Wen Yu

发表

Two-stage neural sliding-mode control of magnetic levitation in minimal invasive surgery

Xiaoou Li, Wen Yu, Francisco Panuncio Cruz, 2011, Neural Computing and Applications.

Stability Analysis of Visual Servoing with Sliding-mode Estimation and Neural Compensation

Wen Yu, Wen Yu, 2006 .

Robust asymptotic neuro observer for unknown nonlinear systems

Wen Yu, Xiaoou Li, 2014, Proceeding of the 11th World Congress on Intelligent Control and Automation.

Robust asymptotic neuro‐observer with time delay term

A. Poznyak, Wen Yu, 2000 .

Robust asymptotic neuro observer with time delay term

Encarna Sosa Sánchez, A. Poznyak, E. Sánchez, 2000, Proceedings of the 2000 IEEE International Symposium on Intelligent Control. Held jointly with the 8th IEEE Mediterranean Conference on Control and Automation (Cat. No.00CH37147).

Stability analysis of PD regulation for ball and beam system

Wen Yu, F. Ortiz, 2005, Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005..

Passive equivalence of chaos in Lorenz system

Wen Yu, 1999 .

Discrete-time neuro identification without robust modification

Wen Yu, Xiaoou Li, 2003 .

Luenberger Observer Design for Uncertainty Nonlinear Systems

Wen Yu, 2018 .

Luenberger Observer Design for Uncertainty Nonlinear Systems

Wen Yu, 2020 .

Multi-robot manipulation using formation control and human-in-the-loop scheme

Erick García López, Erick Garcia Lopez, Wen Yu, 2020, 2020 17th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

Fuzzy identification using fuzzy neural networks with stable learning algorithms

Wen Yu, Xiaoou Li, 2004 .

High‐gain observer for chaotic synchronization and secure communication

Wen Yu, Wen Yu, 2005, Int. J. Commun. Syst..

Minimax controller design for discrete-time time-varying stochastic systems

Wen Yu, Xianping Gu, 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

Passivity feedback equivalence of nonlinear systems via neural networks approximation

A. Poznyak, R. Castro-Linares, Wen Yu, 1999, 1999 European Control Conference (ECC).

Uncertain nonlinear system control with fuzzy equations and Z-numbers

Wen Yu, R. Jafari, 2016 .

A new adaptive control scheme with arbitrary nonlinear inputs

Wen Yu, Manuel de la Sen, Wen Yu, 1998, Int. J. Syst. Sci..

Stability analysis of dynamic multilayer neuro identifier

Wen Yu, 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..

Stable PID Control and Systematic Tuning of PID Gains

Wen Yu, 2018 .

Time-Delay Nonlinear System Modelling via Delayed Neural Networks

Wen Yu, Xiaoou Li, J. de Jesús Rubio, 2006, 2006 6th World Congress on Intelligent Control and Automation.

NEURAL MODELING FOR CRUDE OIL BLENDING

Wen Yu, A. Morales, 2005 .

A High ' Gain Observer-Based PD Manipulator Control for Robot

Wen Yu, J. Heredia, 2000 .

Neural Modeling With Guaranteed Input–Output Probability Distributions

Wen Yu, Erick de la Rosa, 2021, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Chapter 2 Luenberger Observer Design for Uncertainty Nonlinear Systems

Wen Yu, 2019 .

PD Control with Sliding Mode Compensation

Wen Yu, 2018 .

Passivity Analysis of Dynamic Neural Networks with Different Time-scales

Xiaoou Li, Wen Yu, Alejandro Cruz Sandoval, 2006, Neural Processing Letters.

Uncertainty Nonlinear Systems Modeling with Fuzzy Equations

Wen Yu, Raheleh Jafari, Wen Yu, 2015, 2015 IEEE International Conference on Information Reuse and Integration.

Reinforcement Learning Compensation based PD Control for a Double Inverted Pendulum

Humberto Sossa, Wen Yu, Guillermo Puriel Gil, 2019, IEEE Latin America Transactions.

Reinforcement Learning Compensation based PD Control for Inverted Pendulum

Juan Humberto Sossa Azuela, Wen Yu, Guillermo Puriel-Gil, 2018, 2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

A modified PD control of robot manipulator using neural network compensator

Wen Yu, Jose Antonio Heredia Huerta, Wen Yu, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Bipedal walking control in dynamic environment using data mining techniques

Xiaoou Li, Wen Yu, Williams Antonio Pantoja Laces, 2015, 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

A novel hybrid neural network for modeling rare-earth extraction process

Wenjun Jia, Tianyou Chai, Wen Yu, 2008 .

Multiple fuzzy neural networks modeling with sparse data

Wen Yu, Israel Cruz-Vega, Wen Yu, 2010, International Conference on Fuzzy Systems.

Nonlinear adaptive trajectory tracking using dynamic neural networks

Alexander S. Poznyak, Edgar N. Sánchez, Wen Yu, 1999, IEEE Trans. Neural Networks.

Time-varying output-based Takagi–Sugeno fuzzy controller of uncertain nonlinear systems

Sergio Salazar, Isaac Chairez Oria, Wen Yu, 2020, Int. J. Syst. Sci..

Border Samples Detection for Data Mining Applications Using Non Convex Hulls

Asdrúbal López Chau, Xiaoou Li, Jair Cervantes, 2011, MICAI.

A novel PID tuning method for robot control

Xiaoou Li, Wen Yu, Roberto Carmona Rodriguez, 2013, Ind. Robot.

Neural PID admittance control of a robot

Xiaoou Li, Wen Yu, Roberto Carmona Rodriguez, 2013, 2013 American Control Conference.

A systematic tunning method of PID controller for robot manipulators

Xiaoou Li, Wen Yu, Wen Yu, 2011, 2011 9th IEEE International Conference on Control and Automation (ICCA).

PID admittance control for an upper limb exoskeleton

Xiaoou Li, Wen Yu, Jacob Rosen, 2011, Proceedings of the 2011 American Control Conference.

System Identification Using Adjustable RBF Neural Network with Stable Learning Algorithms

Xiaoou Li, Wen Yu, Wen Yu, 2004, ISNN.

Stable bilateral teleoperation with phase transition and haptic feedback

Wen Yu, Edgar Estrada, Xiaoou Li, 2021, J. Frankl. Inst..

Support Vector classification for large data sets by reducing training data with change of classes

Xiaoou Li, Wen Yu, Jair Cervantes, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

A novel linear PID controller for an upper limb exoskeleton

Wen Yu, Jacob Rosen, J. Rosen, 2010, 49th IEEE Conference on Decision and Control (CDC).

Differential Neural Networks for Robust Nonlinear Control: Identification, State Estimation and Trajectory Tracking

Alexander S. Poznyak, Edgar N. Sanchez, Wen Yu, 2001 .

Support vector machine classification for large data sets via minimum enclosing ball clustering

Xiaoou Li, Wen Yu, Kang Li, 2008, Neurocomputing.

Nonlinear system identification with recurrent neural networks and dead-zone Kalman filter algorithm

Wen Yu, José de Jesús Rubio, J. J. Rubio, 2007, Neurocomputing.

Multiple recurrent neural networks for stable adaptive control

Wen Yu, Wen Yu, 2006, Neurocomputing.

Dynamic knowledge inference and learning under adaptive fuzzy Petri net framework

Xiaoou Li, Felipe Lara-Rosano, Wen Yu, 2000, IEEE Trans. Syst. Man Cybern. Part C.

Automated damage location for building structures using the hysteretic model and frequency domain neural networks

Wen Yu, Jesus Morales-Valdez, Mario Lopez‐Pacheco, 2020, Structural Control and Health Monitoring.

Fuzzy PID Control of Building Structures

Wen Yu, Suresh Thenozhi, Wen Yu, 2016 .

Stable PID Active Control of Building Structures

Wen Yu, Suresh Thenozhi, Wen Yu, 2016 .

Active vibration control of building structure using active disturbance rejection control

Wen Yu, Mario Ramírez-Neria, Jesús Morales-Valdez, 2021, Journal of Vibration and Control.

Fuzzy modelling via on-line support vector machines

Wen Yu, Wen Yu, 2010, Int. J. Syst. Sci..

Position/force control of robot manipulators using reinforcement learning

Wen Yu, Adolfo Perrusquía, Alberto Soria, 2019, Ind. Robot.

Uncertain nonlinear system control with fuzzy differential equations and Z-numbers

Wen Yu, Raheleh Jafari, Wen Yu, 2017, 2017 IEEE International Conference on Industrial Technology (ICIT).

Fuzzy Differential Equations for Nonlinear System Modeling With Bernstein Neural Networks

Xiaoou Li, Wen Yu, Raheleh Jafari, 2016, IEEE Access.

Robust adaptive control via neural linearization and four types of compensation

Xiaoou Li, Wen Yu, Wen Yu, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Robust chaotic communication via high gain observer

Wen Yu, Wen Yu, America Morales, 2008 .

Multi-objective evaluation-based hybrid intelligent control optimization for shaft furnace roasting process

Tianyou Chai, Wen Yu, Zhe Xu, 2012 .

Vibration and acoustic frequency spectra for industrial process modeling using selective fusion multi-condition samples and multi-source features

Jian Tang, Tianyou Chai, Jian Tang, 2018 .

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

Tianyou Chai, Jian Zhang, Wen Yu, 2016, Neurocomputing.

Selective ensemble modeling load parameters of ball mill based on multi-scale frequency spectral features and sphere criterion

Wen Yu, Jian Tang, Zhuo Liu, 2016 .

Modeling Load Parameters of Ball Mill in Grinding Process Based on Selective Ensemble Multisensor Information

Tianyou Chai, Wen Yu, Jian Tang, 2013, IEEE Transactions on Automation Science and Engineering.

Feature extraction and selection based on vibration spectrum with application to estimating the load parameters of ball mill in grinding process

Jian Tang, Tianyou Chai, Lijie Zhao, 2012 .

Modeling Component Concentrations of Sodium Aluminate Solution Via Hammerstein Recurrent Neural Networks

Tianyou Chai, Wei Wang, Wen Yu, 2012, IEEE Transactions on Control Systems Technology.

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

Tianyou Chai, Wen Yu, Jian Tang, 2012, Neurocomputing.

Vibration Analysis Based on Empirical Mode Decomposition and Partial Least Square

Jian Tang, Tianyou Chai, Lijie Zhao, 2011 .

Discrete-time sliding mode neural observer for continuous time mechanical systems

Leonid M. Fridman, Wen Yu, Juan Resendiz, 2008, 2008 47th IEEE Conference on Decision and Control.

Short-term prediction of the earthquake through Neural Networks and Meta-Learning

Wen Yu, Mario Maya, Wen Yu, 2019, 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

Dynamic Model of a Wind Turbine for the Electric Energy Generation

Jose de Jesus Rubio, Wen Yu, Luis Arturo Soriano, 2014 .

Recurrent Neural Networks Training With Stable Bounding Ellipsoid Algorithm

Wen Yu, José de Jesús Rubio, J. J. Rubio, 2009, IEEE Transactions on Neural Networks.

Two-Stage Neural Observer for Mechanical Systems

Leonid M. Fridman, Wen Yu, Juan Resendiz, 2008, IEEE Transactions on Circuits and Systems II: Express Briefs.

Dynamic Neural Networks for Model-Free Control and Identification

Isaac Chairez, Alexander S. Poznyak, Haibo He, 2012 .

Structural Health Monitoring of Building Structures With Online Data Mining Methods

Xiaoou Li, Wen Yu, Salvador Villegas, 2016, IEEE Systems Journal.

Path planning in unknown environment with kernel smoothing and reinforcement learning for multi-agent systems

Wen Yu, David Luviano Cruz, Wen Yu, 2015, 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

Recent Advances in Bidirectional Modeling and Structural Control

Xiaoou Li, Wen Yu, Satyam Paul, 2016 .

Robust feedback passivity via dynamic neural networks

Wen Yu, Francisco Panuncio Cruz, Wen Yu, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Neural PID Control of Robot Manipulators With Application to an Upper Limb Exoskeleton

Wen Yu, Jacob Rosen, J. Rosen, 2013, IEEE Transactions on Cybernetics.

Automated Nonlinear System Modeling with Multiple Fuzzy Neural Networks and Kernel Smoothing

Xiaoou Li, Wen Yu, Wen Yu, 2010, Int. J. Neural Syst..

Uncertainty Nonlinear Systems Control with Fuzzy Equations

Wen Yu, Raheleh Jafari, Wen Yu, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Fuzzy control for uncertainty nonlinear systems with dual fuzzy equations

Wen Yu, Raheleh Jafari, Wen Yu, 2015, J. Intell. Fuzzy Syst..

Robot PD control with parallel/serial neural network and sliding mode compensations

Xiaoou Li, Wen Yu, Debbie Hernández, 2012, 2012 IEEE International Conference on Control Applications.

Artificial neural network approach for solving strongly degenerate parabolic and burgers-fisher equations

Wen Yu, Raheleh Jafari, Wen Yu, 2015, 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

Optimum design of a parallel robot using neuro-genetic algorithm

Erick García López, Wen Yu, Xiaoou Li, 2021 .

Nonlinear system identification using discrete-time recurrent neural networks with stable learning algorithms

Wen Yu, Wen Yu, 2004, Inf. Sci..

Robust observers for a class of uncertainty nonlinear systems

Xiaoou Li, Wen Yu, Wen Yu, 2013, 52nd IEEE Conference on Decision and Control.

Stable neural PID anti-swing control for an overhead crane

Xiaoou Li, Wen Yu, Francisco Panuncio Cruz, 2013, 2013 IEEE International Symposium on Intelligent Control (ISIC).

Neural identification based on sliding mode observer

Xiaoou Li, Wen Yu, Wen Yu, 2007, 2007 IEEE International Conference on Control Applications.

Anti-swing control with hierarchical fuzzy CMAC compensation for an overhead crane

Marco A. Moreno-Armendáriz, Floriberto Ortiz-Rodríguez, Wen Yu, 2007, 2007 IEEE 22nd International Symposium on Intelligent Control.

PD Control of Overhead Crane with Velocity Estimation and Uncertainties Compensation

Xiaoou Li, Wen Yu, R. Toxqui, 2006, 2006 6th World Congress on Intelligent Control and Automation.

PD control of robot with velocity estimation and uncertainties compensation

Xiaoou Li, Wen Yu, Wen Yu, 2001, Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228).

PD control of robot with RBF networks compensation

Wen Yu, José Antonio Heredia, Wen Yu, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

A high-gain observer-based PD control for robot manipulator

Wen Yu, Wen Yu, J. A. Heredia, 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

Observer-based neuro identifier

Xiaoou Li, Wen Yu, M. A. Moreno, 2000 .

Stable Anti-Swing Control for an Overhead Crane with Velocity Estimation and Fuzzy Compensation

George W. Irwin, Xiaoou Li, Wen Yu, 2008 .

Stability Analysis of Nonlinear System Identification via Delayed Neural Networks

Wen Yu, José de Jesús Rubio, J. J. Rubio, 2007, IEEE Transactions on Circuits and Systems II: Express Briefs.

Robust exponential stability analysis of neural networks with multiple time delays

Huaguang Zhang, Zhanshan Wang, Wen Yu, 2007, Neurocomputing.

Robust stability criteria for interval Cohen-Grossberg neural networks with time varying delay

Huaguang Zhang, Zhanshan Wang, Wen Yu, 2009, Neurocomputing.

Simple Optimal Tracking Control for a Class of Closed-Chain Mechanisms in Task Space

Wen Yu, Adolfo Perrusquía, Juan Alejandro Flores Campos, 2019, 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

Multi-Step Forecasting of Earthquake Magnitude Using Meta-Learning Based Neural Networks

Wen Yu, Luciano Telesca, Mario Maya, 2021, Cybern. Syst..

Using Genetic Algorithm to Improve Classification Accuracy on Imbalanced Data

Xiaoou Li, Wen Yu, Jair Cervantes, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

A lower limb exoskeleton with hybrid actuation

Rogelio Lozano, Sergio Salazar, Wen Yu, 2014, 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics.

Hierarchical Fuzzy CMAC for Nonlinear Systems Modeling

Wen Yu, Marco A. Moreno-Armendáriz, Floriberto Ortiz-Rodríguez, 2008, IEEE Transactions on Fuzzy Systems.

Discrete sliding mode control with forgetting dynamic sliding surface

Gou-Jen Wang, Chun-Chin Chang, Wen-Chun Yu, 2004 .

Active Structural Control with Stable Fuzzy PID Techniques

Suresh Thenozhi, Wen Yu, Wen Yu, 2015 .

Two Types of Haar Wavelet Neural Networks for Nonlinear System Identification

Wen Yu, J. Cordova, 2012, Neural Processing Letters.

State-Space Recurrent Fuzzy Neural Networks for Nonlinear System Identification

Wen Yu, Wen Yu, 2005, Neural Processing Letters.

Sliding Mode SLAM for Robust Simultaneous Localization and Mapping

Wen Yu, Erik Zamora, Salvador Ortiz, 2018, IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society.

Sliding mode three-dimension SLAM with application to quadrotor helicopter

Erik Zamora, Salvador Ortiz-Santos, Wen Yu, 2018, 2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

Identification and optimal control of nonlinear systems using recurrent neural networks and reinforcement learning: An overview

Wen Yu, Adolfo Perrusquía, Wen Yu, 2021, Neurocomputing.

Stable adaptive compensation with fuzzy CMAC for an overhead crane

Wen Yu, Marco A. Moreno-Armendáriz, Floriberto Ortiz-Rodríguez, 2011, Inf. Sci..

An Aquaponics System Design for Computational Intelligence Teaching

Wei Wang, Wen Yu, Kewei Cai, 2020, IEEE Access.

Support vector machine classification for large datasets using decision tree and Fisher linear discriminant

Wen Yu, Xiaoou Li, A. L. Chau, 2014 .

Support Vector Machine Classication for Large Datasets Using

Xiaoou Li, Wen Yu, Wen Yu, 2013 .

Fast classification for large data sets via random selection clustering and Support Vector Machines

Xiaoou Li, Wen Yu, Jair Cervantes, 2012, Intell. Data Anal..

Data Stream Classification for Structural Health Monitoring via On-Line Support Vector Machines

Xiaoou Li, Wen Yu, Wen Yu, 2015, 2015 IEEE First International Conference on Big Data Computing Service and Applications.

Convex and concave hulls for classification with support vector machine

Asdrúbal López Chau, Xiaoou Li, Wen Yu, 2013, Neurocomputing.

Data Selection Using Decision Tree for SVM Classification

Asdrúbal López Chau, Xiaoou Li, Wen Yu, 2012, 2012 IEEE 24th International Conference on Tools with Artificial Intelligence.

Support Vector Machine Classification Based on Fuzzy Clustering for Large Data Sets

Xiaoou Li, Wen Yu, Jair Cervantes, 2006, MICAI.

Integrated soft sensor with wavelet neural network and adaptive weighted fusion for water quality estimation in wastewater treatment process

Wen Yu, Qiumei Cong, Wen Yu, 2018, Measurement.

Fixed-time robust output feedback control of a restricted state biped robot based on a tangent barrier Lyapunov function

Wen Yu, Isaac Chairez Oria, Karla Rincon, 2019, 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

SVM Classification for Large Data Sets by Considering Models of Classes Distribution

Wen Yu, Xiaoou Li, Wen Yu, 2007, 2007 Sixth Mexican International Conference on Artificial Intelligence, Special Session (MICAI).

Selective ensemble modeling based on nonlinear frequency spectral feature extraction for predicting load parameter in ball mills

Jian Tang, Tianyou Chai, Zhuo Liu, 2015 .

Redundant Robot Control Using Multi Agent Reinforcement Learning

Xiaoou Li, Adolfo Perrusquía, Wen Yu, 2020, 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE).

Modeling and Control of Wind Turbine

Jose de Jesus Rubio, Wen Yu, Luis Arturo Soriano, 2013 .

Splice site detection in DNA sequences using a fast classification algorithm

Xiaoou Li, Wen Yu, Jair Cervantes, 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.

Modeling and nonlinear PD regulation for ball and plate system

Wen Yu, Sergio Galvan Colmenares, Marco A. Moreno-Armendariz, 2012, World Automation Congress 2012.

Large data sets classification using convex–concave hull and support vector machine

Asdrúbal López Chau, Xiaoou Li, Wen Yu, 2012, Soft Computing.

Structural Health Monitoring of Tall Buildings with Numerical Integrator and Convex-Concave Hull Classification

Asdrúbal López Chau, Xiaoou Li, Wen Yu, 2012 .

Convex-Concave Hull for Classification with Support Vector Machine

Asdrúbal López Chau, Xiaoou Li, Wen Yu, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

A Novel SVM Classification Method for Large Data Sets

Xiaoou Li, Wen Yu, Jair Cervantes, 2010, 2010 IEEE International Conference on Granular Computing.

Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution

Xiaoou Li, Wen Yu, Jair Cervantes, 2008, DMIN.

Support Vector Machine for Nonlinear System On-line Identification

Xiaoou Li, Wen Yu, J.A. Resendiz-Trejo, 2006, 2006 3rd International Conference on Electrical and Electronics Engineering.

Data-Driven Fuzzy Modeling Using Deep Learning pdf

Wen Yu, Erick De la Rosa, Wen Yu, 2017, ArXiv.

Robust Control in the Worst Case Using Continuous Time Reinforcement Learning

Xiaoou Li, Adolfo Perrusquía, Wen Yu, 2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Robot Position/Force Control in Unknown Environment Using Hybrid Reinforcement Learning

Adolfo Perrusquia, Wen Yu, Wen Yu, 2020, Cybern. Syst..

Neural H₂ Control Using Continuous-Time Reinforcement Learning

Wen Yu, Adolfo Perrusquia, Wen Yu, 2020, IEEE Transactions on Cybernetics.

Discrete-Time H2 Neural Control Using Reinforcement Learning

Wen Yu, Adolfo Perrusquia, Wen Yu, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Data-Driven Fuzzy Modeling Using Restricted Boltzmann Machines and Probability Theory

Wen Yu, Erick de la Rosa, Wen Yu, 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

Large space dimension Reinforcement Learning for Robot Position/Force Discrete Control

Wen Yu, Adolfo Perrusquía, Alberto Soria, 2019, 2019 6th International Conference on Control, Decision and Information Technologies (CoDIT).

Neural H2 Control Using Reinforcement Learning for Unknown Nonlinear Systems

Wen Yu, Adolfo Perrusquía, Wen Yu, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Robust Adaptive Control Using Neural Networks and Projection

Xiaoou Li, Wen Yu, Wen Yu, 2004, International Symposium on Neural Networks.

Some new results on system identification with dynamic neural networks

Xiaoou Li, Wen Yu, Wen Yu, 2001, IEEE Trans. Neural Networks.

Indirect adaptive control via parallel dynamic neural networks

Alexander S. Poznyak, Wen Yu, A. Poznyak, 1999 .

Optimal contact force of Robots in Unknown Environments using Reinforcement Learning and Model-free controllers

Adolfo Perrusquía, Alberto Soria, Wen Yu, 2019, 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

Robust Stability of Cohen–Grossberg Neural Networks via State Transmission Matrix

Huaguang Zhang, Zhanshan Wang, Wen Yu, 2009, IEEE Transactions on Neural Networks.

Stable Fuzzy Identification using Recurrent Fuzzy Neural Networks

Xiaoou Li, Wen Yu, Wen Yu, 2003, Neural Networks and Computational Intelligence.

Modeling and neuro control for multicomponent nonideal distillation column

Xiaoou Li, Wen Yu, Wen Yu, 2011, 2011 9th IEEE International Conference on Control and Automation (ICCA).

Multilayer dynamic neural networks for non-linear system on-line identification

Alexander S. Poznyak, Xiaoou Li, Wen Yu, 2001 .

A Haptic Bilateral Robots System for Wrist Rehabilitation after Stroke

Xiaoou Li, Wen Yu, Erick García López, 2018, 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE).

Stable PID Vibration Control of Building Structures

Xiaoou Li, Wen Yu, Thenozhi Suresh, 2014 .

ADAPTIVE FUZZY PETRI NETS FOR SUPERVISORY HYBRID SYSTEMS MODELING

Xiaoou Li, Wen Yu, Sergio Perez, 2002 .

Dynamic system identification via recurrent multilayer perceptron

Xiaoou Li, Wen Yu, Wen Yu, 2002, Inf. Sci..

Conditional probability calculation using restricted Boltzmann machine with application to system identification pdf

Wen Yu, Erick De la Rosa, Wen Yu, 2018, ArXiv.

Haar wavelet neural networks for nonlinear system identification

Xiaoou Li, Wen Yu, Juan Jose Cordova, 2012, 2012 IEEE International Symposium on Intelligent Control.

A novel numerical integrator for structural health monitoring

Wen Yu, S. Thenozhi, R. Garrido, 2012, 2012 5th International Symposium on Resilient Control Systems.

Trajectory generation in joint space using modified hidden Markov model

Wen Yu, Javier Garrido, Wen Yu, 2014, The 23rd IEEE International Symposium on Robot and Human Interactive Communication.

Design and control of hybrid actuation lower limb exoskeleton

Sergio Salazar, Ricardo Lopez, Wen Yu, 2015 .

Output based backstepping control for trajectory tracking of an Autonomous Underwater Vehicle

Rogelio Lozano, Sergio Salazar, Wen Yu, 2016, 2016 American Control Conference (ACC).

Hybrid neural networks for gasoline blending system modeling

Xiaoou Li, Wen Yu, Wen Yu, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Nonlinear System Modeling with a New Fuzzy Model and Neural Compensation

Wen Yu, Cruz Vega Israel, Wen Yu, 2010 .

Discrete-time neural control without projection for a class of nonlinear systems

Xiaoou Li, Wen Yu, Wen Yu, 2010, 2010 IEEE International Symposium on Intelligent Control.

Modelling of crude oil blending via discrete-time neural networks

Xiaoou Li, Wen Yu, Wen Yu, 2004, (ICEEE). 1st International Conference on Electrical and Electronics Engineering, 2004..

Modelling of gasoline blending via discrete-time neural networks

E. Gomez-Ramirez, Wen Yu, M.A. Moreno-Armendariz, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Discrete-time nonlinear system identification using recurrent neural networks

Xiaoou Li, Wen Yu, Wen Yu, 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

Passivity analysis for dynamic multilayer neuro identifier

Wen Yu, Wen Yu, 2003 .

Fuzzy mechanistic model with neural compensation for Estimation of shaft furnace's product quality

Tianyou Chai, Wen Yu, Fenghua Wu, 2008 .

Neural H2 Control Using Reinforcement Learning for Unknown Nonlinear Systems

Wen Yu, Adolfo Perrusquía, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Active Structural Control

Wen Yu, Suresh Thenozhi, Wen Yu, 2016 .

Frequency domain CNN and dissipated energy approach for damage detection in building structures

Wen Yu, Mario Pacheco, Jesús Morales-Valdez, 2020, Soft Comput..

A novel numerical integrator for structural control and monitoring

Wen Yu, Ruben Garrido, Suresh Thenozhi, 2012, 2012 IEEE 13th International Conference on Information Reuse & Integration (IRI).

Nonlinear system modeling using convolutional neural networks

Wen Yu, Mario Lopez, Wen Yu, 2017, 2017 14th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

A new fuzzy visual servoing with application to robot manipulator

Wen Yu, M.A. Moreno-Armendariz, Wen Yu, 2005, Proceedings of the 2005, American Control Conference, 2005..

PCA and neural networks-based soft sensing strategy with application in sodium aluminate solution

Tianyou Chai, Wei Wang, Wen Yu, 2011, J. Exp. Theor. Artif. Intell..

On-line principal component analysis with application to process modeling

Tianyou Chai, Wen Yu, Jian Tang, 2012, Neurocomputing.