Jun Wang
Orcid: 0000-0002-1305-5735Affiliations:
- City University of Hong Kong, Department of Computer Science, Hong Kong
- The Chinese University of Hong Kong, Department of Mechanical and Automation Engineering, Hong Kong (1995 - 2015)
- University of North Dakota, Grand Forks, ND, USA (1990 - 1997)
- Case Western Reserve University, Cleveland, OH, USA (PhD 1991)
According to our database1,
Jun Wang
authored at least 384 papers
between 1991 and 2024.
Collaborative distances:
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Online presence:
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on zbmath.org
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on scopus.com
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on cityu.edu.hk
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on orcid.org
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on d-nb.info
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on dl.acm.org
On csauthors.net:
Bibliography
2024
A Collaborative Neurodynamic Optimization Approach to Distributed Nash-Equilibrium Seeking in Multicluster Games With Nonconvex Functions.
IEEE Trans. Cybern., May, 2024
Distributed Chiller Loading via Collaborative Neurodynamic Optimization With Heterogeneous Neural Networks.
IEEE Trans. Syst. Man Cybern. Syst., April, 2024
From Soft Clustering to Hard Clustering: A Collaborative Annealing Fuzzy $c$-Means Algorithm.
IEEE Trans. Fuzzy Syst., March, 2024
Evolving Dual-Threshold Bienenstock-Cooper-Munro Learning Rules in Echo State Networks.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
A Specified-Time Convergent Multiagent System for Distributed Optimization With a Time-Varying Objective Function.
IEEE Trans. Autom. Control., February, 2024
An event-triggered collaborative neurodynamic approach to distributed global optimization.
Neural Networks, January, 2024
Two-timescale projection neural networks in collaborative neurodynamic approaches to global optimization and distributed optimization.
Neural Networks, January, 2024
Receding-Horizon Chiller Operation Planning via Collaborative Neurodynamic Optimization.
IEEE Trans. Smart Grid, 2024
2023
Cooperative Differential Evolution With an Attention-Based Prediction Strategy for Dynamic Multiobjective Optimization.
IEEE Trans. Syst. Man Cybern. Syst., December, 2023
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Two Recurrent Neural Networks With Reduced Model Complexity for Constrained l₁-Norm Optimization.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Event-Triggered Cardinality-Constrained Cooling and Electrical Load Dispatch Based on Collaborative Neurodynamic Optimization.
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Fault-Tolerant Control of Autonomous Surface Vessels Subject to Steer Jamming for Harbor Returning.
IEEE Trans. Ind. Electron., September, 2023
Event-Triggered Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization.
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Neural Networks, August, 2023
Safety-Certified Constrained Control of Maritime Autonomous Surface Ships for Automatic Berthing.
IEEE Trans. Veh. Technol., July, 2023
Safety-Critical Containment Maneuvering of Underactuated Autonomous Surface Vehicles Based on Neurodynamic Optimization With Control Barrier Functions.
IEEE Trans. Neural Networks Learn. Syst., June, 2023
IEEE Trans. Syst. Man Cybern. Syst., May, 2023
Multistability of Fuzzy Neural Networks With Rectified Linear Units and State-Dependent Switching Rules.
IEEE Trans. Fuzzy Syst., May, 2023
Fractional-Order Vectorial Halanay-Type Inequalities With Applications for Stability and Synchronization Analyses.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023
An Overview of the Stability Analysis of Recurrent Neural Networks With Multiple Equilibria.
IEEE Trans. Neural Networks Learn. Syst., March, 2023
IEEE Trans. Ind. Informatics, March, 2023
Constrained Control of Autonomous Surface Vehicles for Multitarget Encirclement via Fuzzy Modeling and Neurodynamic Optimization.
IEEE Trans. Fuzzy Syst., March, 2023
Multistability of Fuzzy Neural Networks With a General Class of Activation Functions and State-Dependent Switching Rules.
IEEE Trans. Fuzzy Syst., February, 2023
CAPKM++2.0: An upgraded version of the collaborative annealing power k-means++ clustering algorithm.
Knowl. Based Syst., February, 2023
Barrier-Certified Distributed Model Predictive Control of Under-Actuated Autonomous Surface Vehicles via Neurodynamic Optimization.
IEEE Trans. Syst. Man Cybern. Syst., 2023
Advances in Line-of-Sight Guidance for Path Following of Autonomous Marine Vehicles: An Overview.
IEEE Trans. Syst. Man Cybern. Syst., 2023
IEEE Trans. Syst. Man Cybern. Syst., 2023
IEEE Trans. Netw. Sci. Eng., 2023
Flexible Formation Tracking Control of Multiple Unmanned Surface Vessels for Navigating Through Narrow Channels with Unknown Curvatures.
IEEE Trans. Ind. Electron., 2023
A Self-Supervised Transformer With Feature Fusion for SAR Image Semantic Segmentation in Marine Aquaculture Monitoring.
IEEE Trans. Geosci. Remote. Sens., 2023
Cooperative Particle Swarm Optimization With a Bilevel Resource Allocation Mechanism for Large-Scale Dynamic Optimization.
IEEE Trans. Cybern., 2023
Neural Networks, 2023
Neural Networks, 2023
2022
IEEE Trans. Veh. Technol., 2022
Finite-Time and Fixed-Time Synchronization of Coupled Switched Neural Networks Subject to Stochastic Disturbances.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Spiking Neural Network Regularization With Fixed and Adaptive Drop-Keep Probabilities.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Hash Bit Selection via Collaborative Neurodynamic Optimization With Discrete Hopfield Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022
Multistability of Switched Neural Networks With Gaussian Activation Functions Under State-Dependent Switching.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Cybern., 2022
Matrix-Form Neural Networks for Complex-Variable Basis Pursuit Problem With Application to Sparse Signal Reconstruction.
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
Decentralized Robust Portfolio Optimization Based on Cooperative-Competitive Multiagent Systems.
IEEE Trans. Cybern., 2022
A one-layer recurrent neural network for nonsmooth pseudoconvex optimization with quasiconvex inequality and affine equality constraints.
Neural Networks, 2022
Boolean matrix factorization based on collaborative neurodynamic optimization with Boltzmann machines.
Neural Networks, 2022
Cardinality-constrained portfolio selection via two-timescale duplex neurodynamic optimization.
Neural Networks, 2022
Cardinality-constrained portfolio selection based on collaborative neurodynamic optimization.
Neural Networks, 2022
Neural Networks, 2022
MDOAU-Net: A Lightweight and Robust Deep Learning Model for SAR Image Segmentation in Aquaculture Raft Monitoring.
IEEE Geosci. Remote. Sens. Lett., 2022
Knowl. Based Syst., 2022
Receding-Horizon Trajectory Planning for Under-Actuated Autonomous Vehicles Based on Collaborative Neurodynamic Optimization.
IEEE CAA J. Autom. Sinica, 2022
A Scalable Adaptive Approach to Multi-Vehicle Formation Control with Obstacle Avoidance.
IEEE CAA J. Autom. Sinica, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
Multivehicle Task Assignment Based on Collaborative Neurodynamic Optimization With Discrete Hopfield Networks.
IEEE Trans. Neural Networks Learn. Syst., 2021
Data-Driven Adaptive Disturbance Observers for Model-Free Trajectory Tracking Control of Maritime Autonomous Surface Ships.
IEEE Trans. Neural Networks Learn. Syst., 2021
Multiple and Complete Stability of Recurrent Neural Networks With Sinusoidal Activation Function.
IEEE Trans. Neural Networks Learn. Syst., 2021
Minimax and Biobjective Portfolio Selection Based on Collaborative Neurodynamic Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2021
Global Exponential Synchronization of Coupled Delayed Memristive Neural Networks With Reaction-Diffusion Terms via Distributed Pinning Controls.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
An Overview of Recent Advances in Coordinated Control of Multiple Autonomous Surface Vehicles.
IEEE Trans. Ind. Informatics, 2021
Event-Triggered Dynamic Surface Control of an Underactuated Autonomous Surface Vehicle for Target Enclosing.
IEEE Trans. Ind. Electron., 2021
Multiple-Target Surrounding and Collision Avoidance With Second-Order Nonlinear Multiagent Systems.
IEEE Trans. Ind. Electron., 2021
Output-Feedback Flocking Control of Multiple Autonomous Surface Vehicles Based on Data-Driven Adaptive Extended State Observers.
IEEE Trans. Cybern., 2021
Two-timescale neurodynamic approaches to supervised feature selection based on alternative problem formulations.
Neural Networks, 2021
A neurodynamic optimization approach to supervised feature selection via fractional programming.
Neural Networks, 2021
Multi-periodicity of switched neural networks with time delays and periodic external inputs under stochastic disturbances.
Neural Networks, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Secrecy Capacity Maximization in Wireless Wiretap Channel: A Neurodynamic Optimization Approach.
Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021
2020
Multistability of Recurrent Neural Networks With Piecewise-Linear Radial Basis Functions and State-Dependent Switching Parameters.
IEEE Trans. Syst. Man Cybern. Syst., 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
Asymptotic and Finite-Time Cluster Synchronization of Coupled Fractional-Order Neural Networks With Time Delay.
IEEE Trans. Neural Networks Learn. Syst., 2020
Multistability of switched neural networks with sigmoidal activation functions under state-dependent switching.
Neural Networks, 2020
A Discrete-Time Neurodynamic Approach to Sparsity-Constrained Nonnegative Matrix Factorization.
Neural Comput., 2020
Dynamically Weighted Model Predictive Control of Affine Nonlinear Systems Based on Two-Timescale Neurodynamic Optimization.
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020
2019
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
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
IEEE Trans. Autom. Control., 2019
Cooperative-Competitive 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
A Collaborative Neurodynamic Optimization Approach to Bicriteria Portfolio Selection.
Proceedings of the Advances in Neural Networks - ISNN 2019, 2019
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
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
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
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
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
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Collaborative Neurodynamic Optimization: Biologically and Socially Plausible Approaches to Distributed, Global and Multiple-objective Optimization.
Proceedings of the 5th International Conference on Control, 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
Predictor-Based Neural Dynamic Surface Control for Uncertain Nonlinear Systems in Strict-Feedback Form.
IEEE Trans. Neural Networks Learn. Syst., 2017
IEEE Trans. Neural Networks Learn. Syst., 2017
IEEE Trans. Neural Networks Learn. Syst., 2017
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 Comput., 2017
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
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
Neurocomputing, 2016
Spectral-spatial 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 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
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
IEEE Trans. Autom. Control., 2015
Neural Networks, 2015
Convergence and attractivity of memristor-based cellular neural networks with time delays.
Neural Networks, 2015
Neural Networks, 2015
Global exponential periodicity and stability of discrete-time complex-valued recurrent neural networks with time-delays.
Neural Networks, 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
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
A collective neurodynamic optimization approach to bound-constrained nonconvex optimization.
Neural Networks, 2014
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
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
IEEE Trans. Neural Networks Learn. Syst., 2012
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
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
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
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
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
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 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
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
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
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
Int. J. Pervasive Comput. Commun., 2009
2008 IEEE World Congress on Computational Intelligence (WCCI 2008) [Conference Reports].
IEEE Comput. Intell. Mag., 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
IEEE Trans. Circuits Syst. I Regul. Pap., 2008
Neural Networks, 2008
A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming.
Neural Comput., 2008
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
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 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
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
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
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 Comput., 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
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
Proceedings of the Algorithms and Architectures for Parallel Processing, 2007
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
IEEE Trans. Circuits Syst. I Regul. Pap., 2006
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 Comput., 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
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
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
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
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
Sci. China Ser. F Inf. Sci., 2004
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
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 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
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 self-organizing 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
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
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
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
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
Proceedings of the 2001 Congress on Evolutionary Computation, 2001
2000
Two recurrent neural networks for local joint torque optimization of kinematically redundant manipulators.
IEEE Trans. Syst. Man Cybern. Part B, 2000
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
On-line 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 time-invariant interval systems via constant state feedback control.
IEEE Trans. Autom. Control., 2000
Neural Networks, 2000
Int. J. Neural Syst., 2000
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Global asymptotic stability of a class of dynamic neural systems with asymmetric connection weights.
Proceedings of the 39th IEEE Conference on Decision and Control, 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
IEEE Trans. Neural Networks, 1999
IEEE Trans. Neural Networks, 1999
Proceedings of the International Joint Conference Neural Networks, 1999
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
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 continuous-time algebraic Riccati equations.
Neural Networks, 1998
Multidimens. Syst. Signal Process., 1998
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
Proceedings of the 6th IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM '98), 1998
1997
SIAM J. Sci. Comput., 1997
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
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 gradient-based rules.
Neural Networks, 1993
Int. J. Pattern Recognit. Artif. Intell., 1993
1992
Comput. Oper. Res., 1992
Comput. Oper. Res., 1992
1991
Neurally-inspired stochastic algorithm for determining multi-stage multi-attribute sampling inspection plans.
J. Intell. Manuf., 1991
Int. J. Pattern Recognit. Artif. Intell., 1991