Liverpool Skyline

Department of Electronics and Electrical Engineering

Dr Barry Gomm

Dr Barry Gomm

Telephone: 0151 231 2360

Publications

Journal article

Levi E, Dordevic O, Subotic I, Gomm JB. 2019. Active and Reactive Power Sharing Between Three-Phase Winding Sets of a Multiphase Induction Machine IEEE Transactions on Energy Conversion, 34 :1401-1410 DOI Author Url Publisher Url Public Url

Qi H, Mayhew C, Zhai Y, Wang S, Yu D, Gomm JB, Zhang Q. 2019. Fault Tolerant Control of Electronic Throttles with Friction Changes Electronics, 8 DOI Author Url Publisher Url Public Url

Alharbi W, Gomm B. 2017. Genetic Algorithm Optimisation of PID Controllers for a Multivariable Process International Journal of Recent Contributions from Engineering, Science & IT (iJES), 5 :77-96 DOI Publisher Url Public Url

Rajarathinam K, Gomm JB, Yu DL, Abdelhadi A. 2017. An improved search space resizing method for model identification by standard genetic algorithm Systems Science and Control Engineering, 5 :117-128 DOI Public Url

Rajarathinam K, Gomm JB, Yu DL, Abdelhadi AS. 2016. PID controller tuning for a multivariable glass furnace process by genetic algorithm International Journal of Automation and Computing, 13 :64-72 DOI Public Url

Fajar M, Douglas SS, Gomm JB. 2013. Modelling and simulation of spherical inverted pendulum based on LQR control with SimMechanics Applied Mechanics and Materials, 391 :163-167 DOI

Ertiame AM, Yu D, Yu F, Gomm JB. 2013. Fault detection and isolation for open-loop Chylla-Haase polymerization reactor ICAC 2013 - Proceedings of the 19th International Conference on Automation and Computing: Future Energy and Automation, :150-155

Page GF, Gomm JB, Douglas SS. 2012. An algorithm for generating real describing functions Proceedings of the 2012 UKACC International Conference on Control, CONTROL 2012, :947-952 DOI

Yu D, Hamad A, Gomm JB. 2012. Dynamic Fault Detection and Isolation For Automotive Engine Air Path By Independent Neural Network Model International Journal of Engine Research, 15 :87-100 DOI Author Url

Hamad A, Jones K, Yu D, Gomm JB, Sangha MS. 2011. Residual generation for fault detection of internal combustion engine ACM International Conference Proceeding Series, 578 :329-334 DOI

Ragb O, Jones K, Yu D, Gomm JB. 2011. Adaptive feed-forward and feedback control using neural networks for oxygen ratio in fuel cell stacks ACM International Conference Proceeding Series, 578 :323-328 DOI

Sangha MS, Yu D, Gomm JB. 2008. Robustness assessment and adaptive FDI for car engine International Journal of Automation and Computing, 5 :109-118 DOI

Sangha MS, Yu DL, Gomm JB. 2007. Adaptive FDI for automotive engine air path and robustness assessment under closed-loop control INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 8 :637-650 Author Url

Sangha MS, Yu DL, Gomm JB. 2006. On-board monitoring and diagnosis for spark ignition engine air path via adaptive neural networks PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 220 :1641-1655 DOI Author Url

Yu D-L, Yu D-W, Gomm JB. 2006. Neural model adaptation and predictive control of a chemical process rig IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 14 :828-840 DOI Author Url

Wang SW, Yu DL, Gomm JB, Page GF, Douglas SS. 2006. Adaptive neural network model based predictive control for air-fuel ratio of SI engines ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 19 :189-200 DOI Author Url

Wang SW, Yu DL, Gomm IB, Page GF, Douglas SS. 2006. Adaptive neural network model based predictive control of an internal combustion engine with a new optimization algorithm PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 220 :195-208 DOI Author Url

Sangha MS, Gomm JB, Yu DL, Page GF. 2005. Fault detection and identification of automotive engines using neural networks IFAC Proceedings Volumes (IFAC-PapersOnline), 38 :272-277 DOI

Yu DL, Yu DW, Gomm JB, Page GF. 2005. A new development of adaptive model predictive control IFAC Proceedings Volumes (IFAC-PapersOnline), 38 :348-353 DOI

Wang SW, Yu DL, Gomm JB, Beham M, Page GF, Douglas SS. 2005. Adaptive modelling and predictive control of an IC engine IFAC Proceedings Volumes (IFAC-PapersOnline), 38 :242-247 DOI

Yu DL, Yu DW, Gomm JB, Page GF. 2004. Adaptive RBF model for model-based control Proceedings of the World Congress on Intelligent Control and Automation (WCICA), 1 :78-82

Vlachos C, Williams D, Gomm JB. 2002. Solution to the Shell standard control problem using genetically tuned PID controllers CONTROL ENGINEERING PRACTICE, 10 :151-163 DOI Author Url

Yu DL, Gomm JB. 2002. Enhanced neural network modelling for a real multivariable chemical process NEURAL COMPUTING & APPLICATIONS, 10 :289-299 DOI Author Url

Gomm JB, Yu DL. 2000. Order and delay selection for neural network modelling by identification of linearized models INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 31 :1273-1283 DOI Author Url

Yu DL, Williams D, Gomm JB. 2000. On-line implementation of a neural network model predictive controller IEE Colloquium (Digest), :39-42

Yu DL, Gomm JB, Williams D. 2000. Neural model input selection for a MIMO chemical process ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 13 :15-23 DOI Author Url

Gomm JB, Weerasinghe M, Williams D. 2000. Diagnosis of process faults with neural networks and principal component analysis PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 214 :131-143 DOI Author Url

Gomm JB, Weerasinghe M, Williams D. 2000. Diagnosis of process faults with neural networks and principal component analysis Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical, 214 :131-143 DOI

Yu DL, Williams D, Gomm JB. 1999. On-line implementation of a model predictive controller on a multivariable chemical process IEE Colloquium (Digest), :5-9

Vlachos C, Williams D, Gomm JB. 1999. Genetic approach to decentralised PI controller tuning for multivariable processes IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 146 :58-64 DOI Author Url

Yu DL, Gomm JB, Williams D. 1999. Sensor fault diagnosis in a chemical process via RBF neural networks CONTROL ENGINEERING PRACTICE, 7 :49-55 DOI Author Url

Gomm JB. 1998. Adaptive neural network approach to on-line learning for process fault diagnosis TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 20 :144-152 DOI Author Url

Yu DL, Gomm JB, Williams D. 1997. A recursive orthogonal least squares algorithm for training RBF networks NEURAL PROCESSING LETTERS, 5 :167-176 DOI Author Url

Gomm JB, Williams D, Evans JT, Doherty SK. 1997. Neural network applications in process modelling and predictive control TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 19 :175-184 DOI Author Url

Gomm JB, Evans JT, Williams D. 1997. Development and performance of a neural-network predictive controller CONTROL ENGINEERING PRACTICE, 5 :49-59 DOI Author Url

Doherty SK, Gomm JB, Williams D. 1997. Experiment design considerations for non-linear system identification using neural networks COMPUTERS & CHEMICAL ENGINEERING, 21 :327-346 DOI Author Url

Gomm JB, Doherty SK, Williams D. 1996. Control of pH in-line using a neural predictive strategy IEE Conference Publication, :1058-1063

Gomm JB, Yu DL, Williams D. 1996. New model structure selection method for non-linear systems in neural modelling IEE Conference Publication, :752-757

Gomm JB, Williams D, Evans JT, Doherty SK, Lisboa PJG. 1996. Enhancing the non-linear modelling capabilities of MLP neural networks using spread encoding FUZZY SETS AND SYSTEMS, 79 :113-126 DOI Author Url

Finney GB, Gomm JB, McTavish JP, Williams D, Atkinson JT. 1995. Comparison of methods for the detection of surface glaze faults on ceramic tableware products IEE Conference Publication, :430-434

Gomm JB, Williams D. 1995. Adaptive neural network for on-line learning and diagnosis of process faults IEE Colloquium (Digest),

GOMM JB, LISBOA PJG, WILLIAMS D, EVANS JT. 1994. ACCURATE MULTI-STEP-AHEAD PREDICTION OF NONLINEAR-SYSTEMS USING THE MLP NEURAL-NETWORK WITH SPREAD ENCODING TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 16 :203-213 DOI Author Url

Gomm JB, Yu DL. Selecting radial basis function network centers with recursive orthogonal least squares training. IEEE Trans Neural Netw, 11 :306-314 DOI Author Url

Pearson JD, Dangerfield PH, Atkinson JT, Gomm JB, Dorgan JC, Hobson CA, Harvey DM. Measurement of body surface topography using an automated imaging system. Acta Orthop Belg, 58 Suppl 1 :73-79 Author Url

Ertiame AM, Yu D, Yu F, Gomm JB. Robust fault diagnosis for an exothermic semi-batch polymerization reactor under open-loop Systems Science & Control Engineering, 3 :14-23 DOI Public Url

Conference publication

Qi H, Ertiame A, Madubuike K, Yu D-L, Gomm JB. 2018. Nonlinear Observer Fault Detection for a Multivariable Process Using a Learning Methodology Ma X. 2018 24TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC' 18), 24th IEEE International Conference on Automation and Computing (ICAC) - Improving Productivity through Automation and Computing Newcastle :340-345 DOI Author Url

Qi H, Ertiame A, Madubaike K, Yu D-L, Gomm JB. 2018. Failure Prediction for an Exothermic Semi-batch Reactor via A combined EKF with Statistical Method Ma X. 2018 24TH IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC' 18), 24th IEEE International Conference on Automation and Computing (ICAC) - Improving Productivity through Automation and Computing Newcastle :334-339 DOI Author Url

Rajarathinam K, Gomm JB, Yu D, Abdelhadi AS. 2016. Model Parameters Identification for Excess Oxygen by Standard Genetic Algorithm Xu Z, Wang J. 2016 22ND INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC), 22nd International Conference on Automation & Computing (ICAC) :198-203 DOI Author Url

Rajarathinam K, Gomm JB, Yu D, Abdelhadi AS. 2015. An improved search space resizing method for model identification by Standard Genetic Algorithm 2015 21st International Conference on Automation and Computing: Automation, Computing and Manufacturing for New Economic Growth, ICAC 2015, 21st International Conference on Automation and Computing (ICAC) :1-6 DOI Author Url Public Url

Rajarathinam K, Gomm JB, Jones KO, Yu D. 2015. Predetermined time constant approximation method for optimising search space boundary by standard genetic algorithm ACM International Conference Proceeding Series, 16th International Conference on Computer Systems and Technologies (CompSysTech'15) 1008 :38-45 DOI Public Url

Rajarathinam K, Gomm JB, Jones K, Abdelhadi AS. 2014. Decentralised Control Optimisation for a Glass Furnace by SGA’s Rachev B, Smrikarov A. ACM International Conference Proceeding Series, Computer Systems and Technologies, CompSysTech 2014 883 :248-255 DOI Public Url

Abdelhadi A, Gomm JB, Yu D, Rajarathinam K. 2014. Nonlinear System Identification and Control of a pH process using Local Linear Model Networks Strategy Luo X, Cao Y, Tong Z. PROCEEDINGS OF THE 2014 20TH INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC'14), 20th International Conference on Automation and Computing (ICAC) :254-259 DOI Author Url

Rajarathinam K, Gomm JB, Yu D, Abdelhadi AS. 2014. Decentralised PID Control Tuning for a Multivariable Glass Furnace by Genetic Algorithm Luo X, Cao Y, Tong Z. PROCEEDINGS OF THE 2014 20TH INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC'14), 20th International Conference on Automation and Computing (ICAC) :14-19 DOI Author Url

Abdelhadi A, Gomm JB, Yu D, Rajarathinam K. 2014. Comparison of RBF and Local Linear Model Networks for Nonlinear Identification of a pH Process 2014 UKACC INTERNATIONAL CONFERENCE ON CONTROL (CONTROL), United-Kingdom-Automatic-Control-Council (UKACC) 10th International Conference on Control (CONTROL) :361-366 DOI Author Url

Yu DL, Gomm JB. 2003. Implementation of neural network predictive control to a multivariable chemical reactor CONTROL ENGINEERING PRACTICE, 14th IFAC World Congress 11 :1315-1323 DOI Author Url

Yu DL, Gomm JB, Yu DW, Williams D. 2003. A localised forgetting method for on-line adaptation of gaussion RBFN models IFAC Proceedings Volumes (IFAC-PapersOnline), 36 :1083-1088 DOI

Yu DL, Gomm JB. 2002. RBFN model adaptation based on orthogonal decomposition Bittanti S. ADAPTATION AND LEARNING IN CONTROL AND SIGNAL PROCESSING 2001, IFAC Workshop on Adaptation and Learning in Control and Signal Processing :101-106 Author Url

Yu DL, Yu DW, Gomm JB, Williams D. 2002. Model predictive control of a chemical process based on an adaptive neural network IFAC Proceedings Volumes (IFAC-PapersOnline), 35 :295-300 DOI

Weerasinghe M, Gomm JB, Williams D. 1998. Neural networks for fault diagnosis of a nuclear fuel processing plant at different operating points CONTROL ENGINEERING PRACTICE, IFAC Symposium on Artificial Intelligence in Real-Time Control 6 :281-289 DOI Author Url

Gomm JB, Weerasinghe M, Williams D. 1998. Pruning and extraction of qualitative fault diagnosis rules from a neural network Dhurjati PS, Cauvin S. ON-LINE FAULT DETECTION AND SUPERVISION IN THE CHEMICAL PROCESS INDUSTRIES 1998, 3rd IFAC Workshop on On-Line Fault Detection and Supervision in the Chemical Process Industries 1998 :155-160 Author Url

Weerasinghe M, Gomm JB, Williams D. 1998. Diagnosing faults at different process operating points using neural networks Patton RJ, Chen J. (SAFEPROCESS'97): FAULT DETECTION, SUPERVISION AND SAFETY FOR TECHNICAL PROCESSES 1997, VOLS 1-3, 3rd IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes 1997 (SAFEPROCESS 97) :361-366 Author Url

Yu DL, Gomm JB, Williams D. 1998. Diagnosing sensor faults in a chemical process via rbf networks Patton RJ, Chen J. (SAFEPROCESS'97): FAULT DETECTION, SUPERVISION AND SAFETY FOR TECHNICAL PROCESSES 1997, VOLS 1-3, 3rd IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes 1997 (SAFEPROCESS 97) :893-898 Author Url

Yu DL, Gomm JB, Williams D. 1998. Selection of neural model order and time-delay for MIMO non-linear systems and a case study on a CSTR process Sawaragi Y, Sagara S. (SYSID'97): SYSTEM IDENTIFICATION, VOLS 1-3, 11th IFAC Symposium on System Identification (SYSID 97) :227-232 Author Url

Yu DL, Gomm JB, Williams D. 1998. Modelling a MIMO chemical process using a RBF network with recursive OLS updating Sawaragi Y, Sagara S. (SYSID'97): SYSTEM IDENTIFICATION, VOLS 1-3, 11th IFAC Symposium on System Identification (SYSID 97) :549-554 Author Url

Weerasinghe M, Gomm JB, Williams D. 1998. Fault diagnosis of a nuclear fuel process with different operating points using neural networks Rauch HE. ARTIFICIAL INTELLIGENCE IN REAL-TIME CONTROL 1997, IFAC Symposium on Artificial Intelligence in Real-Time Control :457-462 Author Url

Yu DL, Gomm JB, Williams D. 1998. Model predictive control of a chemical process using neural network UKACC INTERNATIONAL CONFERENCE ON CONTROL '98, VOLS I&II, UKACC International Conference on Control 98 :798-803 Author Url

Vlachos C, Williams D, Gomm JB. 1998. Solution to the shell standard control problem using genetic algorithms UKACC INTERNATIONAL CONFERENCE ON CONTROL '98, VOLS I&II, UKACC International Conference on Control 98 :1587-1592 Author Url

Dacosta P, Kordich C, Williams D, Gomm JB. 1997. Estimation of inaccessible fermentation states with variable inoculum sizes ARTIFICIAL INTELLIGENCE IN ENGINEERING, International Conference on Engineering Applications of Neural Networks (EANN 96) 11 :383-392 DOI Author Url

Doherty SK, Williams D, Gomm JB. 1995. Neural network identification and predictive control of an in-line pH process Love J. ADVANCES IN PROCESS CONTROL 4, Advances in Process Control 4 Symposium :57-64 Author Url

Doherty SK, Gomm JB, Williams D. 1995. Neural network identification of an in-line pH process Rawlings JB, Marquardt W, Bonvin D, Skogestad S. DYNAMICS AND CONTROL OF CHEMICAL REACTORS, DISTILLATION COLUMNS AND BATCH PROCESSES (DYCORD(PLUS) '95), 4th IFAC Symposium on Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes (DYCORD(plus) 95) :209-214 Author Url

YU DL, WILLIAMS D, SHIELD DN, GOMM JB. 1995. A parity space method of fault detection for bilinear systems PROCEEDINGS OF THE 1995 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 1995 American Control Conference :1132-1133 Author Url

YU DL, GOMM JB, SHIELDS DN, WILLIAMS D, DISDELL K. 1995. Fault diagnosis for a gas-fired furnace using bilinear observer method PROCEEDINGS OF THE 1995 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 1995 American Control Conference :1127-1131 Author Url

FINNEY GB, GOMM JB, WILLIAMS D, ATKINSON JT. 1994. INSPECTION OF CERAMIC TABLEWARE FOR QUALITY-CONTROL USING A NEURAL-NETWORK VISION SYSTEM Dowson BM, Wilson SS, Wu FY. MACHINE VISION APPLICATIONS IN INDUSTRIAL INSPECTION II, 20th Annual SPIE Conference on Machine Vision Applications in Industrial Inspection 2183 :145-154 DOI Author Url

EVANS JT, GOMM JB, WILLIAMS D, LISBOA PJG. 1994. IMPLEMENTATION AND PERFORMANCE EVALUATION OF AN ONLINE NEURAL-NETWORK CONTROL SCHEME INTERNATIONAL CONFERENCE ON CONTROL 94, VOLS 1 AND 2, International Conference on Control 94 :629-633 Author Url

DOHERTY SK, GOMM JB, WILLIAMS D, EARDLEY DC. 1994. DESIGN ISSUES IN APPLYING NEURAL NETWORKS TO MODEL HIGHLY NONLINEAR PROCESSES INTERNATIONAL CONFERENCE ON CONTROL 94, VOLS 1 AND 2, International Conference on Control 94 :1478-1483 Author Url

WILLIAMS D, EVANS JT, GOMM JB, LISBOA PJG. 1993. APPLICATION OF AN ARTIFICIAL NEURAL-NETWORK TO ONLINE CONTROL OF A PROCESS Rzevski G, Pastor J, Adey RA. APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ENGINEERING VIII, VOL 2, 8TH INTERNATIONAL CONF ON APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ENGINEERING ( AIENG 93 ) :771-786 Author Url

GOMM JB, WILLIAMS D, HARRIS P. 1993. DETECTION OF INCIPIENT PROCESS FAULTS USING APPROXIMATE PARAMETRIC MODELS Dhurjati PS, Stephanopoulos G. ON-LINE FAULT DETECTION AND SUPERVISION IN THE CHEMICAL PROCESS INDUSTRIES, SYMP ON ON-LINE FAULT DETECTION AND SUPERVISION IN THE CHEMICAL PROCESS INDUSTRIES 1993 :25-30 Author Url

Gomm JB, Evans JT, Williams D, Lisboa PJG. 1993. Development of a neural network model based controller for a non-linear process application Proceedings of the Workshop on Neural Network Applications and Tools, NNAT 1993, :109-117 DOI

EVANS JT, GOMM JB, WILLIAMS D, LISBOA PJG, TO QS. 1992. NONLINEAR PROCESS MODELING WITH ARTIFICIAL NEURAL NETWORKS Luker P. PROCEEDINGS OF THE 1992 SUMMER COMPUTER SIMULATION CONFERENCE, 1992 SUMMER COMPUTER SIMULATION CONF / 24TH ANNUAL SUMMER COMPUTER SIMULATION CONF :637-641 Author Url