D. L. Yu - researchr alias

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Viewing Publication 1 - 17 from 17

2017

Fault detection observer of a pilot plant papermaking machineMajid Borairi, Majeed Soufian, D. L. Yu. visalg 2017: 1820-1824 [doi]

2014

Fault detection and isolation for PEM fuel cell stack with independent RBF modelM. M. Kamal, D. W. Yu, D. L. Yu. eaai, 28:52-63, 2014. [doi]

2013

Fault detection and isolation based on feedforward-feedback control for oxygen excess of fuel cell stackM. K. Mahanijah, D. W. Yu, D. L. Yu. iconac 2013: 1-5 [doi]

2008

Adaptive RBF network for parameter estimation and stable air-fuel ratio controlShiwei Wang, D. L. Yu. NN, 21(1):102-112, 2008. [doi]

2007

A New Fuel Injection Control Solution via Simple and Adaptive Sliding ModeShiwei Wang, D. L. Yu. imecs 2007: 1528-1535

Robust Integral Sliding Mode Control against Matched and Unmatched System UncertaintyShiwei Wang, D. L. Yu. imecs 2007: 1483-1488

A new structure adaptation algorithm for RBF networks and its applicationD. L. Yu, D. W. Yu. nca, 16(1):91-100, 2007. [doi]

An On-Line LearningAlgorithm of Parallel Mode for MLPN ModelsD. L. Yu, T. K. Chang, D. W. Yu. isnn 2007: 432-437 [doi]

2006

Adaptive neural network model based predictive control for air-fuel ratio of SI enginesS. W. Wang, D. L. Yu, J. B. Gomm, G. F. Page, S. S. Douglas. eaai, 19(2):189-200, 2006. [doi]

An Application of Second-Order Sliding Mode Control for IC Engine Fuel InjectionShiwei Wang, D. L. Yu. ccece 2006: 1035-1038 [doi]

Neural Network Parameter Adaptation for a Fuel Injection Control SystemShiwei Wang, D. L. Yu. ccece 2006: 558-561 [doi]

2005

Adaptive neural model-based fault tolerant control for multi-variable processesD. L. Yu, T. K. Chang, D. W. Yu. eaai, 18(4):393-411, 2005. [doi]

2002

Enhanced Neural Network Modelling for a Real Multi-variable Chemical ProcessD. L. Yu, J. B. Gomm. nca, 10(4):289-299, 2002. [doi]

2001

Extension of the parity-space method to fault diagnosis of bilinear systemsD. L. Yu, D. N. Shields. ijsysc, 32(8):953-962, 2001. [doi]

2000

Order and delay selection for neural network modelling by identification of linearized modelsJ. B. Gomm, D. L. Yu. ijsysc, 31(10):1273-1283, 2000. [doi]

Selecting radial basis function network centers with recursive orthogonal least squares trainingJ. Barry Gomm, D. L. Yu. tnn, 11(2):306-314, 2000. [doi]

1997

A Recursive Orthogonal Least Squares Algorithm for Training RBF NetworksD. L. Yu, J. B. Gomm, D. Williams. npl, 5(3):167-176, 1997.

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