A function estimation approach to sequential learning with neural networks V Kadirkamanathan, M Niranjan Neural computation 5 (6), 954-975, 1993 | 617 | 1993 |
Stability analysis of the particle dynamics in particle swarm optimizer V Kadirkamanathan, K Selvarajah, PJ Fleming IEEE Transactions on Evolutionary Computation 10 (3), 245-255, 2006 | 451 | 2006 |
Dynamic structure neural networks for stable adaptive control of nonlinear systems S Fabri, V Kadirkamanathan IEEE Transactions on Neural Networks 7 (5), 1151-1167, 1996 | 259 | 1996 |
Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems P Li, V Kadirkamanathan IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2001 | 244 | 2001 |
A zebrafish compound screen reveals modulation of neutrophil reverse migration as an anti-inflammatory mechanism AL Robertson, GR Holmes, AN Bojarczuk, J Burgon, CA Loynes, ... Science translational medicine 6 (225), 225ra29-225ra29, 2014 | 215 | 2014 |
Functional adaptive control: an intelligent systems approach S Fabri, V Kadirkamanathan Springer Science & Business Media, 2001 | 157 | 2001 |
Point process modelling of the Afghan War Diary A Zammit-Mangion, M Dewar, V Kadirkamanathan, G Sanguinetti Proceedings of the National Academy of Sciences 109 (31), 12414-12419, 2012 | 154 | 2012 |
Predictive control for non-linear systems using neural networks GP Liu, V Kadirkamanathan International Journal of Control 71 (6), 1119-1132, 1998 | 141 | 1998 |
Variable neural networks for adaptive control of nonlinear systems GP Liu, V Kadirkamanathan, SA Billings IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 1999 | 140 | 1999 |
Estimation of parameters in a linear state space model using a Rao-Blackwellised particle filter P Li, R Goodall, V Kadirkamanathan IEE Proceedings-control theory and applications 151 (6), 727-738, 2004 | 133 | 2004 |
Particle filtering-based fault detection in non-linear stochastic systems V Kadirkamanathan, P Li, MH Jaward, SG Fabri International Journal of Systems Science 33 (4), 259-265, 2002 | 127 | 2002 |
Lead optimization using matched molecular pairs: inclusion of contextual information for enhanced prediction of HERG inhibition, solubility, and lipophilicity G Papadatos, M Alkarouri, VJ Gillet, P Willett, V Kadirkamanathan, ... Journal of chemical information and modeling 50 (10), 1872-1886, 2010 | 123 | 2010 |
Source-side series-virtual-impedance control to improve the cascaded system stability and the dynamic performance of its source converter X Zhang, QC Zhong, V Kadirkamanathan, J He, J Huang IEEE Transactions on Power Electronics 34 (6), 5854-5866, 2018 | 98 | 2018 |
Modelling and identification of non-linear deterministic systems in the delta-domain SR Anderson, V Kadirkamanathan Automatica 43 (11), 1859-1868, 2007 | 76 | 2007 |
On-line identification of nonlinear systems using Volterra polynomial basis function neural networks GP Liu, V Kadirkamanathan, SA Billings Neural Networks 11 (9), 1645-1657, 1998 | 74 | 1998 |
Multiobjective criteria for neural network structure selection and identification of nonlinear systems using genetic algorithms GP Liu, V Kadirkamanathan IEE Proceedings-Control Theory and Applications 146 (5), 373-382, 1999 | 72 | 1999 |
A data-driven framework for neural field modeling DR Freestone, P Aram, M Dewar, K Scerri, DB Grayden, ... NeuroImage 56 (3), 1043-1058, 2011 | 71 | 2011 |
Dual adaptive control of nonlinear stochastic systems using neural networks S Fabri, V Kadirkamanathan Automatica 34 (2), 245-253, 1998 | 71 | 1998 |
Statistical control of RBF-like networks for classification N Jankowski, V Kadirkamanathan Artificial Neural Networks—ICANN'97: 7th International Conference Lausanne …, 1997 | 69 | 1997 |
Parameter estimation of railway vehicle dynamic model using Rao-Blackwellised particle filter P Li, R Goodall, V Kadirkamanathan 2003 European Control Conference (ECC), 2384-2389, 2003 | 68 | 2003 |