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ORCIDVisakan Kadirkamanathan
2020 – today
- 2024
[j75]William R. Jacobs
, Visakan Kadirkamanathan, Sean R. Anderson:
Interpretable Deep Learning for Nonlinear System Identification Using Frequency Response Functions With Ensemble Uncertainty Quantification. IEEE Access 12: 11052-11065 (2024)- [j74]Weixin Cui, Shan Lou, Wenhan Zeng, Visakan Kadirkamanathan, Yuchu Qin, Paul J. Scott, Xiangqian Jiang:
Unlocking freeform structured surface denoising with small sample learning: Enhancing performance via physics-informed loss and detail-driven data augmentation. Adv. Eng. Informatics 62: 102733 (2024) - [c56]Bin Chen, Chaoyue Niu, Erica Smith, Rob Bramley, Pete Crawforth, Mahdi Mahfouf, Visakan Kadirkamanathan:
A Novel Spindle Speed and Angle Estimation Strategy in Multi-material Robotic Drilling. CASE 2024: 1222-1227 - [c55]Bohua Peng, Bin Chen, Wei He, Visakan Kadirkamanathan:
Prototype-aware Feature Selection for Multi-view Action Prediction in Human-Robot Collaboration. ETFA 2024: 1-7 - [c54]Bohua Peng, Bin Chen, Wei He, William Thorne, Visakan Kadirkamanathan:
Efficient Token Sparsification Through the Lens of Infused Knowledge. FUSION 2024: 1-8 - [c53]Chaoyue Niu, Bin Chen, Erica Smith, Robert Bramley, Pete Crawforth, Mahdi Mahfouf, Visakan Kadirkamanathan:
Pixel-based Hole Quality Evaluation in Robot Drilling Manufacturing Process. INDIN 2024: 1-6 - 2023
- [j73]Anastasia Kadochnikova, Visakan Kadirkamanathan:
Estimation of potential field environments from heterogeneous behaviour of sensing agents. IET Signal Process. 17(1) (2023) - [j72]Anastasia Kadochnikova, Yunpeng Zhu, Zi-Qiang Lang, Visakan Kadirkamanathan:
Integrated Identification of the Nonlinear Autoregressive Models With Exogenous Inputs (NARX) for Engineering Systems Design. IEEE Trans. Control. Syst. Technol. 31(1): 394-401 (2023) - [j71]Fabio Luis de Mello, J. Mark Wilkinson, Visakan Kadirkamanathan:
Metaparametric Neural Networks for Survival Analysis. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4047-4056 (2023) - [c52]Victoria Johnson, João A. Duro, Visakan Kadirkamanathan, Robin C. Purshouse:
A Scalable Test Suite for Bi-objective Multidisciplinary Optimization. EMO 2023: 319-332 - [c51]Victoria Johnson, João A. Duro, Visakan Kadirkamanathan, Robin C. Purshouse:
A distributed multi-disciplinary design optimization benchmark test suite with constraints and multiple conflicting objectives. GECCO Companion 2023: 1611-1619 - [c50]Sabeethan Kanagasingham, Andrew R. Mills, Visakan Kadirkamanathan:
Distributed Kalman Filtering for Temporal Resolution Enhancement of Thermal Images. ISPA 2023: 1-6 - [c49]Grigoris Michos, George C. Konstantopoulos, Paul A. Trodden, Visakan Kadirkamanathan:
Control of Isolated AC Microgrids with Constant Power Loads: A Set Invariance Approach. MED 2023: 239-244 - [i6]Felipe Montana, Adam Hartwell, Will Jacobs, Visakan Kadirkamanathan, Andrew R. Mills, Tom Clark:
Through-life Monitoring of Resource-constrained Systems and Fleets. CoRR abs/2301.01017 (2023) - 2022
- [j70]Andrei-Constantin Braitor, George C. Konstantopoulos, Visakan Kadirkamanathan:
Stability analysis of DC micro-grids with CPLs under novel decentralized primary and distributed secondary control. Autom. 139: 110187 (2022) - [j69]Romain Guicherd, Paul A. Trodden, Andrew R. Mills, Visakan Kadirkamanathan:
Supervised-distributed control with joint performance and communication optimisation. Int. J. Control 95(5): 1371-1382 (2022) - [j68]Mateo Leco, Thomas McLeay, Visakan Kadirkamanathan:
A two-step machining and active learning approach for right-first-time robotic countersinking through in-process error compensation and prediction of depth of cuts. Robotics Comput. Integr. Manuf. 77: 102345 (2022) - [c48]Victoria Johnson, João A. Duro, Visakan Kadirkamanathan, Robin C. Purshouse:
Toward scalable benchmark problems for multi-objective multidisciplinary optimization. SSCI 2022: 133-140 - 2021
- [j67]Romain Guicherd, Andrew R. Mills, Paul A. Trodden, Visakan Kadirkamanathan:
Simultaneous and Sequential Control Design for Discrete-Time Switched Linear Systems Using Semi-Definite Programming. IEEE Control. Syst. Lett. 5(4): 1393-1398 (2021) - [j66]Evgeny Zotov, Visakan Kadirkamanathan:
CycleStyleGAN-Based Knowledge Transfer for a Machining Digital Twin. Frontiers Artif. Intell. 4: 767451 (2021) - [j65]Evgeny Zotov, Ashutosh Tiwari, Visakan Kadirkamanathan:
Conditional StyleGAN modelling and analysis for a machining digital twin. Integr. Comput. Aided Eng. 28(4): 399-415 (2021) - [j64]Xinxin Wang, Yurui Chang, Zeshui Xu, Zidong Wang, Visakan Kadirkamanathan:
50 Years of international journal of systems science: a review of the past and trends for the future. Int. J. Syst. Sci. 52(8): 1515-1538 (2021) - [j63]Mateo Leco, Visakan Kadirkamanathan:
A perturbation signal based data-driven Gaussian process regression model for in-process part quality prediction in robotic countersinking operations. Robotics Comput. Integr. Manuf. 71: 102105 (2021) - [j62]Andrei-Constantin Braitor, George C. Konstantopoulos, Visakan Kadirkamanathan:
Current-Limiting Droop Control Design and Stability Analysis for Paralleled Boost Converters in DC Microgrids. IEEE Trans. Control. Syst. Technol. 29(1): 385-394 (2021) - [c47]Romain Guicherd, Andrew R. Mills, Paul A. Trodden, Visakan Kadirkamanathan:
Simultaneous and Sequential Control Design for Discrete-Time Switched Linear Systems Using Semi-Definite Programming. ACC 2021: 3794-3799 - [c46]Andrei-Constantin Braitor, George C. Konstantopoulos, Visakan Kadirkamanathan:
Enhanced Primary Droop Controller for Meshed DC Micro-Grids with Overvoltage Protection. MED 2021: 368-373 - [i5]Fabio Luis de Mello, J. Mark Wilkinson, Visakan Kadirkamanathan:
Metaparametric Neural Networks for Survival Analysis. CoRR abs/2110.06610 (2021) - [i4]Adam Hartwell, Felipe Montana, Will Jacobs, Visakan Kadirkamanathan, Andrew R. Mills, Tom Clark:
In-flight Novelty Detection with Convolutional Neural Networks. CoRR abs/2112.03765 (2021) - 2020
- [j61]Moschos Papananias, Thomas E. McLeay, Olusayo Obajemu, Mahdi Mahfouf, Visakan Kadirkamanathan:
Inspection by exception: A new machine learning-based approach for multistage manufacturing. Appl. Soft Comput. 97(Part): 106787 (2020) - [j60]Evgeny Zotov, Andrew F. Hills, Fabio L. de Mello, Parham Aram, Adrian Sayers, Ashley W. Blom, Eugene V. McCloskey, J. Mark Wilkinson, Visakan Kadirkamanathan:
JointCalc: A web-based personalised patient decision support tool for joint replacement. Int. J. Medical Informatics 142: 104217 (2020) - [j59]William Mycroft, Mordechai Katzman, Samuel Tammas-Williams, Everth Hernandez-Nava, George Panoutsos, Iain Todd, Visakan Kadirkamanathan:
A data-driven approach for predicting printability in metal additive manufacturing processes. J. Intell. Manuf. 31(7): 1769-1781 (2020) - [j58]Julian Mercieca, Parham Aram, Bryn Ll. Jones, Visakan Kadirkamanathan:
A Spatiotemporal Estimation Framework for Real-World LIDAR Wind Speed Measurements. IEEE Trans. Control. Syst. Technol. 28(4): 1595-1602 (2020) - [c45]Evgeny Zotov, Ashutosh Tiwari, Visakan Kadirkamanathan:
Towards a Digital Twin with Generative Adversarial Network Modelling of Machining Vibration. EANN 2020: 190-201 - [c44]Andrei-Constantin Braitor, George C. Konstantopoulos, Visakan Kadirkamanathan:
Novel droop control design for overvoltage protection of DC microgrids with a constant power load. MED 2020: 875-880 - [i3]Adam Hartwell, Visakan Kadirkamanathan, Sean R. Anderson:
A Temporal-to-Spatial Neural Network for Classification of Hand Movements from Electromyography Data. CoRR abs/2007.10879 (2020)
2010 – 2019
- 2019
- [j57]Moschos Papananias, Thomas E. McLeay, Mahdi Mahfouf, Visakan Kadirkamanathan:
A Bayesian framework to estimate part quality and associated uncertainties in multistage manufacturing. Comput. Ind. 105: 35-47 (2019) - [j56]Shlomo Yaakov Gadelovits, Qing-Chang Zhong, Visakan Kadirkamanathan, Alon Kuperman:
Uncertainty and Disturbance Estimator-Based Controller Equipped With a Time-Delayed Filter to Improve the Voltage Quality of Inverters. IEEE Trans. Ind. Electron. 66(1): 459-469 (2019) - [j55]Shlomo Yaakov Gadelovits, Dauren Insepov, Visakan Kadirkamanathan, Qing-Chang Zhong, Alon Kuperman:
Uncertainty and Disturbance Estimator Based Controller Equipped With a Multiple-Time-Delayed Filter to Improve the Voltage Quality of Inverters. IEEE Trans. Ind. Electron. 66(11): 8947-8957 (2019) - [c43]João A. Duro, Robin C. Purshouse, Shaul Salomon, Daniel C. Oara, Visakan Kadirkamanathan, Peter J. Fleming:
sParEGO - A Hybrid Optimization Algorithm for Expensive Uncertain Multi-objective Optimization Problems. EMO 2019: 424-438 - [c42]Ibrahim Sanusi, Andrew R. Mills, Paul A. Trodden, Visakan Kadirkamanathan, Tony J. Dodd:
Reinforcement learning for condition-based control of gas turbine engines. ECC 2019: 3928-3933 - 2018
- [j54]Anderson L. O. Cavalcanti, Karl Heinz Kienitz, Visakan Kadirkamanathan:
Identification of Two-Time Scaled Systems Using Prefilters. J. Control. Sci. Eng. 2018: 3138149:1-3138149:10 (2018) - [j53]Christopher J. Hambley, Bryn Ll. Jones, Ian Griffin, Andrew R. Mills, Visakan Kadirkamanathan:
Optimized synthesis of cost-effective, controllable oil system architectures for turbofan engines. Syst. Eng. 21(5): 417-431 (2018) - [c41]Adam Hartwell, Visakan Kadirkamanathan, Sean R. Anderson:
Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals. BioRob 2018: 891-896 - [c40]Andrei-Constantin Braitor, Pablo R. Baldivieso Monasterios, George C. Konstantopoulos, Visakan Kadirkamanathan:
Current-Limiting Droop Control Design of Paralleled AC/DC and DC/DC Converters in DC Micro-Grids. IECON 2018: 132-137 - [i2]Adam Hartwell, Visakan Kadirkamanathan, Sean R. Anderson:
Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals. CoRR abs/1806.08641 (2018) - 2017
- [j52]Shlomo Yaakov Gadelovits, Qing-Chang Zhong, Visakan Kadirkamanathan, Alon Kuperman:
UDE-Based Controller Equipped with a Multi-Band-Stop Filter to Improve the Voltage Quality of Inverters. IEEE Trans. Ind. Electron. 64(9): 7433-7443 (2017) - [c39]Visakan Kadirkamanathan:
Statistical estimation of spatio-temporal systems. ICAC 2017: 1 - [c38]Visakan Kadirkamanathan:
MED 2017 Plenary lectures and tutorial: Modelling, estimation and identification of spatio-temporal and multiscale systems. MED 2017: 1-2 - [c37]Andrei-Constantin Braitor, George C. Konstantopoulos, Visakan Kadirkamanathan:
Power sharing of parallel operated DC-DC converters using current-limiting droop control. MED 2017: 528-533 - [i1]Romain Guicherd, Paul A. Trodden, Andrew R. Mills, Visakan Kadirkamanathan:
Weak Interactions Based System Partitioning Using Integer Linear Programming. CoRR abs/1705.06526 (2017) - 2016
- [j51]Julian Mercieca, Visakan Kadirkamanathan:
Estimation and Identification of Spatio-Temporal Models with Applications in Engineering, Healthcare and Social Science. Annu. Rev. Control. 42: 285-298 (2016) - [j50]Allan De Freitas, Lyudmila Mihaylova, Amadou Gning, Donka S. Angelova, Visakan Kadirkamanathan:
Autonomous crowds tracking with box particle filtering and convolution particle filtering. Autom. 69: 380-394 (2016) - [j49]Kirubhakaran Krishnanathan, Sean R. Anderson, Stephen A. Billings, Visakan Kadirkamanathan:
Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation. Int. J. Syst. Sci. 47(15): 3537-3544 (2016) - [c36]Adam Hartwell, Visakan Kadirkamanathan, Sean R. Anderson:
Person-specific gesture set selection for optimised movement classification from EMG signals. EMBC 2016: 880-883 - 2015
- [j48]Parham Aram, Lingli Shen, John A. Pugh, Seetharaman Vaidyanathan, Visakan Kadirkamanathan:
An efficient TOF-SIMS image analysis with spatial correlation and alternating non-negativity-constrained least squares. Bioinform. 31(5): 753-760 (2015) - [j47]Shahnoor Shanta, Visakan Kadirkamanathan:
A bootstrap-based approach for parameter and polyspectral density estimation of a non-minimum phase ARMA process. Int. J. Syst. Sci. 46(3): 418-428 (2015) - [j46]Parham Aram, Dean R. Freestone, Mark J. Cook, Visakan Kadirkamanathan, David B. Grayden:
Model-based estimation of intra-cortical connectivity using electrophysiological data. NeuroImage 118: 563-575 (2015) - [j45]Parham Aram, Visakan Kadirkamanathan, Sean R. Anderson:
Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2978-2983 (2015) - [c35]Julian Mercieca, Parham Aram, Visakan Kadirkamanathan:
Unscented Rauch-Tung-Striebel smoothing for nonlinear descriptor systems. ECC 2015: 491-496 - 2013
- [b1]Andrew Zammit-Mangion, Michael Dewar, Visakan Kadirkamanathan, Anaid Flesken, Guido Sanguinetti:
Modeling Conflict Dynamics with Spatio-temporal Data. Springer Briefs in Applied Sciences and Technology, Springer 2013, ISBN 978-3-319-01037-3, pp. I-VIII, 1-74 - [j44]Tara Baldacchino, Sean R. Anderson, Visakan Kadirkamanathan:
Computational system identification for Bayesian NARMAX modelling. Autom. 49(9): 2641-2651 (2013) - [j43]Parham Aram, Dean R. Freestone, Michael Dewar, Kenneth Scerri, Viktor K. Jirsa, David B. Grayden, Visakan Kadirkamanathan:
Spatiotemporal multi-resolution approximation of the Amari type neural field model. NeuroImage 66: 88-102 (2013) - [c34]Geoffrey R. Holmes, Sean R. Anderson, Giles Dixon, Stephen A. Renshaw, Visakan Kadirkamanathan:
A Bayesian framework for identifying cell migration dynamics. EMBC 2013: 3455-3458 - 2012
- [j42]Tara Baldacchino, Sean R. Anderson, Visakan Kadirkamanathan:
Structure detection and parameter estimation for NARX models in a unified EM framework. Autom. 48(5): 857-865 (2012) - [j41]Andrew Zammit-Mangion, Guido Sanguinetti, Visakan Kadirkamanathan:
Variational Estimation in Spatiotemporal Systems From Continuous and Point-Process Observations. IEEE Trans. Signal Process. 60(7): 3449-3459 (2012) - [c33]Jing Yang, Hua-Liang Wei, Visakan Kadirkamanathan, Xiaofang Lin:
System identification from small data sets using an output jittering method with application to model estimation of bioethanol production. ICMLC 2012: 949-955 - [c32]Jing Yang, Xiaofang Ling, Lishan Yao, Hua-Liang Wei, Visakan Kadirkamanathan:
System identification of the fermentation system of Thermoanaerobacter sp. X514. ISB 2012: 158-163 - 2011
- [j40]Andrew Zammit-Mangion, Ke Yuan, Visakan Kadirkamanathan, Mahesan Niranjan, Guido Sanguinetti:
Online Variational Inference for State-Space Models with Point-Process Observations. Neural Comput. 23(8): 1967-1999 (2011) - [j39]Dean R. Freestone, Parham Aram, Michael Dewar, Kenneth Scerri, David B. Grayden, Visakan Kadirkamanathan:
A data-driven framework for neural field modeling. NeuroImage 56(3): 1043-1058 (2011) - 2010
- [j38]Alex Shenfield, Peter J. Fleming, Visakan Kadirkamanathan, Jeff Allan:
Optimisation of maintenance scheduling strategies on the grid. Ann. Oper. Res. 180(1): 213-231 (2010) - [j37]Michael Dewar, Visakan Kadirkamanathan, Manfred Opper, Guido Sanguinetti:
Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster. BMC Syst. Biol. 4: 21 (2010) - [j36]Peter J. Fleming, Visakan Kadirkamanathan:
Editorial. Int. J. Syst. Sci. 41(7): 727 (2010) - [j35]M. A. Chadwick, Sean R. Anderson, Visakan Kadirkamanathan:
An iterative Kalman smoother/least-squares algorithm for the identification of delta-ARX models. Int. J. Syst. Sci. 41(7): 839-851 (2010) - [j34]George Papadatos, Muhammad Alkarouri, Valerie J. Gillet, Peter Willett, Visakan Kadirkamanathan, Christopher N. Luscombe, Gianpaolo Bravi, Nicola J. Richmond, Stephen D. Pickett, Jameed Hussain, John Pritchard, Anthony W. J. Cooper, Simon J. F. Macdonald:
Lead Optimization Using Matched Molecular Pairs: Inclusion of Contextual Information for Enhanced Prediction of hERG Inhibition, Solubility, and Lipophilicity. J. Chem. Inf. Model. 50(10): 1872-1886 (2010)
2000 – 2009
- 2009
- [j33]Victor Olariu, Daniel Coca, Stephen A. Billings, Peter Tonge, Paul Gokhale, Peter W. Andrews, Visakan Kadirkamanathan:
Modified variational Bayes EM estimation of hidden Markov tree model of cell lineages. Bioinform. 25(21): 2824-2830 (2009) - [j32]Visakan Kadirkamanathan, C. Halauca, Sean R. Anderson:
Predictive control of fast-sampled systems using the delta-operator. Int. J. Syst. Sci. 40(7): 745-756 (2009) - [j31]George Papadatos, Anthony W. J. Cooper, Visakan Kadirkamanathan, Simon J. F. Macdonald, Iain M. McLay, Stephen D. Pickett, John Pritchard, Peter Willett, Valerie J. Gillet:
Analysis of Neighborhood Behavior in Lead Optimization and Array Design. J. Chem. Inf. Model. 49(2): 195-208 (2009) - [j30]Michael Dewar, Kenneth Scerri, Visakan Kadirkamanathan:
Data-Driven Spatio-Temporal Modeling Using the Integro-Difference Equation. IEEE Trans. Signal Process. 57(1): 83-91 (2009) - [j29]Kenneth Scerri, Michael Dewar, Visakan Kadirkamanathan:
Estimation and Model Selection for an IDE-Based Spatio-Temporal Model. IEEE Trans. Signal Process. 57(2): 482-492 (2009) - [c31]Harini Kulatunga, William J. Knottenbelt, Visakan Kadirkamanathan:
Adaptive Planning of Staffing Levels in Health Care Organisations. eHealth 2009: 88-95 - [c30]Ping Li, Ian Postlethwaite, Visakan Kadirkamanathan, Michael Z. Q. Chen:
A Rao-Blackwellised particle filter-based likelihood ratio approach to fault diagnosis for linear stochastic systems. ECC 2009: 1907-1912 - [c29]Victor Olariu, Daniel Coca, Stephen A. Billings, Visakan Kadirkamanathan:
Modelling Stem Cells Lineages with Markov Trees. PRIB 2009: 233-243 - [e1]Visakan Kadirkamanathan, Guido Sanguinetti, Mark A. Girolami, Mahesan Niranjan, Josselin Noirel:
Pattern Recognition in Bioinformatics, 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009. Proceedings. Lecture Notes in Computer Science 5780, Springer 2009, ISBN 978-3-642-04030-6 [contents] - 2008
- [j28]Visakan Kadirkamanathan, Sean R. Anderson:
Maximum-Likelihood Estimation of Delta-Domain Model Parameters From Noisy Output Signals. IEEE Trans. Signal Process. 56(8-1): 3765-3770 (2008) - 2007
- [j27]Sean R. Anderson, Visakan Kadirkamanathan:
Modelling and identification of non-linear deterministic systems in the delta-domain. Autom. 43(11): 1859-1868 (2007) - [j26]Xiaoxu Ren, Max Ong, Geoffrey Allan, Visakan Kadirkamanathan, Haydn A. Thompson, Peter J. Fleming:
Service-oriented architecture on the Grid for integrated fault diagnostics. Concurr. Comput. Pract. Exp. 19(2): 223-234 (2007) - [j25]Shahnoor Shanta, Visakan Kadirkamanathan:
Parametric polyspectrum density estimation using the bootstrap method. Signal Process. 87(1): 177-188 (2007) - [j24]Sean R. Anderson, Paul Dean, Visakan Kadirkamanathan, Chris R. S. Kaneko, John Porrill:
System Identification From Multiple Short-Time-Duration Signals. IEEE Trans. Biomed. Eng. 54(12): 2205-2213 (2007) - [j23]Jing Yang, Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright:
Metabolic Flux Estimation-A Self-Adaptive Evolutionary Algorithm with Singular Value Decomposition. IEEE ACM Trans. Comput. Biol. Bioinform. 4(1): 126-138 (2007) - [j22]Michael Dewar, Visakan Kadirkamanathan:
A Canonical Space-Time State Space Model: State and Parameter Estimation. IEEE Trans. Signal Process. 55(10): 4862-4870 (2007) - [c28]G. M. Allan, N. D. Allan, Visakan Kadirkamanathan, Peter J. Fleming:
Risk Mining for Strategic Decision Making. AWIC 2007: 21-28 - [c27]Jing Yang, Visakan Kadirkamanathan, Stephen A. Billings:
In vivo Intracellular Metabolite Dynamics Estimation by Sequential Monte Carlo Filter. CIBCB 2007: 387-394 - [c26]Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright:
Metabolic Flux Estimation from Incomplete Labelling Measurements Using the Expectation/Conditional-Maximisation Algorithm. CIBCB 2007: 410-417 - [c25]Luka Eciolaza, Muhammad Alkarouri, Neil D. Lawrence, Visakan Kadirkamanathan, Peter J. Fleming:
Gaussian Process Latent Variable Models for Fault Detection. CIDM 2007: 287-292 - [c24]Tomohiro Hachino, Visakan Kadirkamanathan:
Time Series Forecasting Using Multiple Gaussian Process Prior Model. CIDM 2007: 604-609 - [c23]Alex Shenfield, Peter J. Fleming, Jeff Allan, Visakan Kadirkamanathan:
Optimisation of Maintenance Scheduling Strategies on the Grid. CISched 2007: 231-237 - 2006
- [j21]Visakan Kadirkamanathan, Jing Yang, Stephen A. Billings, Phillip C. Wright:
Markov Chain Monte Carlo Algorithm based metabolic flux distribution analysis on Corynebacterium glutamicum. Bioinform. 22(21): 2681-2687 (2006) - [j20]M. A. Chadwick, Visakan Kadirkamanathan, S. A. Billings:
Analysis of fast-sampled non-linear systems: Generalised frequency response functions for delta-operator models. Signal Process. 86(11): 3246-3257 (2006) - [j19]Nordin Bin Saad, Visakan Kadirkamanathan:
A DES approach for the contextual load modelling of supply chain system for instability analysis. Simul. Model. Pract. Theory 14(5): 541-563 (2006) - [j18]Harini Kulatunga, Visakan Kadirkamanathan:
Multiple H∞ Filter-Based Deterministic Sequence Estimation in Non-Gaussian Channels. IEEE Signal Process. Lett. 13(4): 185-188 (2006) - [j17]Visakan Kadirkamanathan, Kirusnapillai Selvarajah, Peter J. Fleming:
Stability analysis of the particle dynamics in particle swarm optimizer. IEEE Trans. Evol. Comput. 10(3): 245-255 (2006) - [j16]Harini Kulatunga, Visakan Kadirkamanathan:
Adaptive joint detection and estimation in MIMO systems: a hybrid systems approach. IEEE Trans. Signal Process. 54(5): 1629-1644 (2006) - [c22]Kirusnapillai Selvarajah, Visakan Kadirkamanathan:
Energy Efficient Sink Node Placement in Sensor Networks Using Particle Swarm Optimization. ANTS Workshop 2006: 510-511 - 2005
- [j15]Sean R. Anderson, Visakan Kadirkamanathan, Andrew J. Chipperfield, V. Sharifi, J. Swithenbank:
Multi-objective optimization of operational variables in a waste incineration plant. Comput. Chem. Eng. 29(5): 1121-1130 (2005) - [j14]Peter J. Fleming, Visakan Kadirkamanathan:
IJSS Editorial. Int. J. Syst. Sci. 36(1) (2005) - [j13]Max Ong, Xiaoxu Ren, Geoffrey Allan, Visakan Kadirkamanathan, Haydn A. Thompson, Peter J. Fleming:
Decision support system on the grid. Int. J. Knowl. Based Intell. Eng. Syst. 9(4): 315-326 (2005) - [c21]Max Ong, Muhammad Alkarouri, Xiaoxu Ren, Geoffrey Allan, Visakan Kadirkamanathan, Haydn A. Thompson, Peter J. Fleming:
Grid-Based Decision Support with Pro-Active Mobile Computing. IEEE SCC 2005: 59-66 - [c20]Jing Yang, Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright:
Differential Evolution and Its Application to Metabolic Flux Analysis. EvoWorkshops 2005: 115-124 - 2004
- [c19]Jing Yang, Sarawan Wongsa, Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright:
Self-adaptive evolutionary algorithm based methods for quantification in metabolic systems. CIBCB 2004: 260-267 - [c18]Xiaoxu Ren, Max Ong, Geoffrey Allan, Visakan Kadirkamanathan, Haydn A. Thompson, Peter J. Fleming:
Integrated Fault Diagnostics on the Grid. ICECCS 2004: 59-65 - [c17]Max Ong, Xiaoxu Ren, Jeff Allan, Visakan Kadirkamanathan, Haydn A. Thompson, Peter J. Fleming:
Decision Support System on the Grid. KES 2004: 699-710 - [c16]Xiaoxu Ren, Max Ong, Geoffrey Allan, Visakan Kadirkamanathan, Haydn A. Thompson, Peter J. Fleming:
A Service Oriented Architecture for Integration of Fault Diagnostics. SAG 2004: 146-157 - 2003
- [j12]Paul J. Stewart, Visakan Kadirkamanathan:
Commutation of permanent-magnet synchronous AC motors for military and traction applications. IEEE Trans. Ind. Electron. 50(3): 629-630 (2003) - [c15]Ping Li, Roger M. Goodall, Visakan Kadirkamanathan:
Parameter estimation of railway vehicle dynamic model using rao-blackwellised particle filter. ECC 2003: 2384-2389 - [c14]Harini Kulatunga, M. H. Jawad, Visakan Kadirkamanathan:
Multiple models for blind multiuser detection in MIMO DS/CDMA systems. GLOBECOM 2003: 2453-2457 - 2002
- [j11]Visakan Kadirkamanathan, Ping Li, Mohamed Hisham Jaward, Simon G. Fabri:
Particle filtering-based fault detection in non-linear stochastic systems. Int. J. Syst. Sci. 33(4): 259-265 (2002) - [c13]Mohamed Hisham Jaward, Visakan Kadirkamanathan:
Interacting multiple model for adaptive narrowband interference rejection in spread spectrum systems. PIMRC 2002: 1227-1231 - [c12]Mohamed Hisham Jaward, Visakan Kadirkamanathan:
Adaptive multiuser detection for frequency selective channel using IMM. PIMRC 2002: 1275-1279 - 2001
- [j10]Shane Regunath, Visakan Kadirkamanathan:
Design of a pH control system using fuzzy non-uniform grid scheduling and evolutionary programming. Appl. Soft Comput. 1(1): 91-104 (2001) - [j9]Ping Li, Visakan Kadirkamanathan:
Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems. IEEE Trans. Syst. Man Cybern. Part C 31(3): 337-343 (2001) - [c11]Ping Li, Visakan Kadirkamanathan:
Particle filtering based multiple-model approach to fault diagnosis in nonlinear stochastic systems. ECC 2001: 1378-1383 - [c10]Mohamed Hisham Jaward, Visakan Kadirkamanathan:
Interacting multiple models for single-user channel estimation and equalization. ICASSP 2001: 2101-2104 - 2000
- [j8]Guoping Liu, Stephen A. Billings, Visakan Kadirkamanathan:
Nonlinear system identification using wavelet networks. Int. J. Syst. Sci. 31(12): 1531-1541 (2000) - [c9]Visakan Kadirkamanathan, Mohamed Hisham Jaward, Simon G. Fabri, Maha Kadirkamanathan:
Particle filters for recursive model selection in linear and nonlinear system identification. CDC 2000: 2391-2396 - [c8]Visakan Kadirkamanathan, Ping Li, Mohamed Hisham Jaward, Simon G. Fabri:
A sequential Monte Carlo filtering approach to fault detection and isolation in nonlinear systems. CDC 2000: 4341-4346
1990 – 1999
- 1999
- [j7]Visakan Kadirkamanathan:
Fuzzy Logic and Control: Software and Hardware Applications. Mohammad Jamshidi, Nader Vadiee and Timothy J. Ross (eds.). Artif. Intell. Rev. 13(4): 337-339 (1999) - [j6]Guoping Liu, Visakan Kadirkamanathan, Stephen A. Billings:
Neural network-based variable structure control for nonlinear discrete systems. Int. J. Syst. Sci. 30(10): 1153-1160 (1999) - [j5]Guoping Liu, Visakan Kadirkamanathan, Stephen A. Billings:
Variable neural networks for adaptive control of nonlinear systems. IEEE Trans. Syst. Man Cybern. Part C 29(1): 34-43 (1999) - 1998
- [j4]Simon G. Fabri, Visakan Kadirkamanathan:
Dual adaptive control of nonlinear stochastic systems using neural networks. Autom. 34(2): 245-253 (1998) - [j3]Guoping Liu, Visakan Kadirkamanathan, Stephen A. Billings:
On-line identification of nonlinear systems using Volterra polynomial basis function neural networks. Neural Networks 11(9): 1645-1657 (1998) - 1997
- [c7]Norbert Jankowski, Visakan Kadirkamanathan:
Statistical Control of RBF-like Networks for Classification. ICANN 1997: 385-390 - 1996
- [j2]Simon G. Fabri, Visakan Kadirkamanathan:
Dynamic structure neural networks for stable adaptive control of nonlinear systems. IEEE Trans. Neural Networks 7(5): 1151-1167 (1996) - 1995
- [c6]Visakan Kadirkamanathan, Maha Kadirkamanathan:
Recursive Estimation of Dynamic Modular RBF Networks. NIPS 1995: 239-245 - 1994
- [c5]Gu Junxiao, Visakan Kadirkamanathan:
A B-Spline Based Algorithm for Shape From Shading. MVA 1994: 119-122 - 1993
- [j1]Visakan Kadirkamanathan, Mahesan Niranjan:
A Function Estimation Approach to Sequential Learning with Neural Networks. Neural Comput. 5(6): 954-975 (1993) - 1992
- [c4]Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside:
Models of dynamic complexity for time-series prediction (neural networks). ICASSP 1992: 269-272 - 1991
- [c3]Mahesan Niranjan, Visakan Kadirkamanathan:
A nonlinear model for time series prediction and signal interpolation. ICASSP 1991: 1713-1716 - [c2]Visakan Kadirkamanathan, Mahesan Niranjan:
Nonlinear adaptive filtering in nonstationary environments. ICASSP 1991: 2177-2180 - 1990
- [c1]Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside:
Sequential Adaptation of Radial Basis Function Networks. NIPS 1990: 721-727
Coauthor Index
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