Visakan Kadirkamanathan

According to our database1, Visakan Kadirkamanathan authored at least 91 papers between 1990 and 2019.

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Bibliography

2019
Uncertainty and Disturbance Estimator-Based Controller Equipped With a Time-Delayed Filter to Improve the Voltage Quality of Inverters.
IEEE Trans. Industrial Electronics, 2019

Uncertainty and Disturbance Estimator Based Controller Equipped With a Multiple-Time-Delayed Filter to Improve the Voltage Quality of Inverters.
IEEE Trans. Industrial Electronics, 2019

A Bayesian framework to estimate part quality and associated uncertainties in multistage manufacturing.
Computers in Industry, 2019

sParEGO - A Hybrid Optimization Algorithm for Expensive Uncertain Multi-objective Optimization Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

2018
Current-Limiting Droop Control Design of Paralleled AC/DC and DC/DC Converters in DC Micro-Grids.
Proceedings of the IECON 2018, 2018

Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018

2017
UDE-Based Controller Equipped with a Multi-Band-Stop Filter to Improve the Voltage Quality of Inverters.
IEEE Trans. Industrial Electronics, 2017

MED 2017 Plenary lectures and tutorial: Modelling, estimation and identification of spatio-temporal and multiscale systems.
Proceedings of the 25th Mediterranean Conference on Control and Automation, 2017

Power sharing of parallel operated DC-DC converters using current-limiting droop control.
Proceedings of the 25th Mediterranean Conference on Control and Automation, 2017

Statistical estimation of spatio-temporal systems.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

2016
Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation.
Int. J. Systems Science, 2016

Autonomous crowds tracking with box particle filtering and convolution particle filtering.
Automatica, 2016

Estimation and Identification of Spatio-Temporal Models with Applications in Engineering, Healthcare and Social Science.
Annual Reviews in Control, 2016

Person-specific gesture set selection for optimised movement classification from EMG signals.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation.
IEEE Trans. Neural Netw. Learning Syst., 2015

Model-based estimation of intra-cortical connectivity using electrophysiological data.
NeuroImage, 2015

A bootstrap-based approach for parameter and polyspectral density estimation of a non-minimum phase ARMA process.
Int. J. Systems Science, 2015

An efficient TOF-SIMS image analysis with spatial correlation and alternating non-negativity-constrained least squares.
Bioinformatics, 2015

Unscented Rauch-Tung-Striebel smoothing for nonlinear descriptor systems.
Proceedings of the European Control Conference, 2015

2013
Spatiotemporal multi-resolution approximation of the Amari type neural field model.
NeuroImage, 2013

Computational system identification for Bayesian NARMAX modelling.
Automatica, 2013

A Bayesian framework for identifying cell migration dynamics.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Modeling Conflict Dynamics with Spatio-temporal Data.
Springer Briefs in Applied Sciences and Technology, Springer, ISBN: 978-3-319-01038-0, 2013

2012
Variational Estimation in Spatiotemporal Systems From Continuous and Point-Process Observations.
IEEE Trans. Signal Processing, 2012

Structure detection and parameter estimation for NARX models in a unified EM framework.
Automatica, 2012

System identification of the fermentation system of Thermoanaerobacter sp. X514.
Proceedings of the 6th IEEE International Conference on Systems Biology, 2012

System identification from small data sets using an output jittering method with application to model estimation of bioethanol production.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011
A data-driven framework for neural field modeling.
NeuroImage, 2011

Online Variational Inference for State-Space Models with Point-Process Observations.
Neural Computation, 2011

2010
Lead Optimization Using Matched Molecular Pairs: Inclusion of Contextual Information for Enhanced Prediction of hERG Inhibition, Solubility, and Lipophilicity.
Journal of Chemical Information and Modeling, 2010

Editorial.
Int. J. Systems Science, 2010

An iterative Kalman smoother/least-squares algorithm for the identification of delta-ARX models.
Int. J. Systems Science, 2010

Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster.
BMC Systems Biology, 2010

Optimisation of maintenance scheduling strategies on the grid.
Annals OR, 2010

2009
Estimation and Model Selection for an IDE-Based Spatio-Temporal Model.
IEEE Trans. Signal Processing, 2009

Data-Driven Spatio-Temporal Modeling Using the Integro-Difference Equation.
IEEE Trans. Signal Processing, 2009

Analysis of Neighborhood Behavior in Lead Optimization and Array Design.
Journal of Chemical Information and Modeling, 2009

Predictive control of fast-sampled systems using the delta-operator.
Int. J. Systems Science, 2009

Modified variational Bayes EM estimation of hidden Markov tree model of cell lineages.
Bioinformatics, 2009

Modelling Stem Cells Lineages with Markov Trees.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

A Rao-Blackwellised particle filter-based likelihood ratio approach to fault diagnosis for linear stochastic systems.
Proceedings of the European Control Conference, 2009

Adaptive Planning of Staffing Levels in Health Care Organisations.
Proceedings of the Electronic Healthcare - Second International ICST Conference, 2009

2008
Maximum-Likelihood Estimation of Delta-Domain Model Parameters From Noisy Output Signals.
IEEE Trans. Signal Processing, 2008

2007
A Canonical Space-Time State Space Model: State and Parameter Estimation.
IEEE Trans. Signal Processing, 2007

Metabolic Flux Estimation-A Self-Adaptive Evolutionary Algorithm with Singular Value Decomposition.
IEEE/ACM Trans. Comput. Biology Bioinform., 2007

System Identification From Multiple Short-Time-Duration Signals.
IEEE Trans. Biomed. Engineering, 2007

Parametric polyspectrum density estimation using the bootstrap method.
Signal Processing, 2007

Service-oriented architecture on the Grid for integrated fault diagnostics.
Concurrency and Computation: Practice and Experience, 2007

Modelling and identification of non-linear deterministic systems in the delta-domain.
Automatica, 2007

Optimisation of Maintenance Scheduling Strategies on the Grid.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

Time Series Forecasting Using Multiple Gaussian Process Prior Model.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Gaussian Process Latent Variable Models for Fault Detection.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

In vivo Intracellular Metabolite Dynamics Estimation by Sequential Monte Carlo Filter.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

Metabolic Flux Estimation from Incomplete Labelling Measurements Using the Expectation/Conditional-Maximisation Algorithm.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

Risk Mining for Strategic Decision Making.
Proceedings of the Advances in Intelligent Web Mastering, Proceedings of the 5th Atlantic Web Intelligence Conference - AWIC 2007, Fontainebleau, France, June 25, 2007

2006
Adaptive joint detection and estimation in MIMO systems: a hybrid systems approach.
IEEE Trans. Signal Processing, 2006

Stability analysis of the particle dynamics in particle swarm optimizer.
IEEE Trans. Evolutionary Computation, 2006

Multiple H Filter-Based Deterministic Sequence Estimation in Non-Gaussian Channels.
IEEE Signal Process. Lett., 2006

A DES approach for the contextual load modelling of supply chain system for instability analysis.
Simulation Modelling Practice and Theory, 2006

Analysis of fast-sampled non-linear systems: Generalised frequency response functions for delta-operator models.
Signal Processing, 2006

Markov Chain Monte Carlo Algorithm based metabolic flux distribution analysis on Corynebacterium glutamicum.
Bioinformatics, 2006

Energy Efficient Sink Node Placement in Sensor Networks Using Particle Swarm Optimization.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006

2005
Decision support system on the grid.
KES Journal, 2005

IJSS Editorial.
Int. J. Systems Science, 2005

Multi-objective optimization of operational variables in a waste incineration plant.
Computers & Chemical Engineering, 2005

Differential Evolution and Its Application to Metabolic Flux Analysis.
Proceedings of the Applications of Evolutionary Computing, 2005

Grid-Based Decision Support with Pro-Active Mobile Computing.
Proceedings of the 2005 IEEE International Conference on Services Computing (SCC 2005), 2005

2004
A Service Oriented Architecture for Integration of Fault Diagnostics.
Proceedings of the Scientific Applications of Grid Computing, First International Workshop, 2004

Decision Support System on the Grid.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Integrated Fault Diagnostics on the Grid.
Proceedings of the 9th International Conference on Engineering of Complex Computer Systems (ICECCS 2004), 2004

Self-adaptive evolutionary algorithm based methods for quantification in metabolic systems.
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004

2003
Commutation of permanent-magnet synchronous AC motors for military and traction applications.
IEEE Trans. Industrial Electronics, 2003

Multiple models for blind multiuser detection in MIMO DS/CDMA systems.
Proceedings of the Global Telecommunications Conference, 2003

2002
Particle filtering-based fault detection in non-linear stochastic systems.
Int. J. Systems Science, 2002

Adaptive multiuser detection for frequency selective channel using IMM.
Proceedings of the 13th IEEE International Symposium on Personal, 2002

Interacting multiple model for adaptive narrowband interference rejection in spread spectrum systems.
Proceedings of the 13th IEEE International Symposium on Personal, 2002

2001
Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2001

Design of a pH control system using fuzzy non-uniform grid scheduling and evolutionary programming.
Appl. Soft Comput., 2001

Interacting multiple models for single-user channel estimation and equalization.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Nonlinear system identification using wavelet networks.
Int. J. Systems Science, 2000

1999
Variable neural networks for adaptive control of nonlinear systems.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 1999

Neural network-based variable structure control for nonlinear discrete systems.
Int. J. Systems Science, 1999

Fuzzy Logic and Control: Software and Hardware Applications. Mohammad Jamshidi, Nader Vadiee and Timothy J. Ross (eds.).
Artif. Intell. Rev., 1999

1998
On-line identification of nonlinear systems using Volterra polynomial basis function neural networks.
Neural Networks, 1998

Dual adaptive control of nonlinear stochastic systems using neural networks.
Automatica, 1998

1997
Statistical Control of RBF-like Networks for Classification.
Proceedings of the Artificial Neural Networks, 1997

1996
Dynamic structure neural networks for stable adaptive control of nonlinear systems.
IEEE Trans. Neural Networks, 1996

1995
Recursive Estimation of Dynamic Modular RBF Networks.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994
A B-Spline Based Algorithm for Shape From Shading.
Proceedings of IAPR Workshop on Machine Vision Applications, 1994

1993
A Function Estimation Approach to Sequential Learning with Neural Networks.
Neural Computation, 1993

1990
Sequential Adaptation of Radial Basis Function Networks.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990


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