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Force Sensorless Admittance Control for Teleoperation of Uncertain Robot Manipulator Using Neural Networks Journal article
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021,Volume: 51,Issue: 5,Page: 3282-3292
Authors:  Yang, Chenguang;  Peng, Guangzhu;  Cheng, Long;  Na, Jing;  Li, Zhijun
Favorite |  | TC[WOS]:78 TC[Scopus]:72 | Submit date：2021/12/07
Admittance Control  Error Transformation  Force Observer  Kinect  Neural Adaptive Control  Neural Networks (Nns)  Robot  
Adaptive NN event-triggered control for path following of underactuated vessels with finite-time convergence Journal article
Neurocomputing, 2020,Volume: 379,Page: 203-213
Authors:  Li, Meilin;  Li, Tieshan;  Gao, Xiaoyang;  Shan, Qihe;  Chen, C. L.Philip;  Xiao, Yang
Favorite |  | TC[WOS]:38 TC[Scopus]:42 | Submit date：2021/12/03
Event-triggered Control  Finite-time Convergence  Line-of-sight  Path Following  Radial Basis Function Neural Network  Underactuated Marine Surface Vessel  
A Fast Method of Function Approximation using Broad Learning System Conference paper
2019 6th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2019
Authors:  Ma, Yuzhuo;  Li, Tieshan;  Zuo, Yi;  Philip Chen, C. L.;  Yuan, Liang'en;  Shan, Qihe
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/17
BPNN  broad learning system  function approximation  RBFNN  
Cooperation Control of Under-actuated Mobile Robots with RBF-NN Approximator Conference paper
2018 International Automatic Control Conference (CACS), Taoyuan, Taiwan, 2018-11
Authors:  Yu Z.;  Wong S.F.
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date：2019/03/28
Cooperation Control  Lyapunov Direct Method  Rbf Neural Networks  Tracking Control Algorithm  Underactuated Mobile Robot  
Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems Journal article
IEEE Transactions on Cybernetics, 2016,Volume: 46,Issue: 7,Page: 1591
Authors:  Chen C.L.P.;  Wen G.-X.;  Liu Y.-J.;  Liu Z.
Favorite |  | TC[WOS]:430 TC[Scopus]:435 | Submit date：2018/10/30
Backstepping  Consensus Tracking Control  High-order Multiagent Systems  Radial Basis Function Neural Network (Rbfnn)  Semi-globally Uniformly Ultimately Bounded (Sguub)  Semi-strict Feedback  
Adaptive consensus control for a class of nonlinear multiagent time-delay systems using neural networks Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2014,Volume: 25,Issue: 6,Page: 1217
Authors:  Chen C.L.P.;  Wen G.-X.;  Liu Y.-J.;  Wang F.-Y.
View | Adobe PDF | Favorite |  | TC[WOS]:448 TC[Scopus]:486 | Submit date：2018/10/30
Consensus Control  Lyapunov-krasovskii Functional  Neural Networks (Nns)  Nonlinear Multiagent Systems  Time Delay  
Adaptive NN consensus control for a class of nonlinear multi-agent time-delay systems Conference paper
Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Authors:  Wen G.-X.;  Philip Chen C.L.
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2019/02/11
Consensus control  Neural network  Nonlinear multiagent systems  State time delay  
Diesel engine modelling using extreme learning machine under scarce and exponential data sets Journal article
International Journal of Uncertainty, Fuzziness and Knowledge-based Systems (SCI-E), 2013,Page: 87-98
Authors:  Wong, P.K.;  Vong, C. M.;  Cheung, C. S.;  Wong, K. I.
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/08/09
Diesel engine modelling  engine performance prediction  extreme learning machine  least squares support vector machine  relevance vector machine  data processing  
Diesel engine modelling using extreme learning machine under scarce and exponential data sets Journal article
International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, 2013,Volume: 21,Issue: SUPPL.2,Page: 87-98
Authors:  Wong P.K.;  Vong C.M.;  Cheung C.S.;  Wong K.I.
Favorite |  | TC[WOS]:5 TC[Scopus]:6 | Submit date：2019/02/13
Data Processing  Diesel Engine Modeling  Engine Performance Prediction  Extreme Learning Machine  Least Squares Support Vector Machine  Relevance Vector Machine  
Modelling of Diesel Engine Performance using Advanced Machine Learning Methods under Scarce and Exponential Data Set Journal article
Applied Soft Computing (SCI-E), 2013,Page: 4428-4441
Authors:  Wong, K.I.;  Wong, P. K.;  Cheung, C. S.;  Vong, C. M.
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/08/09
diesel engine modelling  engine performance  artificial neural network  relevance vector machine  least squares support vector machine  kernel based extreme learning machine  hybrid inference  data exponentiality  data scarcity