J. B. Gomm - researchr alias

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Viewing Publication 1 - 9 from 9

2020

Fault tolerant control for nonlinear systems using sliding mode and adaptive neural network estimatorHaiying Qi, Yiran Shi, Shoutao Li, Yantao Tian, Ding-Li Yu, J. B. Gomm. soco, 24(15):11535-11544, 2020. [doi]

2013

Fault detection and isolation for open-loop Chylla-Haase polymerization reactorAbdelkarim M. Ertiame, Dingli Yu, Feng Yu, J. B. Gomm. iconac 2013: 1-6 [doi]

2011

Residual generation for fault detection of internal combustion engineAdnan Hamad, Karl Jones, Dingli Yu, J. B. Gomm, Mahavir S. Sangha. compsystech 2011: 329-334 [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]

2002

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

1997

Estimation of inaccessible fermentation states with variable inoculum sizesP. Dacosta, C. Kordich, D. Williams, J. B. Gomm. aei, 11(4):383-392, 1997. [doi]

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

1996

Enhancing the non-linear modelling capabilities of MLP neural networks using spread encodingJ. B. Gomm, D. Williams, J. T. Evans, S. K. Doherty, P. J. G. Lisboa. fss, 79(1):113-126, 1996. [doi]

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