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Adaptive Neural Network Control in Bilateral Teleoperation Systems with Full-state Constraints Conference paper
Proceedings - 2020 Chinese Automation Congress, CAC 2020, Shanghai, China, 6-8 Nov. 2020
Authors:  Shuo Yuan;  Xinbo Yu;  Yongliang Yang;  Carlos Silvestre;  Wei He
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Bilateral Teleoperation Systems  Neural Networks  Full-state Constraints  Barrier Lyapunov Function  Uncertainties  Time Delay  
A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak Journal article
Applied Intelligence, 2021
Authors:  Liu,Xian Xian;  Fong,Simon James;  Dey,Nilanjan;  Crespo,Rubén González;  Herrera-Viedma,Enrique
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Asymptomatic cases  COVID-19  Disease transmission  Enhanced surveillance  Interventions  Novel coronavirus  Risk assessment  SEAIRD  SEIR  Severity  
Adaptive neural control of vehicle yaw stability with active front steering using an improved random projection neural network Journal article
Vehicle System Dynamics, 2021,Volume: 59,Issue: 3,Page: 396-414
Authors:  Huang,Wei;  Wong,Pak Kin;  Wong,Ka In;  Vong,Chi Man;  Zhao,Jing
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Active front steering  adaptive neural control  lateral stability  random projection neural network  yaw rate control  
A robust surrogate model of a solid oxide cell based on an adaptive polynomial approximation method Journal article
International Journal of Hydrogen Energy, 2020,Volume: 45,Issue: 58,Page: 32949-32971
Authors:  Yingtian Chi;  Yiwei Qiu;  Jin Lin;  Yonghua Song;  Wenying Li;  Qiang Hu;  Shujun Mu;  Min Liu
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/04/29
Solid Oxide Cell  Modeling  Adaptive Polynomial Approximation  Experiments  Data-driven  
Adaptive neural tracking control for automotive engine idle speed regulation using extreme learning machine Journal article
Neural Computing and Applications, 2020,Volume: 32,Issue: 18,Page: 14399-14409
Authors:  Wong,Pak Kin;  Huang,Wei;  Vong,Chi Man;  Yang,Zhixin
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Adaptive neural control  Engine idle speed regulation  Extreme learning machine  Uncertain nonlinearity  
Adaptive Neural Control of a Class of Stochastic Nonlinear Uncertain Systems with Guaranteed Transient Performance Journal article
IEEE Transactions on Cybernetics, 2020,Volume: 50,Issue: 7,Page: 2971-2981
Authors:  Wang,Jianhui;  Liu,Zhi;  Zhang,Yun;  Chen,C. L.Philip;  Lai,Guanyu
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Adaptive control  neutral network  nonlinear control  stochastic disturbance  transient performance  
Adaptive neural network observer based pid-backstepping terminal sliding mode control for robot manipulators Conference paper
IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Authors:  Xi,Ruidong;  Yang,Zhixin;  Xiao,Xiao
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Disturbance observer  RBF neural networks  Robot control  State observer  Terminal sliding mode control(TSMC)  
Neural networks-based model predictive control for precision motion tracking of a micropositioning system Journal article
International Journal of Intelligent Robotics and Applications, 2020,Volume: 4,Issue: 2,Page: 164-176
Authors:  Yizheng Yan;  Qingsong Xu
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Micropositioning System  Model Predictive Control  Neural Networks  Precision Motion Control  
Force Sensorless Admittance Control with Neural Learning for Robots with Actuator Saturation Journal article
IEEE Transactions on Industrial Electronics, 2020,Volume: 67,Issue: 4,Page: 3138-3148
Authors:  Peng,Guangzhu;  Yang,Chenguang;  He,Wei;  Chen,C. L.Philip
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Adaptive neural control  admittance control  neural networks (NNs)  observer  
Neural networks-based model predictive control for precision motion control of a micropositioning system Conference paper
2019 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2019, Irkutsk, 4-9 Aug. 2019
Authors:  Yizheng Yan;  Qingsong Xu
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