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Adaptive Control of Vehicle Yaw Rate with Active Steering System and Extreme Learning Machine Conference paper
Proceedings of ELM, Yatai, China, 4-7 October
Authors:  Pak Kin Wong;  Wei Huang;  Ka In Wong;  Chi Man Vong
Favorite  |  View/Download:4/0  |  Submit date:2019/04/11
Adaptive Elm Control  Active Steering  Vehicle Yaw Rate Control  
Robust finite-time boundedness of multi-agent systems subject to parametric uncertainties and disturbances Journal article
International Journal of Systems Science, 2016,Volume: 47,Issue: 10,Page: 2466-2474
Authors:  Lee L.;  Kou K.I.;  Zhang W.;  Liang J.;  Liu Y.
Favorite  |  View/Download:2/0  |  Submit date:2019/02/13
Impulsive Disturbance  Multi-agent System  Parametric Uncertainty  Robust Finite-time Boundedness  
Self-triggered output feedback control of linear plants in the presence of unknown disturbances Journal article
IEEE Transactions on Automatic Control, 2014,Volume: 59,Issue: 11,Page: 3040-3045
Authors:  Almeida J.;  Silvestre C.;  Pascoal A.M.
Favorite  |  View/Download:1/0  |  Submit date:2019/02/12
Event-triggered Control  Sampled-data Systems  Self-triggered Control.  
An ARMAX model for forecasting the power output of a grid connected photovoltaic system Journal article
Renewable Energy, 2014,Volume: 66,Page: 78
Authors:  Li Y.;  Su Y.;  Shu L.
Favorite  |  View/Download:5/0  |  Submit date:2018/10/30
Efficiency  Grid Connection  Photovoltaic System  Solar Irradiance  
One-unit second-order blind identification with reference for short transient signals Journal article
Information Sciences, 2013,Volume: 227,Page: 90-101
Authors:  Liu H.;  Xie X.;  Xu S.;  Wan F.;  Hu Y.
Favorite  |  View/Download:3/0  |  Submit date:2018/12/24
Blind Source Separation (Bss)  Constrained Blind Source Separation  Second Order Blind Identification (Sobi)  Second-order Blind Identification With Reference  Short Transient Signal  
Adaptive Modelling of the Daily Behavior of the Boundary Layer Ozone in Macau Journal article
ISRN Meteorology, 2012,Volume: 2012,Page: 434176
Authors:  K. M. Chao;  K. I. Hoi;  K. V. Yuen;  K. M. Mok
Favorite  |  View/Download:1/0  |  Submit date:2019/05/17
Iterative Probabilistic Approach for Selection of TimeVarying Model Classes Conference paper
Procedia Engineering, Hong Kong, JAN 26-28, 2011
Authors:  Hoi K.I.;  Yuen K.V.;  Mok K.M.
Favorite  |  View/Download:3/0  |  Submit date:2019/02/12
Bayesian  Kalman Filter  Model Class Selection  Statistical Model  
Optimizing the performance of kalman filter based statistical time-varying air quality models Conference paper
Global Nest Journal, Chania, GREECE, SEP 03-05, 2009
Authors:  Hoi K.I.;  Yuen K.V.;  Mok K.M.
Favorite  |  View/Download:5/0  |  Submit date:2019/02/12
Bayesian Inference  Kalman Filter  Macau  Pm10  Time-varying Models  
Prediction of daily averaged PM10 concentrations by statistical time-varying model Journal article
Atmospheric Environment, 2009,Volume: 43,Issue: 16,Page: 2579-2581
Authors:  Hoi K.I.;  Yuen K.V.;  Mok K.M.
Favorite  |  View/Download:5/0  |  Submit date:2018/10/30
Air Quality Prediction  Artificial Neural Network  Coastal City  Kalman Filter  Macau  Pm10  
Kalman filter based prediction system for wintertime PM10 concentrations in Macau Journal article
Global Nest Journal, 2008,Volume: 10,Issue: 2,Page: 140-150
Authors:  Hoi K.I.;  Yuen K.V.;  Mok K.M.
Favorite  |  View/Download:4/0  |  Submit date:2019/02/12
Air Quality Prediction  Kalman Filter  Macau  Pm10