On-line estimation of parameters in a respiration model using a continuous-discrete type of recursive prediction error algorithm

1999 ◽  
Author(s):  
J. D. Stigter ◽  
P. A. Vanrolleghem ◽  
J. F. Van Impe
Keyword(s):  
Prediction Error ◽  
Estimation Of Parameters ◽  
Respiration Model ◽  
On Line ◽  
Recursive Prediction ◽  
Discrete Type

ON-LINE MODELLING AND FORECASTING OF A MOVING CAR INFORMATION USING TD-HMLP NETWORK

2015 ◽  
Vol 76 (12) ◽  
Author(s):  
Z. Saad ◽  
M. Y. Mashor ◽  
Wan Khairunizam
Keyword(s):  
Fuel Injection ◽  
Nonlinear Modeling ◽  
Trend Data ◽  
On Line ◽  
One Step ◽  
Multilayered Perceptron ◽  
The One ◽  
Recursive Prediction ◽  
Better Than ◽  
Modelling And Forecasting

The study proposed a model called trend data hybrid multilayered perceptron network (TD-HMLP) coupled with a modified recursive prediction error (MRPE) training algorithm as a nonlinear modeling. An on-line model was used to forecast speed, revolution and fuel balanced in a Proton Gen2 car tank. The car measured the injected fuel from fuel injection sensor and become an input for the TD-HMLP model to forecast the speed, revolution and fuel balanced in tank. These forecasted variables were also measured from the car sensors. The criterions for performances are based on the one step ahead forecasting (OSA), multi-step ahead forecasting (MSA) and adjusted R2. The forecasting result showed that TD-HMLP network is better than the conventional HMLP network to maintain higher value in adjusted R2 and produce better step in multi-step ahead forecasting. These preliminary results show that the proposed modeling approach is capable to be used as an on-line information forecaster of a moving car.

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