Visakan Kadirkamanathan
Visakan Kadirkamanathan
Professor of Signal and Information Processing, University of Sheffield
Zweryfikowany adres z sheffield.ac.uk
Cytowane przez
Cytowane przez
A function estimation approach to sequential learning with neural networks
V Kadirkamanathan, M Niranjan
Neural computation 5 (6), 954-975, 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
Dynamic structure neural networks for stable adaptive control of nonlinear systems
S Fabri, V Kadirkamanathan
Department of Automatic Control and Systems Engineering, 1994
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
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
Functional adaptive control: an intelligent systems approach
S Fabri, V Kadirkamanathan
Springer Science & Business Media, 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
Predictive control for non-linear systems using neural networks
GP Liu, V Kadirkamanathan
International Journal of Control 71 (6), 1119-1132, 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
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
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
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
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
Modelling and identification of non-linear deterministic systems in the delta-domain
SR Anderson, V Kadirkamanathan
Automatica 43 (11), 1859-1868, 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
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
A data-driven framework for neural field modeling
DR Freestone, P Aram, M Dewar, K Scerri, DB Grayden, ...
NeuroImage 56 (3), 1043-1058, 2011
Dual adaptive control of nonlinear stochastic systems using neural networks
S Fabri, V Kadirkamanathan
Automatica 34 (2), 245-253, 1998
Statistical control of RBF-like networks for classification
N Jankowski, V Kadirkamanathan
International Conference on Artificial Neural Networks, 385-390, 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
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