D. L. Yu

17 papers Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2017 — conf
Fault detection observer of a pilot plant papermaking machine.
ISIE
Majid Borairi, Majeed Soufian, D. L. Yu
2014 J jnl
Fault detection and isolation for PEM fuel cell stack with independent RBF model.
Eng. Appl. Artif. Intell.
Mahanijah Md Kamal, D. W. Yu, D. L. Yu
2013 — conf
Fault detection and isolation based on feedforward-feedback control for oxygen excess of fuel cell stack.
ICAC
M. K. Mahanijah, D. W. Yu, D. L. Yu
2008 J jnl
Adaptive RBF network for parameter estimation and stable air-fuel ratio control.
Neural Networks
Shiwei Wang, D. L. Yu
2007 — conf
A New Fuel Injection Control Solution via Simple and Adaptive Sliding Mode.
IMECS
Shiwei Wang, D. L. Yu
2007 — conf
An On-Line Learning Algorithm of Parallel Mode for MLPN Models.
ISNN (2)
D. L. Yu, T. K. Chang, D. W. Yu
2007 — conf
Robust Integral Sliding Mode Control against Matched and Unmatched System Uncertainty.
IMECS
Shiwei Wang, D. L. Yu
2006 J jnl
Adaptive neural network model based predictive control for air-fuel ratio of SI engines.
Eng. Appl. Artif. Intell.
S. W. Wang, D. L. Yu, J. B. Gomm, G. F. Page, S. S. Douglas
2006 — conf
An Application of Second-Order Sliding Mode Control for IC Engine Fuel Injection.
CCECE
Shiwei Wang, D. L. Yu
2006 — conf
Neural Network Parameter Adaptation for a Fuel Injection Control System.
CCECE
Shiwei Wang, D. L. Yu
2005 J jnl
Adaptive neural model-based fault tolerant control for multi-variable processes.
Eng. Appl. Artif. Intell.
D. L. Yu, T. K. Chang, D. W. Yu
2002 J jnl
Enhanced Neural Network Modelling for a Real Multi-variable Chemical Process.
Neural Comput. Appl.
D. L. Yu, J. B. Gomm
2001 J jnl
Extension of the parity-space method to fault diagnosis of bilinear systems.
Int. J. Syst. Sci.
D. L. Yu, Derek Nicholas Shields
2000 J jnl
Order and delay selection for neural network modelling by identification of linearized models.
Int. J. Syst. Sci.
J. B. Gomm, D. L. Yu
2000 J jnl
Selecting radial basis function network centers with recursive orthogonal least squares training.
IEEE Trans. Neural Networks Learn. Syst.
J. Barry Gomm, D. L. Yu
1997 J jnl
A Recursive Orthogonal Least Squares Algorithm for Training RBF Networks.
Neural Process. Lett.
D. L. Yu, J. B. Gomm, D. Williams
1996 J jnl
A bilinear fault detection observer.
Autom.
D. L. Yu, Derek Nicholas Shields