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Wen Yu 0001
Person information
- affiliation: CINVESTAV-IPN, National Polytechnic Institute, Departamento de Control Automatico, Mexico City, Mexico
Other persons with the same name
- Wen Yu — disambiguation page
- Wen Yu 0002 — Fudan University, School of Management, Department of Statistics, Shanghai, China
- Wen Yu 0003 — The University of Liverpool, UK
- Wen Yu 0004 — Chinese Academy of Sciences, Microwave System Laboratory, Shanghai Institute of Microsystem and Information Technology, China
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Journal Articles
- 2025
- [j161]Yingqin Zhu
, Wen Yu
A Multi-objective transfer learning framework for time series forecasting with Concept Echo State Networks. Neural Networks 186: 107272 (2025) - [j160]Heng Xia, Jian Tang, Wen Yu:
Using deep forest regression and multi-layer state transition algorithm to soft measuring modeling with small sample data. Soft Comput. 29(3): 1587-1603 (2025) - [j159]Liyi Yu
Real-Time Caustic Ratio Prediction in Alumina Digestion Process for Closed-Loop Operation: A Cloud-Edge Deep Learning Approach. IEEE Trans Autom. Sci. Eng. 22: 10787-10800 (2025) - [j158]Weiwei Yang, Jian Tang, Hao Tian, Wen Yu
Flue Gas Oxygen Content Control Based on Interval Type-2 Fuzzy Broad Learning System and PID for MSWI Process. IEEE Trans Autom. Sci. Eng. 22: 15473-15487 (2025) - [j157]Chaofan Xu
Dioxin Emission Detection Based on Dynamic Pruning Online Ensemble Binary Tree Algorithm. IEEE Trans Autom. Sci. Eng. 22: 15549-15564 (2025) - [j156]Kesheng Zhang
Dual-Scale Attributed Graph Transformer for Extracting Spatial-Temporal Features With Applications in Quality Index Prediction. IEEE Trans. Emerg. Top. Comput. Intell. 9(2): 1873-1884 (2025) - [j155]Hao Tian
Bayesian Optimization-Based Interval Type-2 Fuzzy Neural Network for Furnace Temperature Control. IEEE Trans. Ind. Informatics 21(1): 505-514 (2025) - [j154]Liyi Yu
Deep Learning Framework for Collaborative Variable Time Delay Estimation and Uncertainty Quantification in Industrial Quality Prediction. IEEE Trans. Ind. Informatics 21(2): 1960-1969 (2025) - [j153]Danwei Zhang
Spatio-Temporal Attention Adversarial Autoencoders for Enhanced Anomaly Detection in High-Pressure Grinding Rolls. IEEE Trans. Ind. Informatics 21(4): 2917-2926 (2025) - [j152]Runyu Zhang
CO Emission Prediction for MSWI Process Based on Dual-Space Nested Dual-Window Drift Detection. IEEE Trans. Instrum. Meas. 74: 1-15 (2025) - 2024
- [j151]Ivan Hernandez
Optimal PD Control Using Conditional GAN and Bayesian Inference. IEEE Access 12: 48255-48265 (2024) - [j150]Wen Xu, Jian Tang
Multi-objective PSO semi-supervised random forest method for dioxin soft sensor. Eng. Appl. Artif. Intell. 135: 108772 (2024) - [j149]Tianzheng Wang
Data-driven multi-objective intelligent optimal control of municipal solid waste incineration process. Eng. Appl. Artif. Intell. 137: 109157 (2024) - [j148]Cuili Yang
Multi-reservoir ESN-based prediction strategy for dynamic multi-objective optimization. Inf. Sci. 652: 119495 (2024) - [j147]Ivan Hernandez
Design and control of active lower limb prosthesis with sensorial frame. J. Syst. Control. Eng. 238(4): 648-660 (2024) - [j146]Runyu Zhang, Jian Tang
CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization. Neural Comput. Appl. 36(10): 5473-5498 (2024) - [j145]Heng Xia
Hybrid Simulator-Based Mechanism and Data-Driven for Multidemand Dioxin Emissions Intelligent Prediction in the MSWI Process. IEEE Trans. Ind. Electron. 71(10): 13221-13231 (2024) - [j144]Heng Xia
Online Measurement of Dioxin Emission in Solid Waste Incineration Using Fuzzy Broad Learning. IEEE Trans. Ind. Informatics 20(1): 358-368 (2024) - [j143]Xianyao Han
Feed Concentration Forecasting Using Closed-Loop Input Error and Deep Learning. IEEE Trans. Ind. Informatics 20(11): 12793-12802 (2024) - [j142]Heng Xia
Multimodal Data-Driven Interpretable Deep Modeling Approach of Dioxins Generation for Municipal Solid Waste Incineration Processes. IEEE Trans. Instrum. Meas. 73: 1-18 (2024) - [j141]Heng Xia
Tree Broad Learning System for Small Data Modeling. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8909-8923 (2024) - 2023
- [j140]Jorge Ramírez
Reinforcement learning from expert demonstrations with application to redundant robot control. Eng. Appl. Artif. Intell. 119: 105753 (2023) - [j139]Xiaotong Pan
Combustion state identification of MSWI processes using ViT-IDFC. Eng. Appl. Artif. Intell. 126: 106893 (2023) - [j138]Canlin Cui, Jian Tang
Virtual sample generation method based on generative adversarial fuzzy neural network. Neural Comput. Appl. 35(9): 6979-7001 (2023) - [j137]Heng Xia
Takagi-Sugeno Fuzzy Regression Trees With Application to Complex Industrial Modeling. IEEE Trans. Fuzzy Syst. 31(7): 2210-2224 (2023) - [j136]Canlin Cui
Multiscale Modeling Using GAN and Deep Forest Regression With Application to Dioxin Emission Soft Sensor. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j135]Chaofan Xu
Dioxin Emission Concentration Prediction Using the Selective Ensemble Algorithm Based on Bayesian Inference and Binary Tree. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [j134]Cuili Yang
Evolving Deep Delay Echo State Network for Effluent NH4-N Prediction in Wastewater Treatment Plants. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - 2022
- [j133]Mario Maya, Wen Yu
Meta-Transfer Learning Using Wavelet Decomposition for Multi-Horizon Time Series Forecasting. IEEE Access 10: 30284-30295 (2022) - [j132]Jorge Ramírez, Wen Yu
Model-free reinforcement learning from expert demonstrations: a survey. Artif. Intell. Rev. 55(4): 3213-3241 (2022) - [j131]Adolfo Perrusquía, Ruben Garrido
Stable robot manipulator parameter identification: A closed-loop input error approach. Autom. 141: 110294 (2022) - [j130]Jesus Gonzalez, Wen Yu
Gated Recurrent Units Based Recurrent Neural Network for Forecasting the Characteristics of the Next Earthquake. Cybern. Syst. 53(2): 209-222 (2022) - [j129]Mario Maya, Wen Yu
Multi-Step Forecasting of Earthquake Magnitude Using Meta-Learning Based Neural Networks. Cybern. Syst. 53(6): 563-580 (2022) - [j128]ZhaoZhao Zhang, Ying-qin Zhu
Optimal echo state network parameters based on behavioural spaces. Neurocomputing 503: 299-313 (2022) - [j127]Shuaishuai Yang, Qiumei Cong, Wen Yu, Jian Yang, Jian Song:
Improving self-organizing recursive fuzzy neural network's performance with Boston matrix. J. Intell. Fuzzy Syst. 43(3): 3239-3249 (2022) - [j126]Heng Xia
DF classification algorithm for constructing a small sample size of data-oriented DF regression model. Neural Comput. Appl. 34(4): 2785-2810 (2022) - [j125]Mario Lopez-Pacheco, Wen Yu
Complex Valued Deep Neural Networks for Nonlinear System Modeling. Neural Process. Lett. 54(1): 559-580 (2022) - [j124]Jorge Morales, Wen Yu
Bayesian inference for data-driven training with application to seismic parameter prediction. Soft Comput. 26(2): 867-876 (2022) - [j123]Zhuo Liu, Tianyou Chai, Jian Tang, Wen Yu
Heterogeneous selective ensemble learning model for mill load parameters forecasting by using multiscale mechanical frequency spectrum. Soft Comput. 26(24): 13467-13484 (2022) - [j122]Adolfo Perrusquía
Neural H₂ Control Using Continuous-Time Reinforcement Learning. IEEE Trans. Cybern. 52(6): 4485-4494 (2022) - [j121]Karla Rincon
Finite-Time Output Feedback Robust Controller Based on Tangent Barrier Lyapunov Function for Restricted State Space for Biped Robot. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5042-5055 (2022) - 2021
- [j120]Raheleh Jafari, Wen Yu
Numerical methods for solving fuzzy equations: A survey. Fuzzy Sets Syst. 404: 1-22 (2021) - [j119]Wen Yu
Fast training of deep LSTM networks with guaranteed stability for nonlinear system modeling. Neurocomputing 422: 85-94 (2021) - [j118]Adolfo Perrusquía, Wen Yu
Identification and optimal control of nonlinear systems using recurrent neural networks and reinforcement learning: An overview. Neurocomputing 438: 145-154 (2021) - [j117]Jorge Morales, Wen Yu
Improving neural network's performance using Bayesian inference. Neurocomputing 461: 319-326 (2021) - [j116]Adolfo Perrusquía, Wen Yu
Continuous-time reinforcement learning for robust control under worst-case uncertainty. Int. J. Syst. Sci. 52(4): 770-784 (2021) - [j115]Adolfo Perrusquía, Wen Yu
Nonlinear control using human behavior learning. Inf. Sci. 569: 358-375 (2021) - [j114]Edgar Estrada
Stable bilateral teleoperation with phase transition and haptic feedback. J. Frankl. Inst. 358(3): 1940-1956 (2021) - [j113]Abigail M. E. Ramírez-Mendoza, Wen Yu
Fuzzy identification of systems based on adaptive neurons. J. Intell. Fuzzy Syst. 40(6): 10767-10779 (2021) - [j112]Mario Maya, Wen Yu
Neural networks for long-term earthquake prediction using modified meta-learning. J. Intell. Fuzzy Syst. 41(6): 6375-6388 (2021) - [j111]Adolfo Perrusquía, Wen Yu
Multi-agent reinforcement learning for redundant robot control in task-space. Int. J. Mach. Learn. Cybern. 12(1): 231-241 (2021) - [j110]Jian Tang
Deep forest regression based on cross-layer full connection. Neural Comput. Appl. 33(15): 9307-9328 (2021) - [j109]José de Jesús Serrano-Pérez
New Results for Prediction of Chaotic Systems Using Deep Recurrent Neural Networks. Neural Process. Lett. 53(2): 1579-1596 (2021) - [j108]Adolfo Perrusquía
Discrete-Time H2 Neural Control Using Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4879-4889 (2021) - [j107]Wen Yu
Neural Modeling With Guaranteed Input-Output Probability Distributions. IEEE Trans. Syst. Man Cybern. Syst. 51(11): 6660-6668 (2021) - 2020
- [j106]Wei Wang, Yao Jia, Kewei Cai, Wen Yu
An Aquaponics System Design for Computational Intelligence Teaching. IEEE Access 8: 42364-42371 (2020) - [j105]Abigail M. E. Ramírez-Mendoza, Wen Yu
A Novel Fuzzy System With Adaptive Neurons for Earthquake Modeling. IEEE Access 8: 101369-101376 (2020) - [j104]Jian Tang
Multisource Latent Feature Selective Ensemble Modeling Approach for Small-Sample High-Dimensional Process Data in Applications. IEEE Access 8: 148475-148488 (2020) - [j103]Adolfo Perrusquía, Wen Yu
Robot Position/Force Control in Unknown Environment Using Hybrid Reinforcement Learning. Cybern. Syst. 51(4): 542-560 (2020) - [j102]Jorge Morales, Wen Yu
Bayesian Approach for Estimating the Distribution of Magnitudes, Interevent Times and Distances of Earthquake Sequences. Cybern. Syst. 51(8): 733-745 (2020) - [j101]Wen Yu
Simplified Stable Admittance Control Using End-Effector Orientations. Int. J. Soc. Robotics 12(5): 1061-1073 (2020) - [j100]Jorge Cervantes, Wen Yu
Time-varying output-based Takagi-Sugeno fuzzy controller of uncertain nonlinear systems. Int. J. Syst. Sci. 51(9): 1495-1510 (2020) - [j99]Wen Yu
Nonlinear system modeling using the takagi-sugeno fuzzy model and long-short term memory cells. J. Intell. Fuzzy Syst. 39(3): 4547-4556 (2020) - [j98]Adolfo Perrusquía, Wen Yu
Human-in-the-Loop Control Using Euler Angles. J. Intell. Robotic Syst. 97(2): 271-285 (2020) - [j97]Abigail M. E. Ramírez-Mendoza, Roberto Covarrubias-Fabela
Fuzzy Adaptive Neurons Applied to the Identification of Parameters and Trajectory Tracking Control of a Multi-Rotor Unmanned Aerial Vehicle Based on Experimental Aerodynamic Data. J. Intell. Robotic Syst. 100(2): 647-665 (2020) - [j96]Mario Lopez-Pacheco, Jesús Morales-Valdez
Frequency domain CNN and dissipated energy approach for damage detection in building structures. Soft Comput. 24(20): 15821-15840 (2020) - [j95]Erick De la Rosa, Wen Yu
Data-Driven Fuzzy Modeling Using Restricted Boltzmann Machines and Probability Theory. IEEE Trans. Syst. Man Cybern. Syst. 50(7): 2316-2326 (2020) - 2019
- [j94]Edgar Estrada
Stability and Transparency of Delayed Bilateral Teleoperation with Haptic Feedback. Int. J. Appl. Math. Comput. Sci. 29(4): 681-692 (2019) - [j93]Ricardo Carreño Aguilera
An IoT Expert System Shell in Block-Chain Technology with ELM as Inference Engine. Int. J. Inf. Technol. Decis. Mak. 18(1): 87-104 (2019) - [j92]Adolfo Perrusquía, Wen Yu
Position/force control of robot manipulators using reinforcement learning. Ind. Robot 46(2): 267-280 (2019) - [j91]Wen Yu
Impact of random weights on nonlinear system identification using convolutional neural networks. Inf. Sci. 477: 1-14 (2019) - [j90]Wen Yu
Deep Boltzmann machine for nonlinear system modelling. Int. J. Mach. Learn. Cybern. 10(7): 1705-1716 (2019) - [j89]Jie Yang
Intelligent Demand Forecasting of Smelting Process Using Data-Driven and Mechanism Model. IEEE Trans. Ind. Electron. 66(12): 9745-9755 (2019) - [j88]Satyam Paul
Discrete-time sliding mode for building structure bidirectional active vibration control. Trans. Inst. Meas. Control 41(2): 433-446 (2019) - [j87]James Jian Qiao Yu
Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 20(10): 3806-3817 (2019) - 2018
- [j86]Jian Tang, Junfei Qiao, Jian Zhang, Zhiwei Wu, Tianyou Chai, Wen Yu
Combinatorial optimization of input features and learning parameters for decorrelated neural network ensemble-based soft measuring model. Neurocomputing 275: 1426-1440 (2018) - [j85]Satyam Paul
Bidirectional active control of structures with type-2 fuzzy PD and PID. Int. J. Syst. Sci. 49(4): 766-782 (2018) - 2017
- [j84]Raheleh Jafari, Wen Yu, Xiaoou Li, Sina Razvarz:
Numerical Solution of Fuzzy Differential Equations with Z-numbers Using Bernstein Neural Networks. Int. J. Comput. Intell. Syst. 10(1): 1226-1237 (2017) - [j83]Jian Tang, Jian Zhang, Zhiwei Wu, Zhuo Liu, Tianyou Chai, Wen Yu
Modeling collinear data using double-layer GA-based selective ensemble kernel partial least squares algorithm. Neurocomputing 219: 248-262 (2017) - [j82]Wen Yu
Recent advances and applications in neural networks and intelligent control. Neurocomputing 233: 1-2 (2017) - [j81]David Luviano Cruz
Path planning of multi-agent systems in unknown environment with neural kernel smoothing and reinforcement learning. Neurocomputing 233: 34-42 (2017) - [j80]David Luviano Cruz
Continuous-time path planning for multi-agents with fuzzy reinforcement learning. J. Intell. Fuzzy Syst. 33(1): 491-501 (2017) - [j79]Jorge Cervantes, Wen Yu
On-line T-S fuzzy control using Riccati differential equation. J. Intell. Fuzzy Syst. 33(6): 3871-3881 (2017) - [j78]Jorge Cervantes, Wen Yu
Takagi-Sugeno Dynamic Neuro-Fuzzy Controller of Uncertain Nonlinear Systems. IEEE Trans. Fuzzy Syst. 25(6): 1601-1615 (2017) - 2016
- [j77]Raheleh Jafari, Wen Yu
Fuzzy Differential Equations for Nonlinear System Modeling With Bernstein Neural Networks. IEEE Access 4: 9428-9436 (2016) - [j76]Wen Yu
Ellipsoid SLAM: a novel set membership method for simultaneous localization and mapping. Auton. Robots 40(1): 125-137 (2016) - [j75]Erik Zamora
Novel Autonomous Navigation Algorithms in Dynamic and Unknown Environments. Cybern. Syst. 47(7) (2016) - [j74]Javier Garrido
Robot trajectory generation using modified hidden Markov model and Lloyd's algorithm in joint space. Eng. Appl. Artif. Intell. 53: 32-40 (2016) - [j73]Jian Tang, Zhuo Liu, Jian Zhang, Zhiwei Wu, Tianyou Chai, Wen Yu
Kernel latent features adaptive extraction and selection method for multi-component non-stationary signal of industrial mechanical device. Neurocomputing 216: 296-309 (2016) - [j72]Suresh Thenozhi
Sliding mode control of wind-induced vibrations using fuzzy sliding surface and gain adaptation. Int. J. Syst. Sci. 47(6): 1258-1267 (2016) - [j71]Erick De la Rosa, Wen Yu
Randomized algorithms for nonlinear system identification with deep learning modification. Inf. Sci. 364-365: 197-212 (2016) - [j70]Xiaoou Li
Structural Health Monitoring of Building Structures With Online Data Mining Methods. IEEE Syst. J. 10(3): 1291-1300 (2016) - [j69]Jian Tang
A Comparative Study That Measures Ball Mill Load Parameters Through Different Single-Scale and Multiscale Frequency Spectra-Based Approaches. IEEE Trans. Ind. Informatics 12(6): 2008-2019 (2016) - 2015
- [j68]Javier Garrido
Human behavior learning for robot in joint space. Neurocomputing 155: 22-31 (2015) - [j67]Dianhui Wang, Wen Yu
Guest Editorial: Special issue on computational intelligence for industrial data processing and analysis. Neurocomputing 169: 358-360 (2015) - [j66]Zhuo Liu, Tianyou Chai, Wen Yu
Multi-frequency signal modeling using empirical mode decomposition and PCA with application to mill load estimation. Neurocomputing 169: 392-402 (2015) - [j65]Raheleh Jafari, Wen Yu
Fuzzy control for uncertainty nonlinear systems with dual fuzzy equations. J. Intell. Fuzzy Syst. 29(3): 1229-1240 (2015) - [j64]Wen Yu
Neural Feedback Passivity of Unknown Nonlinear Systems via Sliding Mode Technique. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1560-1566 (2015) - 2014
- [j63]Jair Cervantes
Imbalanced data classification via support vector machines and genetic algorithms. Connect. Sci. 26(4): 335-348 (2014) - [j62]Asdrúbal López-Chau, Xiaoou Li
Support vector machine classification for large datasets using decision tree and Fisher linear discriminant. Future Gener. Comput. Syst. 36: 57-65 (2014) - [j61]Wen Yu
Stable Neural Pid Anti-Swing Control For An Overhead Crane. Intell. Autom. Soft Comput. 20(2): 145-158 (2014) - [j60]Xiaoou Li
Fast Support Vector Machine Classification for Large Data Sets. Int. J. Comput. Intell. Syst. 7(2): 197-212 (2014) - 2013
- [j59]Suresh Thenozhi
Advances in modeling and vibration control of building structures. Annu. Rev. Control. 37(2): 346-364 (2013) - [j58]Asdrúbal López-Chau
Convex and concave hulls for classification with support vector machine. Neurocomputing 122: 198-209 (2013) - [j57]Wen Yu
A novel PID tuning method for robot control. Ind. Robot 40(6): 574-582 (2013) - [j56]Xiaoou Li, Wen Yu, Xiaoli Li:
On-line modeling via fuzzy support vector machines and neural networks. J. Intell. Fuzzy Syst. 24(3): 665-675 (2013) - [j55]Asdrúbal López-Chau
Large data sets classification using convex-concave hull and support vector machine. Soft Comput. 17(5): 793-804 (2013) - [j54]Jian Tang, Tianyou Chai, Wen Yu
Modeling Load Parameters of Ball Mill in Grinding Process Based on Selective Ensemble Multisensor Information. IEEE Trans Autom. Sci. Eng. 10(3): 726-740 (2013) - [j53]Wen Yu
Neural PID Control of Robot Manipulators With Application to an Upper Limb Exoskeleton. IEEE Trans. Cybern. 43(2): 673-684 (2013) - 2012
- [j52]Xiaoou Li
Anti-Swing Control For An Overhead Crane With Fuzzy Compensation. Intell. Autom. Soft Comput. 18(1): 1-11 (2012) - [j51]Xiaoou Li
Fast classification for large data sets via random selection clustering and Support Vector Machines. Intell. Data Anal. 16(6): 897-914 (2012) - [j50]Jian Tang, Tianyou Chai, Lijie Zhao, Wen Yu
Soft sensor for parameters of mill load based on multi-spectral segments PLS sub-models and on-line adaptive weighted fusion algorithm. Neurocomputing 78(1): 38-47 (2012) - [j49]Jian Tang, Wen Yu
On-line principal component analysis with application to process modeling. Neurocomputing 82: 167-178 (2012) - [j48]Juan Jose Cordova, Wen Yu
Two Types of Haar Wavelet Neural Networks for Nonlinear System Identification. Neural Process. Lett. 35(3): 283-300 (2012) - [j47]Wei Wang, Tianyou Chai, Wen Yu
Modeling Component Concentrations of Sodium Aluminate Solution Via Hammerstein Recurrent Neural Networks. IEEE Trans. Control. Syst. Technol. 20(4): 971-982 (2012) - 2011
- [j46]Wen Yu
Automated nonlinear system modelling with multiple neural networks. Int. J. Syst. Sci. 42(10): 1683-1695 (2011) - [j45]Wen Yu
Stable adaptive compensation with fuzzy CMAC for an overhead crane. Inf. Sci. 181(21): 4895-4907 (2011) - [j44]Wei Wang, Wen Yu
PCA and neural networks-based soft sensing strategy with application in sodium aluminate solution. J. Exp. Theor. Artif. Intell. 23(1): 127-136 (2011) - [j43]Wen Yu
Two-stage neural sliding-mode control of magnetic levitation in minimal invasive surgery. Neural Comput. Appl. 20(8): 1141-1147 (2011) - 2010
- [j42]Qiumei Cong, Wen Yu
Cascade Process Modeling with Mechanism-Based Hierarchical Neural Networks. Int. J. Neural Syst. 20(1): 1-11 (2010) - [j41]Wen Yu
Automated Nonlinear System Modeling with Multiple Fuzzy Neural Networks and Kernel Smoothing. Int. J. Neural Syst. 20(5): 429-435 (2010) - [j40]Wen Yu
Modeling and Adaptive Control with Fuzzy Neural Networks - Selected Papers from the 6th International Symposium on Neural Networks. Neurocomputing 73(13-15): 2430 (2010) - [j39]Israel Cruz-Vega, Wen Yu
Multiple fuzzy neural networks modeling with sparse data. Neurocomputing 73(13-15): 2446-2453 (2010) - [j38]Wen Yu
Fuzzy modelling via on-line support vector machines. Int. J. Syst. Sci. 41(11): 1325-1335 (2010) - 2009
- [j37]Wen Yu
Online fuzzy modeling with structure and parameter learning. Expert Syst. Appl. 36(4): 7484-7492 (2009) - [j36]Zhanshan Wang, Huaguang Zhang, Wen Yu
Robust stability criteria for interval Cohen-Grossberg neural networks with time varying delay. Neurocomputing 72(4-6): 1105-1110 (2009) - [j35]Wen Yu
Some novel analysis and learning methods for neural networks - Selected papers from the 5th International Symposium on Neural Networks. Neurocomputing 73(1-3): 97 (2009) - [j34]José de Jesús Rubio
Neural network training with optimal bounded ellipsoid algorithm. Neural Comput. Appl. 18(6): 623-631 (2009) - [j33]Wen Yu
A Novel Fuzzy-Neural-Network Modeling Approach to Crude-Oil Blending. IEEE Trans. Control. Syst. Technol. 17(6): 1424-1431 (2009) - [j32]Zhanshan Wang, Huaguang Zhang, Wen Yu
Robust Stability of Cohen-Grossberg Neural Networks via State Transmission Matrix. IEEE Trans. Neural Networks 20(1): 169-174 (2009) - [j31]Wen Yu
Recurrent Neural Networks Training With Stable Bounding Ellipsoid Algorithm. IEEE Trans. Neural Networks 20(6): 983-991 (2009) - 2008
- [j30]Rafael Martínez-Guerra
Chaotic Synchronization and Secure Communication via Sliding-Mode Observer. Int. J. Bifurc. Chaos 18(1): 235-243 (2008) - [j29]Julio César Tovar, Wen Yu
Non-linear system modelling via online clustering and fuzzy support vector machines. Int. J. Model. Identif. Control. 4(2): 101-111 (2008) - [j28]Jair Cervantes
Support vector machine classification for large data sets via minimum enclosing ball clustering. Neurocomputing 71(4-6): 611-619 (2008) - [j27]Wen Yu
On-line fuzzy modeling via clustering and support vector machines. Inf. Sci. 178(22): 4264-4279 (2008) - [j26]Changyin Sun, Wen Yu
Neural networks for control, robotics and diagnostics. Neural Comput. Appl. 17(4): 325-326 (2008) - [j25]Floriberto Ortiz Rodriguez, Wen Yu
Nonlinear Systems Identification via Two Types of Recurrent Fuzzy CMAC. Neural Process. Lett. 28(1): 49-62 (2008) - [j24]Juan Resendiz, Wen Yu
Two-Stage Neural Observer for Mechanical Systems. IEEE Trans. Circuits Syst. II Express Briefs 55-II(10): 1076-1080 (2008) - [j23]Wen Yu
Hierarchical Fuzzy CMAC for Nonlinear Systems Modeling. IEEE Trans. Fuzzy Syst. 16(5): 1302-1314 (2008) - 2007
- [j22]Rigoberto Toxqui, Wen Yu, Xiaoou Li:
Stable antiswing PD control for overhead crane systems with velocity estimation and uncertainties compensation. Int. J. Autom. Control. 1(4): 342-357 (2007) - [j21]José de Jesús Rubio
Nonlinear system identification with recurrent neural networks and dead-zone Kalman filter algorithm. Neurocomputing 70(13-15): 2460-2466 (2007) - [j20]Zhanshan Wang, Huaguang Zhang, Wen Yu:
Robust exponential stability analysis of neural networks with multiple time delays. Neurocomputing 70(13-15): 2534-2543 (2007) - [j19]Wen Yu, Marco A. Moreno-Armendáriz, Floriberto Ortiz Rodriguez:
System identification using hierarchical fuzzy neural networks with stable learning algorithm. J. Intell. Fuzzy Syst. 18(2): 171-183 (2007) - [j18]Wen Yu, Xiaoou Li
Passivity Analysis of Dynamic Neural Networks with Different Time-scales. Neural Process. Lett. 25(2): 143-155 (2007) - [j17]José de Jesús Rubio
Stability Analysis of Nonlinear System Identification via Delayed Neural Networks. IEEE Trans. Circuits Syst. II Express Briefs 54-II(2): 161-165 (2007) - 2006
- [j16]Wen Yu, Alejandro Cruz Sandoval:
Some New Stability Properties of Dynamic Neural Networks with Different Time-scales. Int. J. Neural Syst. 16(3): 191-200 (2006) - [j15]Wen Yu:
Multiple recurrent neural networks for stable adaptive control. Neurocomputing 70(1-3): 430-444 (2006) - [j14]Wen Yu, Xiaoou Li:
Pd Control of robot with velocity estimation and uncertainties compensation. Int. J. Robotics Autom. 21(1) (2006) - 2005
- [j13]Wen Yu:
High-gain observer for chaotic synchronization and secure communication. Int. J. Commun. Syst. 18(5): 487-500 (2005) - [j12]Wen Yu, América Morales:
Neural networks for the optimization of crude oil blending. Int. J. Neural Syst. 15(5): 377-389 (2005) - [j11]Wen Yu, Marco A. Moreno-Armendáriz
Robust Visual Servoing of Robot Manipulators with Neuro Compensation. J. Frankl. Inst. 342(7): 824-838 (2005) - [j10]Wen Yu:
State-Space Recurrent Fuzzy Neural Networks for Nonlinear System Identification. Neural Process. Lett. 22(3): 391-404 (2005) - 2004
- [j9]Wen Yu:
Nonlinear system identification using discrete-time recurrent neural networks with stable learning algorithms. Inf. Sci. 158: 131-147 (2004) - [j8]Wen Yu, Xiaoou Li:
Fuzzy identification using fuzzy neural networks with stable learning algorithms. IEEE Trans. Fuzzy Syst. 12(3): 411-420 (2004) - 2002
- [j7]Xianping Guo, Wen Yu, Xiaoou Li
Minimax control for discrete-time time-varying stochastic systems. Autom. 38(11): 1991-1998 (2002) - [j6]Wen Yu, Xiaoou Li:
Chemical Process Identification with Multiple Neural Networks. Int. J. Comput. Eng. Sci. 3(4): 385-408 (2002) - [j5]Xiaoou Li
Dynamic system identification via recurrent multilayer perceptron. Inf. Sci. 147(1-4): 45-63 (2002) - 2001
- [j4]Wen Yu, Xiaoou Li
Some new results on system identification with dynamic neural networks. IEEE Trans. Neural Networks 12(2): 412-417 (2001) - 2000
- [j3]Xiaoou Li
Dynamic knowledge inference and learning under adaptive fuzzy Petri net framework. IEEE Trans. Syst. Man Cybern. Part C 30(4): 442-450 (2000) - 1999
- [j2]Alexander S. Poznyak, Wen Yu, Edgar N. Sánchez, José P. Pérez
Nonlinear adaptive trajectory tracking using dynamic neural networks. IEEE Trans. Neural Networks 10(6): 1402-1411 (1999) - 1998
- [j1]Wen Yu, Manuel de la Sen
A new adaptive control scheme with arbitrary nonlinear inputs. Int. J. Syst. Sci. 29(4): 407-417 (1998)
Conference and Workshop Papers
- 2024
- [c183]Suting Gao, Wen Yu, Tianyou Chai:
Semi-Supervised Caustic Concentration Prediction in Alumina Production with Transformers. IECON 2024: 1-6 - [c182]Shengbo Hong, Wen Yu, Yingqin Zhu, Tianyou Chai, Qingda Chen, Yao Jia:
Evolving Neural Networks for Bi-Level Human Decision-Making Prediction in Mineral Processing. IECON 2024: 1-6 - [c181]Xiaoou Li, Yingqin Zhu, Wen Yu:
Smartphone-Based Structural Health Monitoring with Neural Network Regression for Damage & Detection. SMC 2024: 14-19 - 2023
- [c180]Jorge Ramírez, Wen Yu:
Safe Exploration in Reinforcement Learning for Learning from Human Experts. AIBThings 2023: 1-5 - [c179]Andres Rodriguez-Torres
Vibration Control for a Second-Order System via a Magnetorheological Damper. CoDIT 2023: 321-326 - [c178]Ivan Hernandez
Optimal PD Control for Robots Using GAN and LSTM. SMC 2023: 2628-2633 - [c177]Francisco Vega, Xiaoou Li, Brisbane Ovilla-Martínez, Wen Yu:
Type-2 Fuzzy LSTM for Nonlinear System Modeling. SSCI 2023: 158-163 - [c176]Guillermo Puriel-Gil, Xiaoou Li, Brisbane Ovilla-Martinez, Wen Yu:
Robot PID Control Using Reinforcement Learning. SSCI 2023: 885-890 - [c175]Eduardo Yudho, Xiaoou Li, Brisbane Ovilla-Martínez, Wen Yu:
Model-Free Optimal Control Based on Reinforcement Learning for Rotary Inverted Pendulum. SSCI 2023: 1269-1273 - 2022
- [c174]Diego Peredo, Wen Yu
Comprehensive Review of Intelligent Modeling and Control of Smart Building. CASE 2022: 2000-2005 - [c173]Karla Rincon, Wen Yu, Isaac Chairez:
Adaptive control of a biped robot mobilized by linear actuators considering articular restrictions. CoDIT 2022: 457-462 - [c172]Jorge Morales, Wen Yu
Bayesian inference for neural network based high-precision modeling. SSCI 2022: 442-447 - [c171]Jorge Ramírez, Wen Yu
Redundant robot control with learning from expert demonstrations. SSCI 2022: 715-720 - 2021
- [c170]Salvador Ortiz, Wen Yu
Autonomous Navigation Using Robust SLAM and Genetic Algorithm. CASE 2021: 1346-1351 - [c169]Adolfo Perrusquía, Wen Yu
Human-Behavior Learning for Infinite-Horizon Optimal Tracking Problems of Robot Manipulators. CDC 2021: 57-62 - [c168]Adolfo Perrusquía, Ruben Garrido
An Input Error Method for Parameter Identification of a Class of Euler-Lagrange Systems. CCE 2021: 1-6 - [c167]Andres Rodriguez-Torres
Parametric identification of a magnetorheological damper based on Genetic Algorithm. CCE 2021: 1-5 - [c166]Jorge Morales, Wen Yu
A novel Bayesian inference based training method for time series forecasting. SMC 2021: 909-913 - [c165]Mario Maya, Wen Yu
Time series forecasting with missing data using neural network and meta-transfer learning. SSCI 2021: 1-6 - 2020
- [c164]Adolfo Perrusquía, Wen Yu
Redundant Robot Control Using Multi Agent Reinforcement Learning. CASE 2020: 1650-1655 - [c163]Andres Rodriguez-Torres
Modeling and Proportional-Derivative controller design for buildings based on vibration frequencies. CoDIT 2020: 575-580 - [c162]Francisco Vega, Wen Yu
Fuzzy Modeling Using LSTM Cells for Nonlinear Systems. FUZZ-IEEE 2020: 1-8 - [c161]Erick García López, Wen Yu
Multi-robot manipulation using formation control and human-in-the-loop scheme. CCE 2020: 1-6 - [c160]Andres Rodriguez-Torres
Active Vibration Control for Building Structures based on ℋ∞ Synthesis Problem. CCE 2020: 1-6 - [c159]Adolfo Perrusquía, Wen Yu
Neural H2 Control Using Reinforcement Learning for Unknown Nonlinear Systems. IJCNN 2020: 1-7 - [c158]Adolfo Perrusquía, Wen Yu
Robust Control in the Worst Case Using Continuous Time Reinforcement Learning. SMC 2020: 1951-1954 - 2019
- [c157]Jesús Morales-Valdez, Mario Antonio Lopez, Wen Yu
Damage detection of building structure based on vibration data and hysteretic model. CASE 2019: 608-613 - [c156]Adolfo Perrusquía, Wen Yu
Large space dimension Reinforcement Learning for Robot Position/Force Discrete Control. CoDIT 2019: 91-96 - [c155]Mario Maya, Wen Yu
Short-term prediction of the earthquake through Neural Networks and Meta-Learning. CCE 2019: 1-6 - [c154]Adolfo Perrusquía, Wen Yu
Optimal contact force of Robots in Unknown Environments using Reinforcement Learning and Model-free controllers. CCE 2019: 1-6 - [c153]Adolfo Perrusquía, Juan Alejandro Flores Campos
Simple Optimal Tracking Control for a Class of Closed-Chain Mechanisms in Task Space. CCE 2019: 1-6 - [c152]Jorge Ramírez, Wen Yu
Human Behavior Learning in Joint Space Using Dynamic Time Warping and Neural Networks. CCE 2019: 1-6 - [c151]Karla Rincon, Isaac Chairez
Fixed-time robust output feedback control of a restricted state biped robot based on a tangent barrier Lyapunov function. CCE 2019: 1-6 - [c150]Raheleh Jafari, Sina Razvarz, Cristóbal Vargas-Jarillo, Wen Yu
Control of Flow Rate in Pipeline Using PID Controller. ICNSC 2019: 293-298 - [c149]Salvador Ortiz, Wen Yu
Autonomous navigation in unknown environments using robust SLAM. IECON 2019: 5590-5595 - [c148]Raheleh Jafari, Sina Razvarz, Wen Yu
Genetic Algorithm Modeling for Photocatalytic Elimination of Impurity in Wastewater. IntelliSys (1) 2019: 228-236 - [c147]Adolfo Perrusquía, Wen Yu
Task space human-robot interaction using angular velocity Jacobian. ISMR 2019: 1-7 - [c146]Wen Yu
Fast Training of Deep LSTM Networks. ISNN (1) 2019: 3-10 - [c145]Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Wen Yu
Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques: A Survey. UKCI 2019: 3-14 - 2018
- [c144]Erick García López, Wen Yu
A Haptic Bilateral Robots System for Wrist Rehabilitation after Stroke. CASE 2018: 130-135 - [c143]Xiaoou Li
A Hybrid Fuzzy Petri Nets and Neural Networks Framework for Modeling Critical Infrastructure Systems. FUZZ-IEEE 2018: 1-6 - [c142]Salvador Ortiz-Santos, Wen Yu
Sliding mode three-dimension SLAM with application to quadrotor helicopter. CCE 2018: 1-6 - [c141]Guillermo Puriel-Gil, Wen Yu
Reinforcement Learning Compensation based PD Control for Inverted Pendulum. CCE 2018: 1-6 - [c140]Jian Tang, Jun-Fei Qiao, Wen Yu
Selective Ensemble Modeling Approach based on Variable Importance of Projection With its Application. ICIA 2018: 99-104 - [c139]Salvador Ortiz, Wen Yu
Sliding Mode SLAM for Robust Simultaneous Localization and Mapping. IECON 2018: 5674-5679 - 2017
- [c138]Mario Lopez, Wen Yu
Nonlinear system modeling using convolutional neural networks. CCE 2017: 1-5 - [c137]Satyam Paul
Type-2 fuzzy PID for active control of bidirectional structures. CCE 2017: 1-4 - [c136]Sina Razvarz
PSO and NN modeling for photocatalytic removal of pollution in wastewater. CCE 2017: 1-6 - [c135]Jian Tang, Jun-Fei Qiao, Zhuo Liu, Tianyou Chai, Wen Yu
Modeling mill load parameter based on LASSO using multi-scale high dimensional frequency spectra data1. ICIA 2017: 909-914 - [c134]Raheleh Jafari, Wen Yu
Uncertain nonlinear system control with fuzzy differential equations and Z-numbers. ICIT 2017: 749-754 - [c133]Raheleh Jafari, Wen Yu
Uncertain nonlinear system control with fuzzy differential equations and Z-numbers. ICIT 2017: 890-895 - [c132]Erick De la Rosa, Wen Yu
Fuzzy Modeling from Black-Box Data with Deep Learning Techniques. ISNN (1) 2017: 304-312 - [c131]Erick De la Rosa, Wen Yu
Probability based fuzzy modeling. SMC 2017: 1633-1638 - 2016
- [c130]Jorge Cervantes, Wen Yu
Output based backstepping control for trajectory tracking of an Autonomous Underwater Vehicle. ACC 2016: 6423-6428 - [c129]Wen Yu
T-S fuzzy control based on Riccati differential equation. FUZZ-IEEE 2016: 691-696 - [c128]Edgar Garcia Avila, Wen Yu
Stable PID tracking control with application to a 7-DoF exoskeleton robot. CCE 2016: 1-6 - [c127]Xiaoou Li
Dynamic feedforward network architecture design based on information entropy. CCE 2016: 1-6 - [c126]Satyam Paul
Stable active vibration control of building structure subjected to bidirectional earthquake. CCE 2016: 1-6 - [c125]Jian Tang, Tianyou Chai, Si-Zhao Joe Qin
Feature selection based on concurrent projection to latent structures for high dimensional spectra data. ICIA 2016: 234-239 - [c124]Wen Yu
Fuzzy output feedback control via sliding mode observer. ICNSC 2016: 1-6 - [c123]Wen Yu
Stability analysis of wireless networked control with time-varying sampling period. ICNSC 2016: 1-4 - [c122]Wen Yu
Hierarchical dynamic neural networks for cascade system modeling with application to wastewater treatment. IJCNN 2016: 483-488 - [c121]Raheleh Jafari, Wen Yu
Solving fuzzy differential equation with Bernstein neural networks. SMC 2016: 1245-1250 - [c120]Erick De la Rosa, Wen Yu
Nonlinear system modeling with deep neural networks and autoencoders algorithm. SMC 2016: 2157-2162 - 2015
- [c119]Xiaoou Li
Data Stream Classification for Structural Health Monitoring via On-Line Support Vector Machines. BigDataService 2015: 400-405 - [c118]David Luviano Cruz
Path planning in unknown environment with kernel smoothing and reinforcement learning for multi-agent systems. CCE 2015: 1-6 - [c117]Raheleh Jafari, Wen Yu
Artificial neural network approach for solving strongly degenerate parabolic and burgers-fisher equations. CCE 2015: 1-6 - [c116]Williams Pantoja, Xiaoou Li
Bipedal walking control in dynamic environment using data mining techniques. CCE 2015: 1-6 - [c115]Alejandro Rodríguez
A 3-D hand rehabilitation system using haptic device. CCE 2015: 1-6 - [c114]Erick De la Rosa, Wen Yu
Nonlinear system identification using deep learning and randomized algorithms. ICIA 2015: 274-279 - [c113]Jian Tang, Meiying Jia, Zhuo Liu, Tianyou Chai, Wen Yu
Modeling high dimensional frequency spectral data based on virtual sample generation technique. ICIA 2015: 1090-1095 - [c112]Erick De la Rosa, Wen Yu
Restricted Boltzmann Machine for Nonlinear System Modeling. ICMLA 2015: 443-446 - [c111]Salvador Villegas, Xiaoou Li
Detection of building structure damage with support vector machine. ICNSC 2015: 619-624 - [c110]Raheleh Jafari, Wen Yu
Uncertainty Nonlinear Systems Modeling with Fuzzy Equations. IRI 2015: 182-188 - [c109]Raheleh Jafari, Wen Yu
Uncertainty Nonlinear Systems Control with Fuzzy Equations. SMC 2015: 2885-2890 - 2014
- [c108]Erik Zamora
Mobile robot navigation in dynamic and unknown environments. CCA 2014: 1046-1051 - [c107]Javier Garrido, Wen Yu
Modular design and modeling of an upper limb exoskeleton. BioRob 2014: 508-513 - [c106]Hipólito Aguilar-Sierra, Ricardo López, Wen Yu
A lower limb exoskeleton with hybrid actuation. BioRob 2014: 695-700 - [c105]Erik Zamora
Ellipsoid method for Simultaneous Localization and Mapping of mobile robot. CDC 2014: 5334-5339 - [c104]José de Jesús Rubio, Luis Arturo Soriano, Wen Yu
Wind turbine modeling with an analytic algorithm. EAIS 2014: 1-3 - [c103]José de Jesús Rubio, Luis Arturo Soriano, Wen Yu
Wind turbine modeling with the slopes algorithm. EAIS 2014: 1-3 - [c102]Suresh Thenozhi
Fuzzy sliding surface control of wind-induced vibration. FUZZ-IEEE 2014: 895-900 - [c101]Xiaoou Li
Numerical integrator for inertial sensors in smartphone with application to tele-manipulation of robot. ICNSC 2014: 361-366 - [c100]Wen Yu
Hybrid neural networks for gasoline blending system modeling. IJCNN 2014: 3272-3277 - [c99]Javier Garrido
Trajectory generation in joint space using modified hidden Markov model. RO-MAN 2014: 429-434 - [c98]Erik Zamora
Novel autonomous navigation algorithms in dynamic and unknown environments. SMC 2014: 1276-1281 - [c97]David Luviano Cruz
Multi-agent path planning in unknown environment with reinforcement learning and neural network. SMC 2014: 3458-3463 - 2013
- [c96]Francisco Panuncio Cruz, Wen Yu
Stable neural PID anti-swing control for an overhead crane. ISIC 2013: 53-58 - [c95]Wen Yu, Roberto Carmona Rodriguez, Xiaoou Li:
Neural PID admittance control of a robot. ACC 2013: 4963-4968 - [c94]Wen Yu
Robust observers for a class of uncertainty nonlinear systems. CDC 2013: 5078-5083 - [c93]Wen Yu
Neural passivity control of nonlinear multivariable systems. CDC 2013: 6812-6817 - [c92]Jair Cervantes
A New Approach to Detect Splice-Sites Based on Support Vector Machines and a Genetic Algorithm. CIARP (2) 2013: 342-349 - [c91]Francisco Panuncio Cruz, Wen Yu:
Robust feedback passivity via dynamic neural networks. IJCNN 2013: 1-6 - [c90]Carlos Parga, Xiaoou Li
Smartphone-Based Human Machine Interface with Application to Remote Control of Robot Arm. SMC 2013: 2316-2321 - [c89]Jair Cervantes
Using Genetic Algorithm to Improve Classification Accuracy on Imbalanced Data. SMC 2013: 2659-2664 - 2012
- [c88]Debbie Hernández
Robot PD control with parallel/serial neural network and sliding mode compensations. CCA 2012: 1148-1153 - [c87]Juan Jose Cordova, Wen Yu
Haar wavelet neural networks for nonlinear system identification. ISIC 2012: 276-281 - [c86]Wen Yu
Stable PID control for robot manipulators with neural compensation. CDC 2012: 5398-5403 - [c85]Asdrúbal López-Chau
Convex-Concave Hull for Classification with Support Vector Machine. ICDM Workshops 2012: 431-438 - [c84]Asdrúbal López-Chau
Data Selection Using Decision Tree for SVM Classification. ICTAI 2012: 742-749 - [c83]Suresh Thenozhi
A novel numerical integrator for structural control and monitoring. IRI 2012: 680-686 - [c82]Jian Tang, Lijie Zhao, Jia Long, Tianyou Chai, Wen Yu
Selective Ensemble Modeling Parameters of Mill Load Based on Shell Vibration Signal. ISNN (1) 2012: 489-497 - 2011
- [c81]Wen Yu, Jacob Rosen, Xiaoou Li:
PID admittance control for an upper limb exoskeleton. ACC 2011: 1124-1129 - [c80]Jian Tang, Tianyou Chai, Wen Yu
KPCA based multi-spectral segments feature extraction and GA based Combinatorial optimization for frequency spectrum data modeling. CDC/ECC 2011: 5193-5198 - [c79]Julio César Tovar, Wen Yu
Modeling via on-line clustering and fuzzy support vector machines for nonlinear system. CDC/ECC 2011: 8267-8272 - [c78]Xiaoou Li
A systematic tunning method of PID controller for robot manipulators. ICCA 2011: 274-279 - [c77]Xiaoou Li
Modeling and neuro control for multicomponent nonideal distillation column. ICCA 2011: 979-984 - [c76]Debbie Hernández
Neural PD control with second-order sliding mode compensation for robot manipulators. IJCNN 2011: 2395-2402 - [c75]Juan Jose Cordova, Wen Yu
Optimization of fixed Wavelet Neural Networks. IJCNN 2011: 3003-3007 - [c74]Asdrúbal López-Chau
Border Samples Detection for Data Mining Applications Using Non Convex Hulls. MICAI (2) 2011: 261-272 - 2010
- [c73]Xiaoou Li
Neural Sliding Mode Control for Magnetic Levitation Systems. CCA 2010: 615-619 - [c72]Wen Yu
Discrete-time neural control without projection for a class of nonlinear systems. ISIC 2010: 1504-1508 - [c71]Lijie Zhao, Jian Tang, Wen Yu
Modelling of mill load for wet ball mill via GA and SVM based on spectral feature. BIC-TA 2010: 874-879 - [c70]Wen Yu
A novel linear PID controller for an upper limb exoskeleton. CDC 2010: 3548-3553 - [c69]Israel Cruz-Vega, Wen Yu
Multiple fuzzy neural networks modeling with sparse data. FUZZ-IEEE 2010: 1-7 - [c68]Xiaoou Li
A Novel SVM Classification Method for Large Data Sets. GrC 2010: 297-302 - [c67]Wei Wang, Lijie Zhao, Tianyou Chai, Wen Yu
Estimation of component concentrations of sodium aluminate solution via PLS and Hammerstein recurrent neural networks. IWACI 2010: 107-111 - [c66]Jian Tang, Wen Yu
Modeling of operating parameters for wet ball mill by modified GA-KPLS. IWACI 2010: 282-287 - [c65]Asdrúbal López-Chau
Support vector candidates pre selection strategy based on non convex hulls. CCE 2010: 345-350 - [c64]Juan Jose Cordova, Wen Yu
Recurrent wavelets neural networks learning via dead zone Kalman filter. IJCNN 2010: 1-7 - [c63]Xiaoou Li
Neural modeling with automatic structure selection. IRI 2010: 314-317 - 2009
- [c62]Juan Jose Cordova, Wen Yu
Stable fourier neural networks with application to modeling lettuce growth. IJCNN 2009: 591-596 - [c61]Wen Yu
Neural sliding mode control with finite time convergence. IJCNN 2009: 3464-3470 - [c60]Jair Cervantes
Splice Site Detection in DNA Sequences Using a Fast Classification Algorithm. SMC 2009: 2683-2688 - 2008
- [c59]Juan Resendiz, Wen Yu
Discrete-time sliding mode neural observer for continuous time mechanical systems. CDC 2008: 2838-2843 - [c58]Jair Cervantes, Xiaoou Li, Wen Yu:
Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution. DMIN 2008: 30-35 - [c57]Julio César Tovar, Wen Yu
Automated fuzzy neural networks for nonlinear system identification. FUZZ-IEEE 2008: 1159-1165 - [c56]Wen Yu
Robust adaptive control via neural linearization and four types of compensation. IJCNN 2008: 1807-1813 - [c55]Julio César Tovar, Wen Yu:
On-Line Modeling Via Fuzzy Support Vector Machines. MICAI 2008: 220-229 - [c54]Jair Cervantes
Support Vector classification for large data sets by reducing training data with change of classes. SMC 2008: 2609-2614 - 2007
- [c53]Xiaoou Li
Neural identification based on sliding mode observer. CCA 2007: 1-6 - [c52]Julio César Tovar, Wen Yu:
Fuzzy neural modeling via clustering and support vector machines. CCA 2007: 24-29 - [c51]Floriberto Ortiz-Rodríguez, Wen Yu, Marco A. Moreno-Armendáriz
Anti-swing control with hierarchical fuzzy CMAC compensation for an overhead crane. ISIC 2007: 333-338 - [c50]Wen Yu, Xiaoou Li
Recurrent fuzzy neural networks for nonlinear system identification. ISIC 2007: 590-595 - [c49]Yi Zhou, Meng Joo Er, Wen Yu
A Hybrid Approach for Automatic Generation of Fuzzy Inference Systems without Supervised Learning. ACC 2007: 3371-3376 - [c48]José de Jesús Rubio
Recurrent neural networks training with optimal bounded ellipsoid algorithm. ACC 2007: 4768-4773 - [c47]Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moreno-Armendáriz
Recurrent fuzzy CMAC in hierarchical form for dynamic system identification. ACC 2007: 5706-5711 - [c46]Julio César Tovar, Wen Yu, Xiaoou Li:
Fuzzy Modeling Via On-Line Clustering and Support Vector Machine. ICIC (3) 2007: 294-303 - [c45]Floriberto Ortiz Rodriguez, Wen Yu
Nonlinear systems identification via two types of recurrent fuzzy CMAC. IJCNN 2007: 823-828 - [c44]Kang Li, Jian Xun Peng, Minrui Fei, Xiaoou Li, Wen Yu:
Integrated Analytic Framework for Neural Network Construction. ISNN (2) 2007: 483-492 - [c43]Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moreno-Armendáriz, Xiaoou Li:
Recurrent Fuzzy CMAC for Nonlinear System Modeling. ISNN (1) 2007: 487-495 - [c42]José de Jesús Rubio, Wen Yu:
Neural Networks Training with Optimal Bounded Ellipsoid Algorithm. ISNN (1) 2007: 1173-1182 - [c41]Xiaoou Li
Two-stage svm classification for large data sets via randomly reducing and recovering training data. SMC 2007: 3633-3638 - 2006
- [c40]José de Jesús Rubio, Wen Yu, Andrés Ferreyra
A new discrete-time sliding-mode control with neural identification. ACC 2006: 1-6 - [c39]Wen Yu, Xiaoou Li
Fuzzy Neural Identification by Online Clustering with Application on Crude Oil Blending. FUZZ-IEEE 2006: 269-276 - [c38]Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moreno-Armendáriz:
System Identification Using Hierarchical Fuzzy CMAC Neural Networks. ICIC (2) 2006: 230-235 - [c37]Alejandro Cruz Sandoval, Wen Yu, Xiaoou Li:
Passivity Analysis for Neuro Identifier with Different Time-Scales. ICIC (1) 2006: 428-433 - [c36]Alejandro Cruz Sandoval, Wen Yu, Xiaoou Li:
Some stability properties of dynamic neural networks with different time-scales. IJCNN 2006: 4218-4224 - [c35]Rigoberto Toxqui, Wen Yu, Xiaoou Li:
Anti-swing control for overhead crane with neural compensation. IJCNN 2006: 4697-4703 - [c34]Alejandro Cruz Sandoval, Wen Yu:
Passivity Analysis of Dynamic Neural Networks with Different Time-Scales. ISNN (1) 2006: 86-92 - [c33]Marco A. Moreno-Armendáriz
Training Cellular Neural Networks with Stable Learning Algorithm. ISNN (1) 2006: 558-563 - [c32]José de Jesús Rubio, Wen Yu:
Discrete-Time Sliding-Mode Control Based on Neural Networks. ISNN (2) 2006: 956-961 - [c31]Rigoberto Toxqui, Wen Yu, Xiaoou Li
PD Control of Overhead Crane Systems with Neural Compensation. ISNN (2) 2006: 1110-1115 - [c30]Jair Cervantes
Support Vector Machine Classification Based on Fuzzy Clustering for Large Data Sets. MICAI 2006: 572-582 - 2005
- [c29]Wen Yu, Floriberto Ortiz Rodriguez:
Stability analysis of PD regulation for ball and beam system. CCA 2005: 517-522 - [c28]Wen Yu, Xiaoou Li:
Continuous-time recurrent multilayer perceptrons for nonlinear system identification. CCA 2005: 1636-1641 - [c27]Marco A. Moreno-Armendáriz, Wen Yu:
A new fuzzy visual servoing with application to robot manipulator. ACC 2005: 3688-3693 - [c26]José de Jesús Rubio
Dead-zone Kalman filter algorithm for recurrent neural networks. CDC/ECC 2005: 2562-2567 - [c25]Wen Yu, Marco A. Moreno-Armendáriz
System identification using hierarchical fuzzy neural networks with stabel learnig algorithms. CDC/ECC 2005: 4089-4094 - [c24]Wen Yu, Andrés Ferreyra
On-Line Clustering for Nonlinear System Identification Using Fuzzy Neural Networks. FUZZ-IEEE 2005: 678-683 - [c23]Wen Yu, José de Jesús Rubio
Recurrent neural networks training with stable risk-sensitive Kalman filter algorithm. IJCNN 2005: 700-705 - 2004
- [c22]Wen Yu, Xiaoou Li:
Visual servoing with velocity observer and neural compensation. ISIC 2004: 454-459 - [c21]Wen Yu, José de Jesús Rubio, América Morales:
Optimization of crude oil blending with neural networks. CDC 2004: 4903-4908 - [c20]Wen Yu, Andrés Ferreyra
System identification with state-space recurrent fuzzy neural networks. CDC 2004: 5106-5111 - [c19]Wen Yu, Marco Antonio Moreno-Armendáriz
Modelling of gasoline blending via discrete-time neural networks. IJCNN 2004: 1291-1296 - [c18]Xiaoou Li, Wen Yu:
Robust Adaptive Control Using Neural Networks and Projection. ISNN (2) 2004: 77-82 - [c17]Wen Yu, Xiaoou Li:
System Identification Using Adjustable RBF Neural Network with Stable Learning Algorithms. ISNN (2) 2004: 212-217 - 2003
- [c16]Wen Yu, Xiaoou Li:
Fuzzy neural modeling using stable learning algorithm. ACC 2003: 4542-4547 - [c15]Wen Yu, Xiaoou Li:
Discrete-time nonlinear system identification using recurrent neural networks. CDC 2003: 3996-4001 - [c14]Wen Yu, Xiaoou Li:
Stable Fuzzy Identification using Recurrent Fuzzy Neural Networks. Neural Networks and Computational Intelligence 2003: 118-123 - 2002
- [c13]Wen Yu, Xiaoou Li:
Adaptive control with multiple neural networks. ACC 2002: 1543-1548 - 2001
- [c12]Wen Yu, Xiaoou Li:
PD control of robot with velocity estimation and uncertainties compensation. CDC 2001: 1162-1167 - 2000
- [c11]Wen Yu, Xiaoou Li:
Passive properties of dynamic neural networks. ACC 2000: 1445-1449 - [c10]José Antonio Heredia, Wen Yu:
A high-gain observer-based PD control for robot manipulator. ACC 2000: 2518-2522 - [c9]Alexander S. Poznyak, Edgar N. Sánchez, Orlando Palma, Wen Yu:
Output trajectory tracking using dynamic neural networks. CDC 2000: 889-894 - [c8]Wen Yu, Xiaoou Li:
Passivity properties of neuro-identifier. CDC 2000: 3848-3853 - [c7]Wen Yu, José Antonio Heredia:
PD Control of Robot with RBF Networks Compensation. IJCNN (5) 2000: 329-336 - 1999
- [c6]Wen Yu
Adaptive control of arbitrary nonlinear inputs with feedforward compensation. ECC 1999: 735-740 - [c5]Rafael Castro-Linares, Wen Yu
Passivity feedback equivalence of nonlinear systems via neural networks approximation. ECC 1999: 2719-2724 - [c4]Wen Yu
Robust adaptive control for multicomponent distillation column via dynamic neural network. ECC 1999: 3250-3255 - [c3]Wen Yu, Alexander S. Poznyak, Edgar N. Sánchez:
Neural Adaptive Control of Two-Link Manipulator with Sliding Mode Compensation. ICRA 1999: 3122-3127 - [c2]Wen Yu, Alexander S. Poznyak:
System identification with partial-state measurement via dynamic multilayer neural networks. IJCNN 1999: 2081-2086 - [c1]Edgar N. Sánchez, Alexander S. Poznyak, Wen Yu:
Dynamic multilayer neural network for nonlinear system identification. IJCNN 1999: 2109-2113
Parts in Books or Collections
- 2010
- [p1]Xiaoou Li
Modeling of Crude Oil Blending via Discrete-Time Neural Networks. Applications of Neural Networks in High Assurance Systems 2010: 205-220
Editorship
- 2009
- [e5]Wen Yu, Haibo He, Nian Zhang:
Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part I. Lecture Notes in Computer Science 5551, Springer 2009, ISBN 978-3-642-01506-9 [contents] - [e4]Wen Yu, Haibo He, Nian Zhang:
Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part II. Lecture Notes in Computer Science 5552, Springer 2009, ISBN 978-3-642-01509-0 [contents] - [e3]Wen Yu, Haibo He, Nian Zhang:
Advances in Neural Networks - ISNN 2009, 6th International Symposium on Neural Networks, ISNN 2009, Wuhan, China, May 26-29, 2009, Proceedings, Part III. Lecture Notes in Computer Science 5553, Springer 2009, ISBN 978-3-642-01512-0 [contents] - 2008
- [e2]Fuchun Sun, Jianwei Zhang, Ying Tan, Jinde Cao, Wen Yu:
Advances in Neural Networks - ISNN 2008, 5th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part I. Lecture Notes in Computer Science 5263, Springer 2008, ISBN 978-3-540-87731-8 [contents] - [e1]Fuchun Sun, Jianwei Zhang, Ying Tan, Jinde Cao, Wen Yu:
Advances in Neural Networks - ISNN 2008, 5th International Symposium on Neural Networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part II. Lecture Notes in Computer Science 5264, Springer 2008, ISBN 978-3-540-87733-2 [contents]
Informal and Other Publications
- 2018
- [i2]Erick De la Rosa, Wen Yu:
Conditional probability calculation using restricted Boltzmann machine with application to system identification. CoRR abs/1806.02499 (2018) - 2017
- [i1]Erick De la Rosa, Wen Yu:
Data-Driven Fuzzy Modeling Using Deep Learning. CoRR abs/1702.07076 (2017)
Coauthor Index
[j161] [j151] [j119] [j115] [j114] [j113] [j111] [j105] [j94] [j88] [j85] [j84] [j77] [j74] [j70] [j63] [j62] [j61] [j60] [j58] [j57] [j56] [j55] [j52] [j51] [j46] [j43] [j41] [j37] [j28] [j27] [j22] [j18] [j14] [j8] [j7] [j6] [j5] [j4] [j3] [c181] [c177] [c176] [c175] [c170] [c165] [c164] [c161] [c158] [c149] [c146] [c144] [c143] [c131] [c127] [c124] [c123] [c122] [c121] [c120] [c119] [c116] [c115] [c114] [c111] [c101] [c100] [c96] [c95] [c94] [c93] [c92] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c81] [c78] [c77] [c74] [c73] [c72] [c68] [c65] [c63] [c61] [c60] [c58] [c56] [c54] [c53] [c50] [c46] [c44] [c43] [c41] [c39] [c37] [c36] [c35] [c31] [c30] [c28] [c23] [c22] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c8] [p1]
Marco A. Moreno-Armendáriz
aka: Marco Antonio Moreno-Armendáriz
aka: Marco Antonio Moreno-Armendáriz
Floriberto Ortiz-Rodríguez
aka: Floriberto Ortiz Rodriguez
aka: Floriberto Ortiz Rodriguez
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