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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  
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 new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak Journal article
Applied Intelligence, 2021,Volume: 51,Page: 4162-4198
Authors:  Xian-Xian Liu;  Simon James Fong;  Nilanjan Dey;  Rubén González Crespo;  Enrique Herrera-Viedma
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Novel Coronavirus  Covid-19  Asymptomatic Cases  Disease Transmission  Seir  Seaird  Severity  Risk Assessment  Enhanced Surveillance  Interventions  
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  
Adversarial example generation with adaptive gradient search for single and ensemble deep neural network Journal article
Information Sciences, 2020,Volume: 528,Page: 147-167
Authors:  Xiao,Yatie;  Pun,Chi Man;  Liu,Bo
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Adaptive gradient  Adversarial attack  Deep neural networks  Perturbation  
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)  
Gaussian Pyramid of Conditional Generative Adversarial Network for Real-World Noisy Image Denoising Journal article
Neural Processing Letters, 2020,Volume: 51,Issue: 3,Page: 2669-2684
Authors:  Ma,Ruijun;  Zhang,Bob;  Hu,Haifeng
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Gaussian Pyramid  Generative Model  Image Denoising  Real-world Noisy Images  
High-accuracy automated diagnosis of Parkinson’s disease Journal article
Current Medical Imaging Reviews, 2020,Volume: 16,Issue: 6,Page: 688-694
Authors:  Ozsahin,Ilker;  Sekeroglu,Boran;  Pwavodi,Pwadubashiyi Coston;  Mok,Greta S.P.
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Back propagation  Dopamine transporter  Image preparation  Neural network  Parkinson’s disease  SPECT  
Low-Cost Approximation-Based Adaptive Tracking Control of Output-Constrained Nonlinear Systems Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2020
Authors:  Zhao,Kai;  Song,Yongduan;  Meng,Wenchao;  Chen,C. L.P.;  Chen,Long
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Asymmetric output constraint  neural adaptive control  nonlinear systems  universal barrier function.