J. B. Gomm

According to our database, J. B. Gomm authored at least 30 papers between 1996 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

State of Charge Estimation Using Unscented Kalman Filter in Electric Vehicles.

Azizeh Lotfivand, Dingli Yu, Barry Gomm

Proceedings of the 28th International Conference on Automation and Computing, 2023

2022

Fault tolerant control and fault diagnosis of a variable speed pitch angle hydraulic system.

Kingsley Madubuike, Cliff Mayhew, Qian Zhang, J. Barry Gomm, Ding-Li Yu

Proceedings of the 27th International Conference on Automation and Computing, 2022

State Of Charge estimation using Extended Kalman Filter in Electric Vehicles.

Azizeh Lotfivand, Dingli Yu, J. Barry Gomm

Proceedings of the 27th International Conference on Automation and Computing, 2022

2020

Fault tolerant control for nonlinear systems using sliding mode and adaptive neural network estimator.

Haiying Qi, Yiran Shi, Shoutao Li, Yantao Tian, Ding-Li Yu, J. B. Gomm

Soft Comput., 2020

2019

Fault diagnosis for wind turbine systems using unknown input observer.

Kingsley Madubuike, Cliff Mayhew, Qian Zhang, J. Barry Gomm, Ding-Li Yu

Proceedings of the 25th International Conference on Automation and Computing, 2019

Fault diagnosis for wind turbine systems using a neural network estimator.

Kingsley Madubuike, Cliff Mayhew, Qian Zhang, J. Barry Gomm, Ding-Li Yu

Proceedings of the 25th International Conference on Automation and Computing, 2019

2018

Failure Prediction for an Exothermic Semi-batch Reactor via A combined EKF with Statistical Method.

Haiying Qi, Abdelkarim M. Ertiame, Kingsley Madubuike, Ding-Li Yu, J. Barry Gomm

Proceedings of the 24th International Conference on Automation and Computing, 2018

Nonlinear Observer Fault Detection for a Multivariable Process Using a Learning Methodology.

Haiying Qi, Abdelkarim M. Ertiame, Kingsley Madubuike, Ding-Li Yu, J. Barry Gomm

Proceedings of the 24th International Conference on Automation and Computing, 2018

2017

Genetic Algorithm Optimisation of PID Controllers for a Multivariable Process.

Wael Alharbi, Barry Gomm

Int. J. Recent Contributions Eng. Sci. IT, 2017

2016

PID controller tuning for a multivariable glass furnace process by genetic algorithm.

Kumaran Rajarathinam, J. Barry Gomm, Ding-Li Yu, Ahmed Saad Abdelhadi

Int. J. Autom. Comput., 2016

Model parameters identification for excess oxygen by Standard Genetic Algorithm.

Kumaran Rajarathinam, J. Barry Gomm, Dingli Yu, Ahmed Saad Abdelhadi

Proceedings of the 22nd International Conference on Automation and Computing, 2016

2015

An improved search space resizing method for model identification by Standard Genetic Algorithm.

Kumaran Rajarathinam, J. Barry Gomm, Dingli Yu, Ahmed Saad Abdelhadi

Proceedings of the 21st International Conference on Automation and Computing, 2015

Predetermined time constant approximation method for optimising search space boundary by standard genetic algorithm.

Kumaran Rajarathianm, J. Barry Gomm, Karl O. Jones, Dingli Yu

Proceedings of the 16th International Conference on Computer Systems and Technologies, 2015

2014

Decentralised PID control tuning for a multivariable glass furnace by genetic algorithm.

Kumaran Rajarathinam, J. Barry Gomm, Dingli Yu, Ahmed Saad Abdelhadi

Proceedings of the 20th International Conference on Automation and Computing, 2014

Nonlinear system identification and control of a pH process using Local Linear Model Networks strategy.

Ahmed Saad Abdelhadi, J. Barry Gomm, Dingli Yu, Kumaran Rajarathinam

Proceedings of the 20th International Conference on Automation and Computing, 2014

Decentralised control optimisation for a glass furnace by SGAs.

Kumaran Rajarathianm, J. Barry Gomm, Karl O. Jones, Ahmed Saad Abdelhadi

Proceedings of the 15th International Conference on Computer Systems and Technologies, 2014

2013

Fault detection and isolation for open-loop Chylla-Haase polymerization reactor.

Abdelkarim M. Ertiame, Dingli Yu, Feng Yu, J. B. Gomm

Proceedings of the 2013 19th International Conference on Automation and Computing, 2013

2011

Adaptive feed-forward and feedback control using neural networks for oxygen ratio in fuel cell stacks.

Omar Ragb, Karl O. Jones, Dingli Yu, J. Barry Gomm

Proceedings of the 12th International Conference on Computer Systems and Technologies, 2011

Residual generation for fault detection of internal combustion engine.

Adnan Hamad, Karl O. Jones, Dingli Yu, J. B. Gomm, Mahavir S. Sangha

Proceedings of the 12th International Conference on Computer Systems and Technologies, 2011

2008

Neural network fault classification of transient data in an automotive engine air path.

Mahavir S. Sangha, J. Barry Gomm, Dingli Yu

Int. J. Model. Identif. Control., 2008

Robustness assessment and adaptive FDI for car engine.

Mahavir S. Sangha, Dingli Yu, J. Barry Gomm

Int. J. Autom. Comput., 2008

2006

Neural model adaptation and predictive control of a chemical process rig.

Ding-Li Yu, Ding-Wen Yu, J. Barry Gomm

IEEE Trans. Control. Syst. Technol., 2006

Adaptive neural network model based predictive control for air-fuel ratio of SI engines.

S. W. Wang, D. L. Yu, J. B. Gomm, G. F. Page, S. S. Douglas

Eng. Appl. Artif. Intell., 2006

2002

Enhanced Neural Network Modelling for a Real Multi-variable Chemical Process.

D. L. Yu, J. B. Gomm

Neural Comput. Appl., 2002

2000

Selecting radial basis function network centers with recursive orthogonal least squares training.

J. Barry Gomm, D. L. Yu

IEEE Trans. Neural Networks Learn. Syst., 2000

Order and delay selection for neural network modelling by identification of linearized models.

J. B. Gomm, D. L. Yu

Int. J. Syst. Sci., 2000

1997

A Recursive Orthogonal Least Squares Algorithm for Training RBF Networks.

D. L. Yu, J. B. Gomm, D. Williams

Neural Process. Lett., 1997

Estimation of inaccessible fermentation states with variable inoculum sizes.

P. Dacosta, C. Kordich, D. Williams, J. B. Gomm

Artif. Intell. Eng., 1997

1996

Preface.

George Page, Barry Gomm

Fuzzy Sets Syst., 1996

Enhancing the non-linear modelling capabilities of MLP neural networks using spread encoding.

J. B. Gomm, D. Williams, J. T. Evans, S. K. Doherty, Paulo J. G. Lisboa

Fuzzy Sets Syst., 1996