Wen Yu

According to our database1, Wen Yu
  • authored at least 175 papers between 1998 and 2018.
  • has a "Dijkstra number"2 of five.

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Bibliography

2018
Combinatorial optimization of input features and learning parameters for decorrelated neural network ensemble-based soft measuring model.
Neurocomputing, 2018

2017
Continuous-time path planning for multi-agents with fuzzy reinforcement learning.
Journal of Intelligent and Fuzzy Systems, 2017

Recent advances and applications in neural networks and intelligent control.
Neurocomputing, 2017

Modeling collinear data using double-layer GA-based selective ensemble kernel partial least squares algorithm.
Neurocomputing, 2017

Path planning of multi-agent systems in unknown environment with neural kernel smoothing and reinforcement learning.
Neurocomputing, 2017

Data-Driven Fuzzy Modeling Using Deep Learning.
CoRR, 2017

Probability based fuzzy modeling.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Fuzzy Modeling from Black-Box Data with Deep Learning Techniques.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2016
A Comparative Study That Measures Ball Mill Load Parameters Through Different Single-Scale and Multiscale Frequency Spectra-Based Approaches.
IEEE Trans. Industrial Informatics, 2016

Structural Health Monitoring of Building Structures With Online Data Mining Methods.
IEEE Systems Journal, 2016

Randomized algorithms for nonlinear system identification with deep learning modification.
Inf. Sci., 2016

Sliding mode control of wind-induced vibrations using fuzzy sliding surface and gain adaptation.
Int. J. Systems Science, 2016

Kernel latent features adaptive extraction and selection method for multi-component non-stationary signal of industrial mechanical device.
Neurocomputing, 2016

Robot trajectory generation using modified hidden Markov model and Lloyd's algorithm in joint space.
Eng. Appl. of AI, 2016

Novel Autonomous Navigation Algorithms in Dynamic and Unknown Environments.
Cybernetics and Systems, 2016

Ellipsoid SLAM: a novel set membership method for simultaneous localization and mapping.
Auton. Robots, 2016

Fuzzy Differential Equations for Nonlinear System Modeling With Bernstein Neural Networks.
IEEE Access, 2016

Nonlinear system modeling with deep neural networks and autoencoders algorithm.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Solving fuzzy differential equation with Bernstein neural networks.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Hierarchical dynamic neural networks for cascade system modeling with application to wastewater treatment.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Stability analysis of wireless networked control with time-varying sampling period.
Proceedings of the 13th IEEE International Conference on Networking, Sensing, and Control, 2016

Fuzzy output feedback control via sliding mode observer.
Proceedings of the 13th IEEE International Conference on Networking, Sensing, and Control, 2016

Dynamic feedforward network architecture design based on information entropy.
Proceedings of the 13th International Conference on Electrical Engineering, 2016

2015
Neural Feedback Passivity of Unknown Nonlinear Systems via Sliding Mode Technique.
IEEE Trans. Neural Netw. Learning Syst., 2015

Fuzzy control for uncertainty nonlinear systems with dual fuzzy equations.
Journal of Intelligent and Fuzzy Systems, 2015

Guest Editorial: Special issue on computational intelligence for industrial data processing and analysis.
Neurocomputing, 2015

Multi-frequency signal modeling using empirical mode decomposition and PCA with application to mill load estimation.
Neurocomputing, 2015

Human behavior learning for robot in joint space.
Neurocomputing, 2015

Uncertainty Nonlinear Systems Control with Fuzzy Equations.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Uncertainty Nonlinear Systems Modeling with Fuzzy Equations.
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

Detection of building structure damage with support vector machine.
Proceedings of the 12th IEEE International Conference on Networking, Sensing and Control, 2015

Restricted Boltzmann Machine for Nonlinear System Modeling.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

A 3-D hand rehabilitation system using haptic device.
Proceedings of the 12th International Conference on Electrical Engineering, 2015

Bipedal walking control in dynamic environment using data mining techniques.
Proceedings of the 12th International Conference on Electrical Engineering, 2015

Artificial neural network approach for solving strongly degenerate parabolic and burgers-fisher equations.
Proceedings of the 12th International Conference on Electrical Engineering, 2015

Path planning in unknown environment with kernel smoothing and reinforcement learning for multi-agent systems.
Proceedings of the 12th International Conference on Electrical Engineering, 2015

Data Stream Classification for Structural Health Monitoring via On-Line Support Vector Machines.
Proceedings of the First IEEE International Conference on Big Data Computing Service and Applications, 2015

2014
Fast Support Vector Machine Classification for Large Data Sets.
Int. J. Computational Intelligence Systems, 2014

Stable Neural Pid Anti-Swing Control For An Overhead Crane.
Intelligent Automation & Soft Computing, 2014

Support vector machine classification for large datasets using decision tree and Fisher linear discriminant.
Future Generation Comp. Syst., 2014

Imbalanced data classification via support vector machines and genetic algorithms.
Connect. Sci., 2014

Novel autonomous navigation algorithms in dynamic and unknown environments.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Multi-agent path planning in unknown environment with reinforcement learning and neural network.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Trajectory generation in joint space using modified hidden Markov model.
Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014

Hybrid neural networks for gasoline blending system modeling.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Numerical integrator for inertial sensors in smartphone with application to tele-manipulation of robot.
Proceedings of 11th IEEE International Conference on Networking, Sensing and Control, 2014

Fuzzy sliding surface control of wind-induced vibration.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Wind turbine modeling with the slopes algorithm.
Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

Wind turbine modeling with an analytic algorithm.
Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

Ellipsoid method for Simultaneous Localization and Mapping of mobile robot.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Mobile robot navigation in dynamic and unknown environments.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013
Neural PID Control of Robot Manipulators With Application to an Upper Limb Exoskeleton.
IEEE Trans. Cybernetics, 2013

Modeling Load Parameters of Ball Mill in Grinding Process Based on Selective Ensemble Multisensor Information.
IEEE Trans. Automation Science and Engineering, 2013

Large data sets classification using convex-concave hull and support vector machine.
Soft Comput., 2013

On-line modeling via fuzzy support vector machines and neural networks.
Journal of Intelligent and Fuzzy Systems, 2013

A novel PID tuning method for robot control.
Industrial Robot, 2013

Convex and concave hulls for classification with support vector machine.
Neurocomputing, 2013

Advances in modeling and vibration control of building structures.
Annual Reviews in Control, 2013

Smartphone-Based Human Machine Interface with Application to Remote Control of Robot Arm.
Proceedings of the IEEE International Conference on Systems, 2013

Using Genetic Algorithm to Improve Classification Accuracy on Imbalanced Data.
Proceedings of the IEEE International Conference on Systems, 2013

Robust feedback passivity via dynamic neural networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

A New Approach to Detect Splice-Sites Based on Support Vector Machines and a Genetic Algorithm.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

Neural passivity control of nonlinear multivariable systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Robust observers for a class of uncertainty nonlinear systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Neural PID admittance control of a robot.
Proceedings of the American Control Conference, 2013

Stable neural PID anti-swing control for an overhead crane.
Proceedings of the 2013 IEEE International Symposium on Intelligent Control, 2013

2012
Modeling Component Concentrations of Sodium Aluminate Solution Via Hammerstein Recurrent Neural Networks.
IEEE Trans. Contr. Sys. Techn., 2012

Two Types of Haar Wavelet Neural Networks for Nonlinear System Identification.
Neural Processing Letters, 2012

On-line principal component analysis with application to process modeling.
Neurocomputing, 2012

Soft sensor for parameters of mill load based on multi-spectral segments PLS sub-models and on-line adaptive weighted fusion algorithm.
Neurocomputing, 2012

Fast classification for large data sets via random selection clustering and Support Vector Machines.
Intell. Data Anal., 2012

Anti-Swing Control For An Overhead Crane With Fuzzy Compensation.
Intelligent Automation & Soft Computing, 2012

Selective Ensemble Modeling Parameters of Mill Load Based on Shell Vibration Signal.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

A novel numerical integrator for structural control and monitoring.
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012

Data Selection Using Decision Tree for SVM Classification.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Convex-Concave Hull for Classification with Support Vector Machine.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Stable PID control for robot manipulators with neural compensation.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Haar wavelet neural networks for nonlinear system identification.
Proceedings of the 2012 IEEE International Symposium on Intelligent Control, 2012

Robot PD control with parallel/serial neural network and sliding mode compensations.
Proceedings of the IEEE International Conference on Control Applications, 2012

2011
Two-stage neural sliding-mode control of magnetic levitation in minimal invasive surgery.
Neural Computing and Applications, 2011

PCA and neural networks-based soft sensing strategy with application in sodium aluminate solution.
J. Exp. Theor. Artif. Intell., 2011

Stable adaptive compensation with fuzzy CMAC for an overhead crane.
Inf. Sci., 2011

Automated nonlinear system modelling with multiple neural networks.
Int. J. Systems Science, 2011

Border Samples Detection for Data Mining Applications Using Non Convex Hulls.
Proceedings of the Advances in Soft Computing, 2011

Neural PD control with second-order sliding mode compensation for robot manipulators.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Optimization of fixed Wavelet Neural Networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Modeling and neuro control for multicomponent nonideal distillation column.
Proceedings of the 9th IEEE International Conference on Control and Automation, 2011

A systematic tunning method of PID controller for robot manipulators.
Proceedings of the 9th IEEE International Conference on Control and Automation, 2011

Modeling via on-line clustering and fuzzy support vector machines for nonlinear system.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

KPCA based multi-spectral segments feature extraction and GA based Combinatorial optimization for frequency spectrum data modeling.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Modeling of Crude Oil Blending via Discrete-Time Neural Networks.
Proceedings of the Applications of Neural Networks in High Assurance Systems, 2010

Fuzzy modelling via on-line support vector machines.
Int. J. Systems Science, 2010

Modeling and Adaptive Control with Fuzzy Neural Networks - Selected Papers from the 6th International Symposium on Neural Networks.
Neurocomputing, 2010

Multiple fuzzy neural networks modeling with sparse data.
Neurocomputing, 2010

Automated Nonlinear System Modeling with Multiple Fuzzy Neural Networks and Kernel Smoothing.
Int. J. Neural Syst., 2010

Cascade Process Modeling with Mechanism-Based Hierarchical Neural Networks.
Int. J. Neural Syst., 2010

Neural modeling with automatic structure selection.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2010

Recurrent wavelets neural networks learning via dead zone Kalman filter.
Proceedings of the International Joint Conference on Neural Networks, 2010

Support vector candidates pre selection strategy based on non convex hulls.
Proceedings of the 7th International Conference on Electrical Engineering, 2010

A Novel SVM Classification Method for Large Data Sets.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Multiple fuzzy neural networks modeling with sparse data.
Proceedings of the FUZZ-IEEE 2010, 2010

A novel linear PID controller for an upper limb exoskeleton.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Modelling of mill load for wet ball mill via GA and SVM based on spectral feature.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

Discrete-time neural control without projection for a class of nonlinear systems.
Proceedings of the 2010 IEEE International Symposium on Intelligent Control, 2010

Neural Sliding Mode Control for Magnetic Levitation Systems.
Proceedings of the IEEE International Conference on Control Applications, 2010

2009
Recurrent Neural Networks Training With Stable Bounding Ellipsoid Algorithm.
IEEE Trans. Neural Networks, 2009

Robust Stability of Cohen-Grossberg Neural Networks via State Transmission Matrix.
IEEE Trans. Neural Networks, 2009

A Novel Fuzzy-Neural-Network Modeling Approach to Crude-Oil Blending.
IEEE Trans. Contr. Sys. Techn., 2009

Neural network training with optimal bounded ellipsoid algorithm.
Neural Computing and Applications, 2009

Some novel analysis and learning methods for neural networks - Selected papers from the 5th International Symposium on Neural Networks.
Neurocomputing, 2009

Robust stability criteria for interval Cohen-Grossberg neural networks with time varying delay.
Neurocomputing, 2009

Online fuzzy modeling with structure and parameter learning.
Expert Syst. Appl., 2009

Splice Site Detection in DNA Sequences Using a Fast Classification Algorithm.
Proceedings of the IEEE International Conference on Systems, 2009

Neural sliding mode control with finite time convergence.
Proceedings of the International Joint Conference on Neural Networks, 2009

Stable fourier neural networks with application to modeling lettuce growth.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Hierarchical Fuzzy CMAC for Nonlinear Systems Modeling.
IEEE Trans. Fuzzy Systems, 2008

Two-Stage Neural Observer for Mechanical Systems.
IEEE Trans. on Circuits and Systems, 2008

Nonlinear Systems Identification via Two Types of Recurrent Fuzzy CMAC.
Neural Processing Letters, 2008

Neural networks for control, robotics and diagnostics.
Neural Computing and Applications, 2008

On-line fuzzy modeling via clustering and support vector machines.
Inf. Sci., 2008

Support vector machine classification for large data sets via minimum enclosing ball clustering.
Neurocomputing, 2008

Non-linear system modelling via online clustering and fuzzy support vector machines.
IJMIC, 2008

Chaotic Synchronization and Secure Communication via Sliding-Mode Observer.
I. J. Bifurcation and Chaos, 2008

Support Vector classification for large data sets by reducing training data with change of classes.
Proceedings of the IEEE International Conference on Systems, 2008

On-Line Modeling Via Fuzzy Support Vector Machines.
Proceedings of the MICAI 2008: Advances in Artificial Intelligence, 2008

Robust adaptive control via neural linearization and four types of compensation.
Proceedings of the International Joint Conference on Neural Networks, 2008

Automated fuzzy neural networks for nonlinear system identification.
Proceedings of the FUZZ-IEEE 2008, 2008

Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution.
Proceedings of The 2008 International Conference on Data Mining, 2008

Discrete-time sliding mode neural observer for continuous time mechanical systems.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Stability Analysis of Nonlinear System Identification via Delayed Neural Networks.
IEEE Trans. on Circuits and Systems, 2007

Passivity Analysis of Dynamic Neural Networks with Different Time-scales.
Neural Processing Letters, 2007

System identification using hierarchical fuzzy neural networks with stable learning algorithm.
Journal of Intelligent and Fuzzy Systems, 2007

Robust exponential stability analysis of neural networks with multiple time delays.
Neurocomputing, 2007

Nonlinear system identification with recurrent neural networks and dead-zone Kalman filter algorithm.
Neurocomputing, 2007

Stable antiswing PD control for overhead crane systems with velocity estimation and uncertainties compensation.
IJAAC, 2007

Two-stage svm classification for large data sets via randomly reducing and recovering training data.
Proceedings of the IEEE International Conference on Systems, 2007

Neural Networks Training with Optimal Bounded Ellipsoid Algorithm.
Proceedings of the Advances in Neural Networks, 2007

Recurrent Fuzzy CMAC for Nonlinear System Modeling.
Proceedings of the Advances in Neural Networks, 2007

Integrated Analytic Framework for Neural Network Construction.
Proceedings of the Advances in Neural Networks, 2007

Nonlinear systems identification via two types of recurrent fuzzy CMAC.
Proceedings of the International Joint Conference on Neural Networks, 2007

Fuzzy Modeling Via On-Line Clustering and Support Vector Machine.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007

Anti-swing control with hierarchical fuzzy CMAC compensation for an overhead crane.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

Recurrent fuzzy neural networks for nonlinear system identification.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

Fuzzy neural modeling via clustering and support vector machines.
Proceedings of the IEEE International Conference on Control Applications, 2007

Neural identification based on sliding mode observer.
Proceedings of the IEEE International Conference on Control Applications, 2007

2006
Pd Control of robot with velocity estimation and uncertainties compensation.
I. J. Robotics and Automation, 2006

Some New Stability Properties of Dynamic Neural Networks with Different Time-scales.
Int. J. Neural Syst., 2006

Support Vector Machine Classification Based on Fuzzy Clustering for Large Data Sets.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006

PD Control of Overhead Crane Systems with Neural Compensation.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Passivity Analysis of Dynamic Neural Networks with Different Time-Scales.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Discrete-Time Sliding-Mode Control Based on Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Training Cellular Neural Networks with Stable Learning Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Anti-swing control for overhead crane with neural compensation.
Proceedings of the International Joint Conference on Neural Networks, 2006

Some stability properties of dynamic neural networks with different time-scales.
Proceedings of the International Joint Conference on Neural Networks, 2006

Passivity Analysis for Neuro Identifier with Different Time-Scales.
Proceedings of the Intelligent Computing, 2006

System Identification Using Hierarchical Fuzzy CMAC Neural Networks.
Proceedings of the Computational Intelligence, 2006

Fuzzy Neural Identification by Online Clustering with Application on Crude Oil Blending.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
State-Space Recurrent Fuzzy Neural Networks for Nonlinear System Identification.
Neural Processing Letters, 2005

Neural networks for the optimization of crude oil blending.
Int. J. Neural Syst., 2005

High-gain observer for chaotic synchronization and secure communication.
Int. J. Communication Systems, 2005

On-Line Clustering for Nonlinear System Identification Using Fuzzy Neural Networks.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2004
Fuzzy identification using fuzzy neural networks with stable learning algorithms.
IEEE Trans. Fuzzy Systems, 2004

Nonlinear system identification using discrete-time recurrent neural networks with stable learning algorithms.
Inf. Sci., 2004

System Identification Using Adjustable RBF Neural Network with Stable Learning Algorithms.
Proceedings of the Advances in Neural Networks, 2004

Robust Adaptive Control Using Neural Networks and Projection.
Proceedings of the Advances in Neural Networks, 2004

2003
Stable Fuzzy Identification using Recurrent Fuzzy Neural Networks.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2003

2002
Dynamic system identification via recurrent multilayer perceptron.
Inf. Sci., 2002

Chemical Process Identification with Multiple Neural Networks.
International Journal of Computational Engineering Science, 2002

Minimax control for discrete-time time-varying stochastic systems.
Automatica, 2002

2001
Some new results on system identification with dynamic neural networks.
IEEE Trans. Neural Networks, 2001

2000
Dynamic knowledge inference and learning under adaptive fuzzy Petri net framework.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2000

PD Control of Robot with RBF Networks Compensation.
IJCNN (5), 2000

1999
Nonlinear adaptive trajectory tracking using dynamic neural networks.
IEEE Trans. Neural Networks, 1999

Neural Adaptive Control of Two-Link Manipulator with Sliding Mode Compensation.
Proceedings of the 1999 IEEE International Conference on Robotics and Automation, 1999

1998
A new adaptive control scheme with arbitrary nonlinear inputs.
Int. J. Systems Science, 1998


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