustics, 1995
1994
Neural Networks, 1994
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
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
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994
1993
Characterization of training errors in supervised learning using gradientbased rules.
Neural Networks, 1993
Int. J. Pattern Recognit. Artif. Intell., 1993
1992
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