J. B. Gomm

发表

Adaptive neural network approach to on-line learning for process fault diagnosis

J. B. Gomm, 1998 .

Fault diagnosis for wind turbine systems using unknown input observer

Qian Zhang, J. B. Gomm, Kingsley Madubuike, 2019, 2019 25th International Conference on Automation and Computing (ICAC).

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

Dingli Yu, J. B. Gomm, Mahavir S. Sangha, 2008, Int. J. Model. Identif. Control..

Design issues in applying neural networks to model highly non-linear processes

David Williams, J. B. Gomm, D. C. Eardley, 1994 .

Radial basis function neural network in fault detection of automotive engines

Dingli Yu, J. B. Gomm, Adnan Hamad, 2011 .

Estimation of inaccessible fermentation states with variable inoculum sizes

D. Williams, J. B. Gomm, P. Dacosta, 1997, Artif. Intell. Eng..

Fault diagnosis for wind turbine systems using a neural network estimator

Qian Zhang, J. B. Gomm, Kingsley Madubuike, 2019, 2019 25th International Conference on Automation and Computing (ICAC).

Implementation and performance evaluation of an on-line neural network control scheme

David Williams, J. B. Gomm, Paulo J. G. Lisboa, 1994 .

Process fault detection and diagnosis using a dynamic neural networks model

Samsul Bahari Mohd Noor, Azura Che Soh, J. B. Gomm, 2002 .

On-line implementation of a model predictive controller on a multivariable chemical process

Dingli Yu, J. B. Gomm, David Williams, 1999 .

Fault diagnosis for, a gas-fired furnace using bilinear observer method

Dingli Yu, D. N. Shields, J. B. Gomm, 1995, Proceedings of 1995 American Control Conference - ACC'95.

A new model structure selection method for non-linear systems in neural modelling

Dingli Yu, J. B. Gomm, D. Williams, 1996 .

Modelling a MIMO Chemical Process Using a RBF Network with Recursive OLS Updating

J. B. Gomm, Dingli Yu, David Williams, 1997 .

RBFN Model Adaptation Based on Orthogonal Decomposition

J. B. Gomm, Dingli Yu, 2001 .

Fault diagnosis of a nuclear processing plant at different operating points using neural networks

J. B. Gomm, David Williams, Manori Weerasinghe, 1997 .

Neural Network Identification of an In-Line pH Process

J. B. Gomm, David Williams, Sean Doherty, 1995 .

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

Dingli Yu, J. B. Gomm, Kumaran Rajarathinam, 2016, International Journal of Automation and Computing.

Modelling and Simulation of Spherical Inverted Pendulum Based on LQR Control with SimMechanics

S. S. Douglas, J. B. Gomm, M. Fajar, 2013 .

Neural model adaptation and predictive control of a chemical process rig

Dingli Yu, Ding-Wen Yu, J. B. Gomm, 2006, IEEE Transactions on Control Systems Technology.

Dynamic Fault Diagnosis for Semi-Batch Reactor under Closed-Loop Control via Independent Radial Basis Function Neural Network

Dingli Yu, J. B. Gomm, Abdelkarim M. Ertiame, 2015 .

Solution to the Shell standard control problem using genetic algorithms

J. B. Gomm, David Williams, C. Vlachos, 1998 .

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

Dingli Yu, Karl O. Jones, J. B. Gomm, 2015, CompSysTech '15.

Diagnosis of process faults with neural networks and principal component analysis

J. B. Gomm, David Williams, Manori Weerasinghe, 2000 .

Development Of A Neural Network Model Based Controller For A Non-linear Process Application

J. B. Gomm, Paulo J. G. Lisboa, J. T. Evans, 1993, Workshop on Neural Network Applications and Tools.

Detection of Incipient Process Faults using Approximate Parametric Models

J. B. Gomm, David Williams, P. Harris, 1992 .

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

Dingli Yu, J. B. Gomm, Kumaran Rajarathinam, 2015, 2015 21st International Conference on Automation and Computing (ICAC).

Dynamic Fault Diagnosis for Semi-Batch Reactor Under Closed-Loop Control via Independent RBFNN

J. B. Gomm, Dingli Yu, Abdelkarim M. Ertiame, 2015 .

ROBUSTNESS ASSESSMENT OF ADAPTIVE FDI SYSTEM FOR ENGINE AIR PATH

Dingli Yu, J. B. Gomm, M. S. Sangha, 2007 .

FAULT DETECTION AND IDENTIFICATION OF AUTOMOTIVE ENGINES USING NEURAL NETWORKS

J. B. Gomm, G. F. Page, Dingli Yu, 2005 .

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

J. B. Gomm, D. Williams, J. T. Evans, 1996, Fuzzy Sets Syst..

A NEW DEVELOPMENT OF ADAPTIVE MODEL PREDICTIVE CONTROL

J. B. Gomm, G. F. Page, Dingli Yu, 2005 .

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

S. S. Douglas, Dingli Yu, J. B. Gomm, 2006, Eng. Appl. Artif. Intell..

Accurate multi-step-ahead prediction of non-linear systems using the MLP neural network with spread encoding

David Williams, J. B. Gomm, Paulo J. G. Lisboa, 1994 .

Selection of Neural Model Order and Time-Delay for MIMO Non-Linear Systems and a Case Study on a CSTR Process

J. B. Gomm, David Williams, Dingli Yu, 1997 .

Solution to the Shell standard control problem using genetically tuned PID controllers

J. B. Gomm, David Williams, C. Vlachos, 2002 .

Implementation of neural network predictive control to a multivariable chemical reactor

Dingli Yu, J. B. Gomm, Dingli Yu, 2003 .

Model predictive control of a chemical process based on an adaptive neural network

J. B. Gomm, David Williams, Dingli Yu, 2002 .

Development and performance of a neural-network predictive controller

David Williams, J. B. Gomm, J. T. Evans, 1997 .

On-Line Learning for Fault Classification Using an Adaptive Neuro-Fuzzy Network

J. B. Gomm, 1996 .

Control of pH in-line using a neural predictive strategy

David Williams, J. B. Gomm, Sean Doherty, 1996 .

Application of Neural Networks to Modelling and Control

J. B. Gomm, G. F. Page, D. Williams, 1993 .

Application Of On-line Parameter Estimation Techniques To Fault Detection In Controlled Processes

J. B. Gomm, David Williams, P. Harris, 1992, Singapore International Conference on Intelligent Control and Instrumentation [Proceedings 1992].

ADAPTIVE MODELLING AND PREDICTIVE CONTROL OF AN IC ENGINE

S. S. Douglas, J. B. Gomm, G. F. Page, 2005 .

A parity space method of fault detection for bilinear systems

Dingli Yu, D. N. Shields, J. B. Gomm, 1995, Proceedings of 1995 American Control Conference - ACC'95.

Diagnosing Sensor Faults in a Chemical Process Via RBF Networks

J. B. Gomm, David Williams, Dingli Yu, 1997 .

An adaptive neural network for on-line learning and diagnosis of process faults

J. B. Gomm, D. Wiiliams, 1995 .

ADAPTIVE FDI FOR AUTOMOTIVE ENGINE AIR PATH AND ROBUSTNESS ASSESSMENT UNDER CLOSED-LOOP CONTROL

Dingli Yu, J. B. Gomm, Mahavir S Sangha, 2007 .

A Recursive Orthogonal Least Squares Algorithm for Training RBF Networks

Dingli Yu, D. Williams, J. B. Gomm, 1997, Neural Processing Letters.

Experiment design considerations for non-linear system identification using neural networks

J. B. Gomm, David Williams, Sean Doherty, 1997 .

Residual generation for fault detection of internal combustion engine

Dingli Yu, Karl O. Jones, J. B. Gomm, 2011, CompSysTech '11.

Adaptive neural network model based predictive control of an internal combustion engine with a new optimization algorithm

S. S. Douglas, J. B. Gomm, G. F. Page, 2006 .

On-line implementation of a neural network model predictive controller

Dingli Yu, J. B. Gomm, David Williams, 2000 .

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

Dingli Yu, J. B. Gomm, Dingli Yu, 2000, IEEE Trans. Neural Networks Learn. Syst..

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

J. B. Gomm, Shoutao Li, Yantao Tian, 2020, Soft Comput..

Process Fault Diagnosis using a Self-Adaptive Neural Network with On-Line Learning Capabilities

J. B. Gomm, 1995 .

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

Dingli Yu, J. B. Gomm, Kumaran Rajarathinam, 2014, 2014 20th International Conference on Automation and Computing.

Intelligent feed-forward and feedback control for oxygen ratio in the fuel cell stack

J. B. Gomm, Dingli Yu, Omar Ragb, 2012 .

Neural model input selection for a MIMO chemical process

Dingli Yu, J. B. Gomm, David Williams, 2000 .

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

Feng Yu, Dingli Yu, J. B. Gomm, 2013, 2013 19th International Conference on Automation and Computing.

Fault detection and isolation for engine under closed-loop control

Dingli Yu, J. B. Gomm, M. S. Sangha, 2012, Proceedings of 2012 UKACC International Conference on Control.

Sensor fault diagnosis in a chemical process via RBF neural networks

Dingli Yu, J. B. Gomm, David Williams, 1999 .

Decentralised control optimisation for a glass furnace by SGAs

Karl O. Jones, J. B. Gomm, Ahmed Saad Abdelhadi, 2014, CompSysTech.

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

Dingli Yu, J. B. Gomm, Dingli Yu, 2002, Neural Computing & Applications.

Model predictive control of a chemical process using neural networks

Dingli Yu, J. B. Gomm, David Williams, 1998 .

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

Dingli Yu, J. B. Gomm, Kumaran Rajarathinam, 2014, 2014 20th International Conference on Automation and Computing.

Neural network applications in process modelling and predictive control

David Williams, J. B. Gomm, Sean Doherty, 1997 .

A comparison of methods for the detection of surface glaze faults on ceramic tableware products

J. B. Gomm, John T. Atkinson, D. Williams, 1995 .

On-board monitoring and diagnosis for spark ignition engine air path via adaptive neural networks

J. B. Gomm, Dingli Yu, Mahavir S Sangha, 2006 .

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

Dingli Yu, J. B. Gomm, Dingli Yu, 2000, Int. J. Syst. Sci..

On-line predictive control of a chemical process using neural network models

J. B. Gomm, David Williams, Dingli Yu, 1999 .

Genetic approach to decentralised PI controller tuning for multivariable processes

J. B. Gomm, David Williams, C. Vlachos, 1999 .

Inspection of ceramic tableware for quality control using a neural network vision system

J. B. Gomm, John T. Atkinson, D. Williams, 1994, Electronic Imaging.

Robust fault diagnosis for an exothermic semi-batch polymerization reactor under open-loop

Feng Yu, J. B. Gomm, Dingli Yu, 2015 .

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

Dingli Yu, Karl O. Jones, J. B. Gomm, 2011, CompSysTech '11.

Model parameters identification for excess oxygen by Standard Genetic Algorithm

Dingli Yu, J. B. Gomm, Kumaran Rajarathinam, 2016, 2016 22nd International Conference on Automation and Computing (ICAC).

Backward Centre Selection Method for On-Line Adaptation of RBF Network Models

J. B. Gomm, Dingli Yu, 2000 .

A localised forgetting method for on-line adaptation of gaussion RBFN models

J. B. Gomm, David Williams, Dingli Yu, 2003 .

Detecting Sensor Faults for a Chemical Reactor

J. B. Gomm, David Williams, Dingli Yu, 2001 .

An algorithm for generating real describing functions

S. S. Douglas, J. B. Gomm, G. F. Page, 2012, Proceedings of 2012 UKACC International Conference on Control.