George W Irwin
George W Irwin
Emeritus Professor of Control Engineering, Queens University Belfast, UK
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A review on improving the autonomy of unmanned surface vehicles through intelligent collision avoidance manoeuvres
S Campbell, W Naeem, GW Irwin
Annual Reviews in Control 36 (2), 267-283, 2012
Process monitoring approach using fast moving window PCA
X Wang, U Kruger, GW Irwin
Industrial & engineering chemistry research 44 (15), 5691-5702, 2005
Multiple model bootstrap filter for maneuvering target tracking
S McGinnity, GW Irwin
IEEE Transactions on Aerospace and Electronic systems 36 (3), 1006-1012, 2000
A fast nonlinear model identification method
K Li, JX Peng, GW Irwin
IEEE Transactions on Automatic Control 50 (8), 1211-1216, 2005
Handbuch der physik
GR Irwin
Bd 6, 551-590, 1958
Model selection approaches for non-linear system identification: a review
X Hong, RJ Mitchell, S Chen, CJ Harris, K Li, GW Irwin
International journal of systems science 39 (10), 925-946, 2008
Neural network applications in control
GW Irwin, GW Irwin, K Warwick, KJ Hunt
Iet, 1995
COLREGs-based collision avoidance strategies for unmanned surface vehicles
W Naeem, GW Irwin, A Yang
Mechatronics 22 (6), 669-678, 2012
A hybrid linear/nonlinear training algorithm for feedforward neural networks
S McLoone, MD Brown, G Irwin, A Lightbody
IEEE transactions on Neural Networks 9 (4), 669-684, 1998
A neural network regulator for turbogenerators
QH Wu, BW Hogg, GW Irwin
IEEE Transactions on Neural Networks 3 (1), 95-100, 1992
Direct neural model reference adaptive control
G Lightbody, GW Irwin
IEE Proceedings-Control Theory and Applications 142 (1), 31-43, 1995
Nonlinear control structures based on embedded neural system models
G Lightbody, GW Irwin
IEEE transactions on Neural Networks 8 (3), 553-567, 1997
Neural networks for control and systems
K Warwick, GW Irwin, KJ Hunt
Peter Peregrinus on behalf of the Institution of Electrical Engineers, 1992
Wireless networked control systems with QoS-based sampling
J Colandairaj, GW Irwin, WG Scanlon
IET Control Theory & Applications 1 (1), 430-438, 2007
Neural network engineering in dynamic control systems
KJ Hunt, GR Irwin, K Warwick
Springer Science & Business Media, 2012
Nonlinear PCA with the local approach for diesel engine fault detection and diagnosis
X Wang, U Kruger, GW Irwin, G McCullough, N McDowell
IEEE Transactions on Control Systems Technology 16 (1), 122-129, 2007
Nonlinear internal model control using local model networks
MD Brown, G Lightbody, GW Irwin
IEE Proceedings-Control Theory and Applications 144 (6), 505-514, 1997
Improved principal component monitoring of large-scale processes
U Kruger, Y Zhou, GW Irwin
Journal of Process Control 14 (8), 879-888, 2004
Improving neural network training solutions using regularisation
S Mc Loone, G Irwin
Neurocomputing 37 (1-4), 71-90, 2001
RBF principal manifolds for process monitoring
DJH Wilson, GW Irwin, G Lightbody
IEEE Transactions on Neural Networks 10 (6), 1424-1434, 1999
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