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George W. Irwin
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2010 – 2019
- 2015
- [j61]Qun Niu, K. Li, George W. Irwin:
Differential evolution combined with clonal selection for dynamic economic dispatch. J. Exp. Theor. Artif. Intell. 27(3): 325-350 (2015) - [j60]Long Zhang
, Kang Li, Er-Wei Bai, George W. Irwin:
Two-Stage Orthogonal Least Squares Methods for Neural Network Construction. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1608-1621 (2015) - 2014
- [j59]Aolei Yang, Wasif Naeem
Stability Analysis and Implementation of a Decentralized Formation Control Strategy for Unmanned Vehicles. IEEE Trans. Control. Syst. Technol. 22(2): 706-720 (2014) - 2013
- [j58]Padhraig Gormley
Reverse Engineering of Biochemical Reaction Networks Using Co-evolution with Eng-Genes. Cogn. Comput. 5(1): 106-118 (2013) - [j57]Dajun Du
A novel automatic two-stage locally regularized classifier construction method using the extreme learning machine. Neurocomputing 102: 10-22 (2013) - [j56]Weihua Deng, Kang Li, George W. Irwin, Minrui Fei:
Identification and control of Hammerstein systems via wireless networks. Int. J. Syst. Sci. 44(9): 1613-1625 (2013) - [j55]Wanqing Zhao
A Hybrid Learning Method for Constructing Compact Rule-Based Fuzzy Models. IEEE Trans. Cybern. 43(6): 1807-1821 (2013) - [j54]Wanqing Zhao
A New Gradient Descent Approach for Local Learning of Fuzzy Neural Models. IEEE Trans. Fuzzy Syst. 21(1): 30-44 (2013) - [j53]Long Zhang
A New Discrete-Continuous Algorithm for Radial Basis Function Networks Construction. IEEE Trans. Neural Networks Learn. Syst. 24(11): 1785-1798 (2013) - 2012
- [j52]S. Campbell, Wasif Naeem
A review on improving the autonomy of unmanned surface vehicles through intelligent collision avoidance manoeuvres. Annu. Rev. Control. 36(2): 267-283 (2012) - [j51]Sanjay K. Sharma
Dynamic evolution of the genetic search region through fuzzy coding. Eng. Appl. Artif. Intell. 25(3): 443-456 (2012) - [j50]Dajun Du
A novel locally regularized automatic construction method for RBF neural models. Neurocomputing 98: 4-11 (2012) - [j49]Jing Deng, Kang Li, George W. Irwin:
Locally regularised two-stage learning algorithm for RBF network centre selection. Int. J. Syst. Sci. 43(6): 1157-1170 (2012) - [j48]Barbara Pizzileo, Kang Li, George W. Irwin, Wanqing Zhao
Improved Structure Optimization for Fuzzy-Neural Networks. IEEE Trans. Fuzzy Syst. 20(6): 1076-1089 (2012) - [c44]Aolei Yang, Wasif Naeem
Novel decentralised formation control for unmanned vehicles. Intelligent Vehicles Symposium 2012: 13-18 - 2011
- [j47]Jing Deng, Kang Li, George W. Irwin:
Fast automatic two-stage nonlinear model identification based on the extreme learning machine. Neurocomputing 74(16): 2422-2429 (2011) - [j46]Xiao-Lei Xia, Kang Li, George W. Irwin:
A hierarchical multiclass support vector machine incorporated with holistic triple learning units. Soft Comput. 15(5): 833-843 (2011) - [c43]Wanqing Zhao, Kang Li, George W. Irwin, Qun Niu:
A Hybrid Approach to Locally Optimized Interpretable Partitions of Fuzzy Neural Models. IJCCI (ECTA-FCTA) 2011: 461-465 - [c42]Xiaoqing Tang, Qun Niu, Kang Li, George W. Irwin:
A particle swarm optimization solution for economic dispatch. ISGT Europe 2011: 1-5 - 2010
- [c41]Jian Chen, George W. Irwin, Adrian D. McKernan:
Packet-based robust MPC for Wireless Networked Control using co-design. ACC 2010: 1829-1834 - [c40]Adrian D. McKernan, George W. Irwin:
Event-based sampling for wireless network control systems with QoS. ACC 2010: 1841-1846 - [c39]Jing Deng, Kang Li, George W. Irwin, Robert F. Harrison
A fast automatic construction algorithm for kernel fisher discriminant classifiers. CDC 2010: 2825-2830 - [c38]Wanqing Zhao
An Integrated Method for the Construction of Compact Fuzzy Neural Models. ICIC (1) 2010: 102-109 - [c37]Jing Deng, Kang Li, George W. Irwin, Minrui Fei:
Fast Forward RBF Network Construction Based on Particle Swarm Optimization. LSMS/ICSEE (2) 2010: 40-48 - [c36]Aolei Yang, Qun Niu, Wanqing Zhao
An Efficient Algorithm for Grid-Based Robotic Path Planning Based on Priority Sorting of Direction Vectors. LSMS/ICSEE (2) 2010: 456-466 - [e8]Kang Li, Minrui Fei, Li Jia, George W. Irwin:
Life System Modeling and Intelligent Computing, International Conference on Life System Modeling and Simulation, LSMS 2010, and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, Wuxi, China, September 17-20, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6328, Springer 2010, ISBN 978-3-642-15620-5 [contents] - [e7]Kang Li, Minrui Fei, Li Jia, George W. Irwin:
Life System Modeling and Intelligent Computing, International Conference on Life System Modeling and Simulation, LSMS 2010, and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, Wuxi, China, September 17-20, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6329, Springer 2010, ISBN 978-3-642-15596-3 [contents] - [e6]Kang Li, Li Jia, Xin Sun, Minrui Fei, George W. Irwin:
Life System Modeling and Intelligent Computing - International Conference on Life System Modeling and Simulation, LSMS 2010, and International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, Wuxi, China, September 17-20, 2010. Proceedings, Part III. Lecture Notes in Computer Science 6330, Springer 2010, ISBN 978-3-642-15614-4 [contents]
2000 – 2009
- 2009
- [j45]Adrian D. McKernan, Antonio Sala
Sampled-data gain scheduling of continuous LTV plants. Autom. 45(10): 2451-2453 (2009) - [j44]Xiao-Lei Xia, Kang Li, George W. Irwin:
Two-stage gene selection for support vector machine classification of microarray data. Int. J. Model. Identif. Control. 8(2): 164-171 (2009) - [j43]Barbara Pizzileo, Kang Li, George W. Irwin:
A fast method for fuzzy neural network modelling and refinement. Int. J. Model. Identif. Control. 8(3): 175-183 (2009) - [j42]Paul C. Wilson, George W. Irwin, John V. Lamont, Robert F. Harrison
Probabilistic classification of acute myocardial infarction from multiple cardiac markers. Pattern Anal. Appl. 12(4): 321-333 (2009) - [c35]Barbara Pizzileo, Kang Li, George W. Irwin:
A new algorithm for structure optimization in fuzzy neural networks. ICONS 2009: 1-6 - 2008
- [j41]David Antory, George W. Irwin, Uwe Kruger
Improved process monitoring using nonlinear principal component models. Int. J. Intell. Syst. 23(5): 520-544 (2008) - [j40]Patrick J. Connally, Kang Li, George W. Irwin:
Integrated structure selection and parameter optimisation for eng-genes neural models. Neurocomputing 71(13-15): 2964-2977 (2008) - [j39]Kang Li, Xia Hong, George W. Irwin:
Life System Modelling, Simulation, and Bio-inspired Computing (LSMS 2007). Neurocomputing 72(1-3): 126-127 (2008) - [j38]Emilio Ribes-Gómez, Seán F. McLoone
A taxonomy for wavelet neural networks applied to nonlinear modelling. Int. J. Syst. Sci. 39(6): 607-627 (2008) - [j37]Xia Hong, Richard J. Mitchell, Sheng Chen
Model selection approaches for non-linear system identification: a review. Int. J. Syst. Sci. 39(10): 925-946 (2008) - [j36]Xun Wang, Uwe Kruger
Nonlinear PCA With the Local Approach for Diesel Engine Fault Detection and Diagnosis. IEEE Trans. Control. Syst. Technol. 16(1): 122-129 (2008) - [j35]Jian Xun Peng, Kang Li, George W. Irwin:
A New Jacobian Matrix for Optimal Learning of Single-Layer Neural Networks. IEEE Trans. Neural Networks 19(1): 119-129 (2008) - [c34]James H. Niblock, Jian Xun Peng, Karen McMenemy, George W. Irwin:
Automated Object Identification and Position Estimation for Airport Lighting Quality Assessment. VISIGRAPP (Selected Papers) 2008: 262-275 - [c33]James H. Niblock, Jian Xun Peng, Karen McMenemy, George W. Irwin:
Autonomous Model-Based Object Identification & Camera Position Estimation with Application to Airport Lighting Quality Control. VISAPP (2) 2008: 383-390 - 2007
- [j34]Patrick J. Connally, Kang Li, George W. Irwin:
Prediction- and simulation-error based perceptron training: Solution space analysis and a novel combined training scheme. Neurocomputing 70(4-6): 819-827 (2007) - [j33]Chun-Hou Zheng, De-Shuang Huang, Kang Li, George W. Irwin, Zhan-Li Sun:
MISEP Method for Postnonlinear Blind Source Separation. Neural Comput. 19(9): 2557-2578 (2007) - [j32]Jian Xun Peng, Kang Li, George W. Irwin:
A Novel Continuous Forward Algorithm for RBF Neural Modelling. IEEE Trans. Autom. Control. 52(1): 117-122 (2007) - [c32]Sanjay K. Sharma
Fuzzy logic for priority based genetic search in evolving a neural network architecture. IEEE Congress on Evolutionary Computation 2007: 1648-1653 - [c31]Peter C. Hung, Seán F. McLoone, George W. Irwin, Robert J. Kee:
Blind two-thermocouple sensor characterisation. ICINCO-SPSMC 2007: 10-16 - [c30]Jeremy Colandairaj, George W. Irwin, William G. Scanlon
A Co-Design Solution for Wireless Feedback Control. ICNSC 2007: 404-409 - [c29]Barbara Pizzileo, Kang Li, George W. Irwin:
A Fast Fuzzy Neural Modelling Method for Nonlinear Dynamic Systems. ISNN (1) 2007: 496-504 - [c28]Padhraig Gormley
Modelling the MAPK Signalling Pathway Using a Two-Stage Identification Algorithm. LSMS (2) 2007: 480-491 - [e5]Kang Li, Minrui Fei, George W. Irwin, Shiwei Ma:
Bio-Inspired Computational Intelligence and Applications, International Conference on Life System Modeling and Simulation, LSMS 2007, Shanghai, China, September 14-17, 2007, Proceedings. Lecture Notes in Computer Science 4688, Springer 2007, ISBN 978-3-540-74768-0 [contents] - [e4]Kang Li, Xin Li, George W. Irwin, Guosen He:
Life System Modeling and Simulation, International Conference, LSMS 2007, Shanghai, China, September 14-17, 2007, Proceedings. Lecture Notes in Computer Science 4689, Springer 2007, ISBN 978-3-540-74770-3 [contents] - 2006
- [j31]Dirk Lieftucht, Uwe Kruger
Improved reliability in diagnosing faults using multivariate statistics. Comput. Chem. Eng. 30(5): 901-912 (2006) - [j30]Pingkang Li, Uwe Kruger
Identification of dynamic systems under closed-loop control. Int. J. Syst. Sci. 37(3): 181-195 (2006) - [c27]Patrick J. Connally, Kang Li, George W. Irwin:
Integrated Structure and Parameter Selection for Eng-genes Neural Models. ICIC (1) 2006: 168-177 - [c26]Shun Pei, De-Shuang Huang, Kang Li, George W. Irwin:
Gene Selection by Cooperative Competition Clustering. ICIC (3) 2006: 464-474 - [c25]George W. Irwin, Jeremy Colandairaj, William G. Scanlon:
An Overview of Wireless Networks in Control and Monitoring. ICIC (2) 2006: 1061-1072 - [c24]Xing Yan, Lei Cao, De-Shuang Huang, Kang Li, George W. Irwin:
A Novel Feature Fusion Approach Based on Blocking and Its Application in Image Recognition. ICIC (1) 2006: 1085-1091 - [e3]De-Shuang Huang, Kang Li, George W. Irwin:
Intelligent Computing, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part I. Lecture Notes in Computer Science 4113, Springer 2006, ISBN 3-540-37271-7 [contents] - [e2]De-Shuang Huang, Kang Li, George W. Irwin:
Computational Intelligence, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part II. Lecture Notes in Computer Science 4114, Springer 2006, ISBN 3-540-37274-1 [contents] - [e1]De-Shuang Huang, Kang Li, George W. Irwin:
Computational Intelligence and Bioinformatics, International Conference on Intelligent Computing, ICIC 2006, Kunming, China, August 16-19, 2006. Proceedings, Part III. Lecture Notes in Computer Science 4115, Springer 2006, ISBN 3-540-37277-6 [contents] - 2005
- [j29]Uwe Kruger
Introduction of a nonlinearity measure for principal component models. Comput. Chem. Eng. 29(11-12): 2355-2362 (2005) - [j28]Pingkang Li, George W. Irwin, Uwe Kruger
A recursive rule base adjustment algorithm for a fuzzy logic controller. Fuzzy Sets Syst. 156(2): 267-284 (2005) - [j27]Vijanth S. Asirvadam, Seán F. McLoone
Computationally efficient sequential learning algorithms for direct link resource-allocating networks. Neurocomputing 69(1-3): 142-157 (2005) - [j26]James J. Govindhasamy, Seán F. McLoone, George W. Irwin, John J. French, Richard P. Doyle:
Reinforcement Learning for Online Industrial Process Control. J. Adv. Comput. Intell. Intell. Informatics 9(1): 23-30 (2005) - [j25]Kang Li, Jian Xun Peng, George W. Irwin:
A Fast Nonlinear Model Identification Method. IEEE Trans. Autom. Control. 50(8): 1211-1216 (2005) - [j24]James J. Govindhasamy, Seán F. McLoone
Second-order training of adaptive critics for online process control. IEEE Trans. Syst. Man Cybern. Part B 35(2): 381-385 (2005) - [c23]Dirk Lieftucht, Uwe Kruger
Compensation terms to improve fault detection in multivariate auto-correlated processes. CDC/ECC 2005: 3827-3831 - 2004
- [c22]Vijanth S. Asirvadam, Seán F. McLoone, George W. Irwin:
Fast sequential learning methods on RBF-network using decomposed training algorithms. ISIC 2004: 84-89 - [c21]Dirk Lieftucht, Uwe Krüger, George W. Irwin:
Improved diagnosis of sensor faults using multivariate statistics. ACC 2004: 4403-4407 - 2003
- [j23]Lixin Ren, George W. Irwin:
Robust fuzzy Gustafson-Kessel clustering for nonlinear system identification. Int. J. Syst. Sci. 34(14-15): 787-803 (2003) - [j22]Sanjay K. Sharma
Fuzzy coding of genetic algorithms. IEEE Trans. Evol. Comput. 7(4): 344-355 (2003) - [c20]Qinghao Rong, George W. Irwin:
LMI-based control design for discrete polytopic LPV systems. ECC 2003: 1489-1494 - [c19]Qinghao Rong, George W. Irwin:
Robust control design of linear systems with polytopic time-varying uncertainty: An iterative SDP approach. ECC 2003: 1774-1779 - [c18]Vijanth S. Asirvadam, Seán F. McLoone, George W. Irwin:
Fast and efficient sequential learning algorithms using direct-link RBF networks. NNSP 2003: 209-218 - [c17]James J. Govindhasamy, Seán F. McLoone, George W. Irwin:
An adaptive critic based neurocontroller for process control. NNSP 2003: 849-858 - 2002
- [j21]Seán F. McLoone, Shaun McGinnity, George W. Irwin:
Comparison of two construction algorithms for local model networks. Int. J. Syst. Sci. 33(13): 1059-1072 (2002) - [c16]Sanjeev Kumar Sharma
Genetic algorithms for local model and local controller network design. ACC 2002: 1693-1698 - [c15]Vijanth S. Asirvadam, Seán F. McLoone, George W. Irwin:
Parallel and separable recursive Levenberg-Marquardt training algorithm. NNSP 2002: 129-138 - 2001
- [j20]Seán F. McLoone, George W. Irwin:
Improving neural network training solutions using regularisation. Neurocomputing 37(1-4): 71-90 (2001) - [c14]Seamus C. McLoone, George W. Irwin:
On nonlinear modelling using velocity-based multiple model networks. ACC 2001: 1622-1627 - [c13]George W. Irwin, Damian Flynn, M. D. Brown:
Multiple controller AVR for a microalternator. ECC 2001: 2318-2321 - [c12]Girijesh Prasad, George W. Irwin, E. Swidenbank, B. W. Hogg:
A complete formulation of non-linear model-based stable predictive control strategy. ECC 2001: 3458-3463 - [c11]S. K. Sharma, George W. Irwin, Seán F. McLoone:
Genetic learning for construction and parameter identification of local model networks. ECC 2001: 3671-3674 - [p1]Shaun McGinnity, George W. Irwin:
Manoeuvring Target Tracking Using a Multiple-Model Bootstrap Filter. Sequential Monte Carlo Methods in Practice 2001: 479-497 - 2000
- [j19]D. J. H. Wilson, George W. Irwin:
Pls Modelling and Fault Detection on the Tennessee Eastman Benchmark. Int. J. Syst. Sci. 31(11): 1449-1457 (2000) - [j18]Shaun McGinnity, George W. Irwin:
Multiple model bootstrap filter for maneuvering target tracking. IEEE Trans. Aerosp. Electron. Syst. 36(3-1): 1006-1012 (2000) - [c10]A. W. Moran, P. O'Reilly, George W. Irwin:
A case study in on-line intelligent sensing. ACC 2000: 3949-3953
1990 – 1999
- 1999
- [j17]Bailin Cao, Gordon I. Dodds, George W. Irwin:
Redundancy resolution and obstacle avoidance for cooperative industrial robots. J. Field Robotics 16(7): 405-417 (1999) - [j16]Seán F. McLoone, George W. Irwin:
A Variable Memory Quasi-Newton Training Algorithm. Neural Process. Lett. 9(1): 77-89 (1999) - [j15]D. J. H. Wilson, George W. Irwin, Gordon Lightbody
RBF principal manifolds for process monitoring. IEEE Trans. Neural Networks 10(6): 1424-1434 (1999) - [c9]Guangren Duan, George W. Irwin, Guo-Ping Liu
Partial eigenstructure assignment by state feedback: A complete parametric approach. ECC 1999: 1890-1895 - [c8]Bailin Cao, Gordon I. Dodds, George W. Irwin:
An event driven virtual reality system for planning and control of multiple robots. IROS 1999: 1161-1166 - 1998
- [j14]Bailin Cao, Gordon I. Dodds, George W. Irwin:
A Practical Approach to Near Time-Optimal Inspection-Task-Sequence Planning for Two Cooperative Industrial Robot Arms. Int. J. Robotics Res. 17(8): 858-867 (1998) - [j13]Seán F. McLoone, George W. Irwin:
Nonlinear Optimization of Rbf Networks. Int. J. Syst. Sci. 29(2): 179-189 (1998) - [j12]Seán F. McLoone
A hybrid linear/nonlinear training algorithm for feedforward neural networks. IEEE Trans. Neural Networks 9(4): 669-684 (1998) - [c7]Bailin Cao, Gordon I. Dodds, George W. Irwin:
Optimal placement and grasping of two robot arms holding a common object based on workspace usage. SMC 1998: 3353-3358 - 1997
- [j11]Damian Flynn
Neural control of turbogenerator systems. Autom. 33(11): 1961-1973 (1997) - [j10]Shaun McGinnity, George W. Irwin:
Nonlinear state estimation using fuzzy local linear models. Int. J. Syst. Sci. 28(7): 643-656 (1997) - [j9]David M. McDowell, George W. Irwin, Gordon Lightbody
Hybrid neural adaptive control for bank-to-turn missiles. IEEE Trans. Control. Syst. Technol. 5(3): 297-308 (1997) - [j8]Gordon Lightbody
Nonlinear control structures based on embedded neural system models. IEEE Trans. Neural Networks 8(3): 553-567 (1997) - [j7]Seán F. McLoone
Fast parallel off-line training of multilayer perceptrons. IEEE Trans. Neural Networks 8(3): 646-653 (1997) - [c6]Bailin Cao, Gordon I. Dodds, George W. Irwin:
Time-suboptimal inspection task sequence planning for two cooperative robot arms using mixed optimization algorithms. ICRA 1997: 2103-2108 - [c5]Bailin Cao, Gordon I. Dodds, George W. Irwin:
Optimal redundancy resolution for cooperative industrial robots. IROS 1997: 23-29 - 1996
- [j6]Gordon Lightbody
Multi-layer perceptron based modelling of nonlinear systems. Fuzzy Sets Syst. 79(1): 93-112 (1996) - [j5]Bailin Cao, Gordon I. Dodds, George W. Irwin:
An approach to time-optimal, smooth and collision-free path planning in a two robot arm environment. Robotica 14(1): 61-70 (1996) - [j4]George W. Irwin:
Preface to the Special Issue on "The Engineering of Complex Real-Time Computer Control Systems". Real Time Syst. 11(3): 221-222 (1996) - [c4]Bailin Cao, Gordon I. Dodds, George W. Irwin:
Practical implementation of time-efficient trajectory planning for two cooperative industrial robot arms. IROS 1996: 932-939 - 1995
- [j3]Jiri Kadlec, F. M. F. Gaston, George W. Irwin:
The block regularised parameter estimator and its parallelisation. Autom. 31(8): 1125-1136 (1995) - [c3]Bailin Cao, Gordon I. Dodds, George W. Irwin:
Implementation of TIme-Optimal Smooth and Collision-Free Path Planning in a Thwo Robot Arm Enviroment. ICRA 1995: 715-720 - 1994
- [c2]Bailin Cao, Gordon I. Dodds, George W. Irwin:
Time-Optimal and Smooth Constrained Path Planning for Robot Manipulators. ICRA 1994: 1853-1858 - 1993
- [c1]Gordon I. Dodds, George W. Irwin:
Multi-Arm Robotics in a Practical Application Under Transputer Based Control. ICRA (1) 1993: 505-510 - 1992
- [j2]Q. Henry Wu, B. W. Hogg, George W. Irwin:
A neural network regulator for turbogenerators. IEEE Trans. Neural Networks 3(1): 95-100 (1992) - 1990
- [j1]F. M. F. Gaston, George W. Irwin, John G. McWhirter:
Systolic square root covariance Kalman filtering. J. VLSI Signal Process. 2(1): 37-49 (1990)
Coauthor Index
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