Liverpool Skyline

Department of Electronics and Electrical Engineering

Dr Barry Gomm

Dr Barry Gomm

Telephone: 0151 231 2360

Publications

Journal Articles

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

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

Ertiame AM, Yu D, Yu F, Gomm J. 2015. Robust fault diagnosis for an exothermic semi-batch polymerization reactor under open-loop Systems Science & Control Engineering, 3 :14-23 >DOI

Yu DL, Hamad A, Gomm JB, Sangha MS. 2014. Dynamic fault detection and isolation for automotive engine air path by independent neural network model INTERNATIONAL JOURNAL OF ENGINE RESEARCH, 15 :87-100 >DOI >Link

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

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

Sangha MS, Gomm JB, Yu DL, Page GF. 2005. Fault detection and identification of automotive engines using neural networks IFAC Proceedings Volumes (IFAC-PapersOnline), 16 :272-277

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), 16 :242-247

Yu DL, Yu DW, Gomm JB, Page GF. 2005. A new development of adaptive model predictive control IFAC Proceedings Volumes (IFAC-PapersOnline), 16 :348-353

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 >Link

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

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

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

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 >Link

Gomm JB, Yu DL. 2000. Selecting radial basis function network centers with recursive orthogonal least squares training. IEEE Trans Neural Netw, 11 :306-314 >DOI >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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

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

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

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

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 >Link

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 >Link

Pearson JD, Dangerfield PH, Atkinson JT, Gomm JB, Dorgan JC, Hobson CA, Harvey DM. 1992. Measurement of body surface topography using an automated imaging system. Acta Orthop Belg, 58 Suppl 1 :73-79 >Link

Conference Publication (journal proceedings)

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 >Link

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 (ICAC), 21st International Conference on Automation and Computing (ICAC) :383-388 >Link

Rajarathianm 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, 1008 :38-45 >DOI

Rajarathianm K, Gomm JB, Jones K, Abdelhadi AS. 2014. Decentralised control optimisation for a Glass Furnace by SGA's ACM International Conference Proceeding Series, 883 :248-255 >DOI

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 >Link

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 >Link

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 >Link

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 >Link

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), 15 :295-300

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link