Visakan Kadirkamanathan

发表

An iterative Kalman smoother/least-squares algorithm for the identification of delta-ARX models

M. A. Chadwick, Sean R. Anderson, Visakan Kadirkamanathan, 2010, Int. J. Syst. Sci..

Kalman filter based estimation of dynamic modular networks

Visakan Kadirkamanathan, M. Kadirkamanathan, V. Kadirkamanathan, 1996, Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop.

Service-oriented architecture on the Grid for integrated fault diagnostics: Research Articles

Visakan Kadirkamanathan, Peter J. Fleming, X. Ren, 2007 .

Bounded Dynamic Stochastic Systems: Modelling and Control, Hong Wang; Springer‐Verlag, London, U.K., 2000, 176 pages, ISBN 1‐85233‐187‐9.

Visakan Kadirkamanathan, 2001 .

Balanced reduction of an IDE-based spatio-temporal model

Visakan Kadirkamanathan, David B. Grayden, Kenneth Scerri, 2011 .

On steady state and dynamic performance of model reference control for a permanent magnet synchronous motor

Visakan Kadirkamanathan, Paul Stewart, 1998 .

Maximum-Likelihood Estimation of Delta-Domain Model Parameters From Noisy Output Signals

Sean R. Anderson, Visakan Kadirkamanathan, 2008, IEEE Transactions on Signal Processing.

Commutation of permanent-magnet synchronous AC motors for military and traction applications

Visakan Kadirkamanathan, Paul Stewart, 2003, IEEE Trans. Ind. Electron..

sParEGO - A Hybrid Optimization Algorithm for Expensive Uncertain Multi-objective Optimization Problems

Visakan Kadirkamanathan, Peter J. Fleming, Shaul Salomon, 2019, EMO.

Swarm Intelligence Based Routing Algorithm for Mobile Ad Hoc Networks

Visakan Kadirkamanathan, Kirusnapillai Selvarajah, 2006 .

Modelling Stem Cells Lineages with Markov Trees

Visakan Kadirkamanathan, Stephen A. Billings, Daniel Coca, 2009, PRIB.

Analysis of Neighborhood Behavior in Lead Optimization and Array Design

Visakan Kadirkamanathan, George Papadatos, Peter Willett, 2009, J. Chem. Inf. Model..

A Service Oriented Architecture for Integration of Fault Diagnostics

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 2004, SAG.

Statistical estimation of spatio-temporal systems

Visakan Kadirkamanathan, 2017, ICAC.

Decision support system on the grid

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 2005, Int. J. Knowl. Based Intell. Eng. Syst..

Spatiotemporal multi-resolution approximation of the Amari type neural field model

Visakan Kadirkamanathan, Viktor K. Jirsa, David B. Grayden, 2013, NeuroImage.

A Bayesian framework to estimate part quality and associated uncertainties in multistage manufacturing

Visakan Kadirkamanathan, Mahdi Mahfouf, Moschos Papananias, 2019, Comput. Ind..

A Bayesian framework for identifying cell migration dynamics

Sean R. Anderson, Visakan Kadirkamanathan, Stephen A. Renshaw, 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A DES approach for the contextual load modelling of supply chain system for instability analysis

Visakan Kadirkamanathan, Nordin Saad, V. Kadirkamanathan, 2006, Simul. Model. Pract. Theory.

Towards a Digital Twin with Generative Adversarial Network Modelling of Machining Vibration

Visakan Kadirkamanathan, Ashutosh Tiwari, Evgeny Zotov, 2020, EANN.

Multiple Model Dual Adaptive Control of Spatial Multimodal Systems

Visakan Kadirkamanathan, Simon G. Fabri, 2001 .

Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems

Visakan Kadirkamanathan, Ping Li, V. Kadirkamanathan, 2001, IEEE Trans. Syst. Man Cybern. Part C.

Multiple models for blind multiuser detection in MIMO DS/CDMA systems

Visakan Kadirkamanathan, Harini Kulatunga, M. H. Jawad, 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

Design of a pH control system using fuzzy non-uniform grid scheduling and evolutionary programming

Visakan Kadirkamanathan, Shane Regunath, 2001, Appl. Soft Comput..

Point process modelling of the Afghan War Diary

Visakan Kadirkamanathan, Guido Sanguinetti, Andrew Zammit-Mangion, 2012, Proceedings of the National Academy of Sciences.

Parametric polyspectrum density estimation using the bootstrap method

Visakan Kadirkamanathan, Shahnoor Shanta, V. Kadirkamanathan, 2007, Signal Process..

Self-adaptive evolutionary algorithm based methods for quantification in metabolic systems

Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright, 2004, 2004 Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

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

Visakan Kadirkamanathan, 2004, Artificial Intelligence Review.

Dynamic control of permanent magnet synchronous motors for automotive drive applications

Visakan Kadirkamanathan, Paul Stewart, 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

Monitoring of Aircraft Engines

Visakan Kadirkamanathan, Peter J. Fleming, P. Fleming, 2009 .

A stochastic method for neural-adaptive control of multi-modal nonlinear systems

Visakan Kadirkamanathan, Simon G. Fabri, 1998 .

Modeling and Prediction in Conflict: Afghanistan

Visakan Kadirkamanathan, Guido Sanguinetti, Michael Dewar, 2013 .

Modified variational Bayes EM estimation of hidden Markov tree model of cell lineages

Visakan Kadirkamanathan, Stephen A. Billings, Daniel Coca, 2009, Bioinform..

Design of a UDE Frequency Selective Filter to Reject Periodical Disturbances

Visakan Kadirkamanathan, Qing-Chang Zhong, George C. Konstantopoulos, 2017 .

A nonlinear model for time series prediction and signal interpolation

Visakan Kadirkamanathan, Mahesan Niranjan, M. Niranjan, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Particle filtering based multiple-model approach to fault diagnosis in nonlinear stochastic systems

Visakan Kadirkamanathan, Ping Li, V. Kadirkamanathan, 2001, 2001 European Control Conference (ECC).

Dynamic model reference control of a PMAC motor for automotive traction drives

Visakan Kadirkamanathan, Paul Stewart, 2000 .

Autonomously Learning Fault Detection System for Gas Turbine Engines

Visakan Kadirkamanathan, Haydn A. Thompson, V. C. Patel, 1997 .

Autonomous crowds tracking with box particle filtering and convolution particle filtering

Visakan Kadirkamanathan, Lyudmila Mihaylova, Donka S. Angelova, 2016, Autom..

Statistical Control of RBF-like Networks for Classification

Visakan Kadirkamanathan, Norbert Jankowski, V. Kadirkamanathan, 1997, ICANN.

A B-Spline Based Algorithm for Shape From Shading

Visakan Kadirkamanathan, Gu Junxiao, 1994, MVA.

Predictive control for non-linear systems using neural networks

Visakan Kadirkamanathan, Guo-Ping Liu, 1998 .

A Likelihood Ratio-Based Approach to Bleed Valve Event Detection in Gas Turbine Engines

Visakan Kadirkamanathan, Andrew R. Mills, Ping Li, 2018, 2018 UKACC 12th International Conference on Control (CONTROL).

Supervised-distributed control with joint performance and communication optimisation

Visakan Kadirkamanathan, Andrew R. Mills, Paul Trodden, 2020, Int. J. Control.

Power sharing of parallel operated DC-DC converters using current-limiting droop control

Visakan Kadirkamanathan, George C. Konstantopoulos, A.-C. Braitor, 2017, 2017 25th Mediterranean Conference on Control and Automation (MED).

Optimisation of maintenance scheduling strategies on the grid

Visakan Kadirkamanathan, Peter J. Fleming, Alex Shenfield, 2010, 2007 IEEE Symposium on Computational Intelligence in Scheduling.

UDE-Based Controller Equipped with a Multi-Band-Stop Filter to Improve the Voltage Quality of Inverters

Alon Kuperman, Visakan Kadirkamanathan, Qing-Chang Zhong, 2017, IEEE Transactions on Industrial Electronics.

A bootstrap-based approach for parameter and polyspectral density estimation of a non-minimum phase ARMA process

Visakan Kadirkamanathan, Shahnoor Shanta, V. Kadirkamanathan, 2015, Int. J. Syst. Sci..

Dynamic model reference PI control of permanent magnet AC motor drives

Visakan Kadirkamanathan, Paul Stewart, 2001 .

A Function Estimation Approach to Sequential Learning with Neural Networks

Visakan Kadirkamanathan, Mahesan Niranjan, M. Niranjan, 1993, Neural Computation.

Admittance matrix computation and stability analysis of droop controlled DC micro-grids with CPL

Visakan Kadirkamanathan, George C. Konstantopoulos, A.-C. Braitor, 2020, IFAC-PapersOnLine.

Multiple Model Approaches

Visakan Kadirkamanathan, Simon G. Fabri, 2001 .

Gaussian Process Latent Variable Models for Fault Detection

Neil D. Lawrence, Visakan Kadirkamanathan, Peter J. Fleming, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

Metabolic Flux Estimation from Incomplete Labelling Measurements Using the Expectation/Conditional-Maximisation Algorithm

Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright, 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

System Identification From Multiple Short-Time-Duration Signals

Sean R. Anderson, Visakan Kadirkamanathan, John Porrill, 2007, IEEE Transactions on Biomedical Engineering.

FDI IN NONLINEAR STOCHASTIC SYSTEMS USING ADAPTIVE MONTE CARLO FILTERS AND LIKELIHOOD RATIO APPROACH

Visakan Kadirkamanathan, Ping Li, V. Kadirkamanathan, 2002 .

Spatiotemporal System Identification With Continuous Spatial Maps and Sparse Estimation

Sean R. Anderson, Visakan Kadirkamanathan, Parham Aram, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Estimating patient-specific mortality after joint replacement: algorithm development and validation using national audit datasets

Visakan Kadirkamanathan, Parham Aram, Lea Trela-Larsen, 2019, Osteoarthritis and Cartilage.

MED 2017 Plenary lectures and tutorial: Modelling, estimation and identification of spatio-temporal and multiscale systems

Visakan Kadirkamanathan, 2017, 2017 25th Mediterranean Conference on Control and Automation (MED).

Conflict Data Sets and Point Patterns

Visakan Kadirkamanathan, Michael Dewar, Guido Sanguinetti, 2013 .

A novel self-learning fault detection system for gas turbine engines

Visakan Kadirkamanathan, Haydn A. Thompson, V. C. Patel, 1996 .

Adaptive joint detection and estimation in MIMO systems: a hybrid systems approach

Visakan Kadirkamanathan, Harini Kulatunga, V. Kadirkamanathan, 2006, IEEE Transactions on Signal Processing.

Estimation and Identification of Spatio-Temporal Models with Applications in Engineering, Healthcare and Social Science

Visakan Kadirkamanathan, Julian Mercieca, V. Kadirkamanathan, 2016, Annu. Rev. Control..

Proceedings of the 4th IAPR International Conference on Pattern Recognition in Bioinformatics

Visakan Kadirkamanathan, Guido Sanguinetti, Mark Girolami, 2009 .

STATISTICAL CONTROL OF GROWING AND PRUNING IN RBF-LIKE NEURAL NETWORKS

Visakan Kadirkamanathan, Norbert Jankowski, V. Kadirkamanathan, 1997 .

A Temporal-to-Spatial Neural Network for Classification of Hand Movements from Electromyography Data pdf

Sean R. Anderson, Visakan Kadirkamanathan, Adam Hartwell, 2020, ArXiv.

Analysis of composite plate dynamics using spatial maps of frequency-domain features described by Gaussian processes

Sean R. Anderson, Visakan Kadirkamanathan, Bishakh Bhattacharya, 2014 .

Dynamic Structure Networks for Stable Adaptive Control

Visakan Kadirkamanathan, Simon G. Fabri, 2001 .

Predictive control of fast-sampled systems using the delta-operator

Sean R. Anderson, Visakan Kadirkamanathan, C. Halauca, 2009, Int. J. Syst. Sci..

Adaptive Planning of Staffing Levels in Health Care Organisations

Visakan Kadirkamanathan, William J. Knottenbelt, Harini Kulatunga, 2009, eHealth.

Service‐oriented architecture on the Grid for integrated fault diagnostics

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 2007, Concurr. Comput. Pract. Exp..

A data-driven approach for predicting printability in metal additive manufacturing processes

Visakan Kadirkamanathan, George Panoutsos, Mordechai Katzman, 2020, J. Intell. Manuf..

Adaptive multiuser detection for frequency selective channel using IMM

Visakan Kadirkamanathan, Mohamed H. Jaward, V. Kadirkamanathan, 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

Markov Chain Monte Carlo Algorithm based metabolic flux distribution analysis on Corynebacterium glutamicum

Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright, 2006, Bioinform..

Modeling Conflict Dynamics with Spatio-temporal Data

Visakan Kadirkamanathan, Guido Sanguinetti, Michael Dewar, 2013, Springer Briefs in Applied Sciences and Technology.

Fault detection, isolation and diagnosis with particle filters for nonlinear stochastic systems

Visakan Kadirkamanathan, Ping Li, V. Kadirkamanathan, 2003 .

Sequential Monte Carlo filtering vs. the IMM estimator for fault detection and isolation in nonlinear systems

Thiagalingam Kirubarajan, Visakan Kadirkamanathan, Ping Li, 2001, SPIE Defense + Commercial Sensing.

Cascaded control to shape output virtual impedance and improve output voltage quality for power inverter

Visakan Kadirkamanathan, Qing-Chang Zhong, Shlomo Gadelovits, 2016, 2016 IEEE 7th International Symposium on Power Electronics for Distributed Generation Systems (PEDG).

Composite Adaptive Control of Continuous-Time Systems

Visakan Kadirkamanathan, Simon G. Fabri, 2001 .

Grid-based decision support with pro-active mobile computing

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 2005, 2005 IEEE International Conference on Services Computing (SCC'05) Vol-1.

Dynamic structure neural networks for stable adaptive control of nonlinear systems

Visakan Kadirkamanathan, Simon G. Fabri, 1996, IEEE Trans. Neural Networks.

Multiple RBF networks for on-line identification of nonlinear systems

Visakan Kadirkamanathan, C.P.C. Chan, K. S. Cheong, 1995 .

Computational system identification for Bayesian NARMAX modelling

Sean R. Anderson, Visakan Kadirkamanathan, Tara Baldacchino, 2013, Autom..

Customer-oriented architecture refinement in multi-criteria synthesis of large-scale system architectures

Visakan Kadirkamanathan, Tony J. Dodd, Andrew R. Mills, 2017, 2017 IEEE International Systems Engineering Symposium (ISSE).

Estimation and Model Selection for an IDE-Based Spatio-Temporal Model

Visakan Kadirkamanathan, Kenneth Scerri, Michael Dewar, 2009, IEEE Transactions on Signal Processing.

Nonlinear adaptive filtering in nonstationary environments

Visakan Kadirkamanathan, Mahesan Niranjan, 1991, [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing.

Applications of Signal Processing in Engineering, Life and Social Sciences

Visakan Kadirkamanathan, 2015 .

A Canonical Space-Time State Space Model: State and Parameter Estimation

Visakan Kadirkamanathan, Michael Dewar, V. Kadirkamanathan, 2007, IEEE Transactions on Signal Processing.

Optimisation of Maintenance Scheduling Strategies on the Grid

Visakan Kadirkamanathan, Peter J. Fleming, Alex Shenfield, 2007, CISched.

Neural network-based variable structure control for nonlinear discrete systems

Guoping Liu, Visakan Kadirkamanathan, Stephen A. Billings, 1999, Int. J. Syst. Sci..

Multi-objective optimization of operational variables in a waste incineration plant

Sean R. Anderson, Visakan Kadirkamanathan, Andrew J. Chipperfield, 2005, Comput. Chem. Eng..

Stability analysis and nonlinear current‐limiting control design for DC micro‐grids with CPLs

Visakan Kadirkamanathan, George C. Konstantopoulos, Andrei-Constantin Braitor, 2020, IET Smart Grid.

Using feedback control to actively regulate the healing rate of a self-healing process subjected to low cycle dynamic stress

Visakan Kadirkamanathan, Bishakh Bhattacharya, S. A. Pope, 2016 .

Interacting multiple models for single-user channel estimation and equalization

Visakan Kadirkamanathan, Mohamed H. Jaward, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Sensitivity analysis–based sepsis prognosis using artificial intelligence

Visakan Kadirkamanathan, Karl Heinz Kienitz, José Lucas de Alencar Saraiva, 2020 .

Particle filtering-based fault detection in non-linear stochastic systems

Visakan Kadirkamanathan, Ping Li, Simon G. Fabri, 2002, Int. J. Syst. Sci..

On-line identification of nonlinear systems using volterra polynomial basis function neural networks

Guoping Liu, Visakan Kadirkamanathan, Stephen A. Billings, 1997, 1997 European Control Conference (ECC).

A statistical inference based growth criterion for the RBF network

Visakan Kadirkamanathan, 1994, Proceedings of IEEE Workshop on Neural Networks for Signal Processing.

Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster

Visakan Kadirkamanathan, Guido Sanguinetti, Manfred Opper, 2009, BMC Systems Biology.

An Intelligent Metrology Informatics System based on Neural Networks for Multistage Manufacturing Processes

Visakan Kadirkamanathan, Mahdi Mahfouf, Moschos Papananias, 2019, Procedia CIRP.

Current-Limiting Droop Control Design of Paralleled AC/DC and DC/DC Converters in DC Micro-Grids

Visakan Kadirkamanathan, Pablo R. Baldivieso Monasterios, George C. Konstantopoulos, 2018, IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society.

Development of a New Machine Learning-based Informatics System for Product Health Monitoring

Visakan Kadirkamanathan, Mahdi Mahfouf, Olusayo Obajemu, 2020 .

Pattern Recognition in Bioinformatics, 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009. Proceedings

Visakan Kadirkamanathan, 2009, PRIB.

Uncertainty and Disturbance Estimator-Based Controller Equipped With a Time-Delayed Filter to Improve the Voltage Quality of Inverters

Alon Kuperman, Visakan Kadirkamanathan, Qing-Chang Zhong, 2019, IEEE Transactions on Industrial Electronics.

Interacting multiple model for adaptive narrowband interference rejection in spread spectrum systems

Visakan Kadirkamanathan, Mohamed H. Jaward, V. Kadirkamanathan, 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

Recursive Estimation of Dynamic Modular RBF Networks

Visakan Kadirkamanathan, Maha Kadirkamanathan, V. Kadirkamanathan, 1995, NIPS.

A data-driven framework for identifying nonlinear dynamic models of genetic parts.

Visakan Kadirkamanathan, Stephen A Billings, Sean R Anderson, 2012, ACS synthetic biology.

Person-specific gesture set selection for optimised movement classification from EMG signals

Sean R. Anderson, Visakan Kadirkamanathan, Adam Hartwell, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

The study of fault diagnosis in rotating machinery

Visakan Kadirkamanathan, Nor Azlan Othman, Nor Salwa Damanhuri, 2009, 2009 5th International Colloquium on Signal Processing & Its Applications.

In vivo Intracellular Metabolite Dynamics Estimation by Sequential Monte Carlo Filter

Visakan Kadirkamanathan, Stephen A. Billings, Jing Yang, 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Current-Limiting Droop Control Design and Stability Analysis for Paralleled Boost Converters in DC Microgrids

Visakan Kadirkamanathan, George C. Konstantopoulos, A.-C. Braitor, 2020, IEEE Transactions on Control Systems Technology.

Integrated fault diagnostics on the grid

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 2004, Proceedings. Ninth IEEE International Conference on Engineering of Complex Computer Systems.

Functional Adaptive Control

Visakan Kadirkamanathan, Simon G. Fabri, 2001 .

JointCalc: A web-based personalised patient decision support tool for joint replacement

Visakan Kadirkamanathan, Parham Aram, J. Mark Wilkinson, 2020, Int. J. Medical Informatics.

Dual Adaptive Control of Nonlinear Systems

Visakan Kadirkamanathan, Simon G. Fabri, 2001 .

Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals

Sean R. Anderson, Visakan Kadirkamanathan, Adam Hartwell, 2018, 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob).

On Gas Turbine Engine and Control System Condition Monitoring

Visakan Kadirkamanathan, G. G. Kulikov, Timofei Breikin, 1997 .

System identification of the fermentation system of Thermoanaerobacter sp. X514

Visakan Kadirkamanathan, Jing Yang, Hua-Liang Wei, 2012, 2012 IEEE 6th International Conference on Systems Biology (ISB).

A Rao-Blackwellised particle filter-based likelihood ratio approach to fault diagnosis for linear stochastic systems

Ian Postlethwaite, Ping Li, Visakan Kadirkamanathan, 2009, 2009 European Control Conference (ECC).

Utilising a Simulink Gas Turbine Engine Model for Fault Diagnosis

Visakan Kadirkamanathan, Peter J. Fleming, Haydn A. Thompson, 1995 .

Position estimation for the PMAC motor in automotive drive applications

Visakan Kadirkamanathan, Paul Stewart, 2000 .

System identification from small data sets using an output jittering method with application to model estimation of bioethanol production

Visakan Kadirkamanathan, Jing Yang, Hua-Liang Wei, 2012, 2012 International Conference on Machine Learning and Cybernetics.

Estimation of parameters in a linear state space model using a Rao-Blackwellised particle filter

Roger M. Goodall, Visakan Kadirkamanathan, Ping Li, 2004 .

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

Visakan Kadirkamanathan, Parham Aram, Seetharaman Vaidyanathan, 2015, Bioinform..

Model-based estimation of intra-cortical connectivity using electrophysiological data

Visakan Kadirkamanathan, David B. Grayden, Parham Aram, 2015, NeuroImage.

Variable neural networks for adaptive control of nonlinear systems

Guoping Liu, Visakan Kadirkamanathan, Stephen A. Billings, 1999, IEEE Trans. Syst. Man Cybern. Part C.

Editorial

Visakan Kadirkamanathan, Peter J. Fleming, Peter J. Fleming, 1936, Int. J. Syst. Sci..

A new Gaussian process-based approach for uncertainty propagation in surface metrology profile parameters estimation

Visakan Kadirkamanathan, Mahdi Mahfouf, Paul J. Scott, 2019 .

Time Series Forecasting Using Multiple Gaussian Process Prior Model

Visakan Kadirkamanathan, Tomohiro Hachino, V. Kadirkamanathan, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

Adaptive Control of Nonlinear Systems

Visakan Kadirkamanathan, Simon G. Fabri, 2001 .

Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation

Sean R. Anderson, Visakan Kadirkamanathan, Stephen A. Billings, 2016, Int. J. Syst. Sci..

Fault diagnosis in rotating machinery using pattern recognition technique / Nor Azlan Othman, Nor Salwa Damanhuri and Visakan Kadirkamanathan

Visakan Kadirkamanathan, Nor Azlan Othman, Nor Salwa Damanhuri, 2009 .

Multiple model adaptive estimation for multiuser detection in CDMA communication

Visakan Kadirkamanathan, Simon G. Fabri, M. H. Jaward, 2001 .

Sequential Adaptation of Radial Basis Function Neural Networks and its Application to Time-series Prediction

Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside, 1990, NIPS 1990.

Structure detection and parameter estimation for NARX models in a unified EM framework

Sean R. Anderson, Visakan Kadirkamanathan, Tara Baldacchino, 2012, Autom..

Sequential Adaptation of Radial Basis Function Networks

Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside, 1990, NIPS.

Fault detection and isolation in non-linear stochastic systems—A combined adaptive Monte Carlo filtering and likelihood ratio approach

Visakan Kadirkamanathan, Ping Li *, V. Kadirkamanathan, 2004 .

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

Visakan Kadirkamanathan, George Papadatos, Peter Willett, 2010, J. Chem. Inf. Model..

Stability analysis of the particle dynamics in particle swarm optimizer

Visakan Kadirkamanathan, Peter J. Fleming, Kirusnapillai Selvarajah, 2006, IEEE Transactions on Evolutionary Computation.

Sensing for aerospace combustor health monitoring

Visakan Kadirkamanathan, Andrew R. Mills, V. Kadirkamanathan, 2020, Aircraft Engineering and Aerospace Technology.

Uncertainty and Disturbance Estimator Based Controller Equipped With a Multiple-Time-Delayed Filter to Improve the Voltage Quality of Inverters

Alon Kuperman, Visakan Kadirkamanathan, Qing-Chang Zhong, 2019, IEEE Transactions on Industrial Electronics.

Data-Driven Spatio-Temporal Modeling Using the Integro-Difference Equation

Visakan Kadirkamanathan, Kenneth Scerri, Michael Dewar, 2009, IEEE Transactions on Signal Processing.

Impedance shaping for parallel operation of inverters in islanded AC microgrids

Alon Kuperman, Visakan Kadirkamanathan, Qing-Chang Zhong, 2015, 2015 IEEE 6th International Symposium on Power Electronics for Distributed Generation Systems (PEDG).

Nonlinear adaptive control using gaussian networks with composite adaptation for improved convergence

Visakan Kadirkamanathan, Simon G. Fabri, 1996 .

Optimized synthesis of cost-effective, controllable oil system architectures for turbofan engines

Visakan Kadirkamanathan, Andrew R. Mills, Bryn Ll. Jones, 2018, Syst. Eng..

A new method to monitor bone geometry changes at different spatial scales in the longitudinal in vivo μCT studies of mice bones

Visakan Kadirkamanathan, Marco Viceconti, Enrico Dall'Ara, 2019, PloS one.

Cross-entropy based pruning of the hierarchical mixtures of experts

Visakan Kadirkamanathan, C. C. Whitworth, V. Kadirkamanathan, 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.

New insights for applications of Kreisselmeier's structure in robust and fault tolerant control

Visakan Kadirkamanathan, Karl Heinz Kienitz, 2017, 2017 IEEE Aerospace Conference.

Modeling of Supply Chain Contextual-Load Model for Instability Analysis

Visakan Kadirkamanathan, Nordin Saad, Stuart Bennett, 2008 .

Variational Estimation in Spatiotemporal Systems From Continuous and Point-Process Observations

Visakan Kadirkamanathan, Guido Sanguinetti, Andrew Zammit Mangion, 2012, IEEE Transactions on Signal Processing.

Models of dynamic complexity for time-series prediction (neural networks)

Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Source-Side Series-Virtual-Impedance Control to Improve the Cascaded System Stability and the Dynamic Performance of Its Source Converter

Visakan Kadirkamanathan, Jingjing Huang, Qing-Chang Zhong, 2019, IEEE Transactions on Power Electronics.

A Spatiotemporal Estimation Framework for Real-World LIDAR Wind Speed Measurements

Visakan Kadirkamanathan, Julian Mercieca, Parham Aram, 2020, IEEE Transactions on Control Systems Technology.

Gas Turbine Engine Condition Monitoring Using Gaussian Mixture and Hidden Markov Models

Visakan Kadirkamanathan, William R. Jacobs, Ping Li, 2020, International Journal of Prognostics and Health Management.

Static and dynamical systems approach to engine condition monitoring

Visakan Kadirkamanathan, V. C. Patel, V. Kadirkamanathan, 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).

Dual adaptive control of nonlinear stochastic systems using neural networks

Visakan Kadirkamanathan, Simon G. Fabri, S. Fabri, 1998, Autom..

Spatio-temporal dynamic modelling of smart structures using a robust expectation?maximization algorithm

Visakan Kadirkamanathan, Phisut Apichayakul, 2011 .

Simultaneous and Sequential Control Design for Discrete-Time Switched Linear Systems Using Semi-Definite Programming

Visakan Kadirkamanathan, Paul A. Trodden, Andrew R. Mills, 2021, IEEE Control Systems Letters.

IJSS Editorial

Visakan Kadirkamanathan, Peter J. Fleming, 2005, Int. J. Syst. Sci..

Unscented Rauch-Tung-Striebel smoothing for nonlinear descriptor systems

Visakan Kadirkamanathan, Julian Mercieca, Parham Aram, 2015, 2015 European Control Conference (ECC).

Differential Evolution and Its Application to Metabolic Flux Analysis

Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright, 2005, EvoWorkshops.

Identification of Two-Time Scaled Systems Using Prefilters

Visakan Kadirkamanathan, Karl Heinz Kienitz, Anderson L. O. Cavalcanti, 2018, J. Control. Sci. Eng..

Energy Efficient Sink Node Placement in Sensor Networks Using Particle Swarm Optimization

Visakan Kadirkamanathan, Kirusnapillai Selvarajah, 2006, ANTS Workshop.

Model Reference PI Control of a Multivariable System with Saturation - A Case Study

Visakan Kadirkamanathan, Paul Stewart, 2000 .

Reinforcement learning for condition-based control of gas turbine engines

Visakan Kadirkamanathan, Tony Dodd, Paul Trodden, 2019, 2019 18th European Control Conference (ECC).

DISCRETE-TIME ADAPTIVE SLIDING MODE CONTROL OF NONLINEAR SYSTEMS USING NEURAL NETWORKS

Visakan Kadirkamanathan, Simon G. Fabri, 1999 .

Multiple Model Dual Adaptive Control of Jump Nonlinear Systems

Visakan Kadirkamanathan, Simon G. Fabri, 2001 .

Online Variational Inference for State-Space Models with Point-Process Observations

Visakan Kadirkamanathan, Guido Sanguinetti, Mahesan Niranjan, 2011, Neural Computation.

Functional Adaptive Control: An Intelligent Systems Approach

Visakan Kadirkamanathan, Simon G. Fabri, S. Fabri, 2012 .

Inspection by exception: A new machine learning-based approach for multistage manufacturing

Visakan Kadirkamanathan, Mahdi Mahfouf, Olusayo Obajemu, 2020, Appl. Soft Comput..

Metabolic Flux Estimation-A Self-Adaptive Evolutionary Algorithm with Singular Value Decomposition

Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright, 2007, IEEE ACM Trans. Comput. Biol. Bioinform..

Inter-engine variation analysis for health monitoring of aerospace gas turbine engines

Visakan Kadirkamanathan, William R. Jacobs, Andrew R. Mills, 2018 .

Estimation of Hidden Chemoattractant Field from Observed Cell Migration Patterns

Visakan Kadirkamanathan, Stephen A. Renshaw, Anastasia Kadochnikova, 2018 .

Weak Interactions Based System Partitioning Using Integer Linear Programming pdf

Visakan Kadirkamanathan, Paul A. Trodden, Andrew R. Mills, 2017, ArXiv.

Risk Mining for Strategic Decision Making

Visakan Kadirkamanathan, Peter J. Fleming, G. M. Allan, 2007, AWIC.

Multiple$H^infty$Filter-Based Deterministic Sequence Estimation in Non-Gaussian Channels

Visakan Kadirkamanathan, Harini Kulatunga, V. Kadirkamanathan, 2006, IEEE Signal Processing Letters.

Nonlinear system identification using wavelet networks

Guoping Liu, Visakan Kadirkamanathan, Stephen A. Billings, 2000, Int. J. Syst. Sci..

A temporal-to-spatial deep convolutional neural network for classification of hand movements from multichannel electromyography data.

Sean R. Anderson, Visakan Kadirkamanathan, Adam Hartwell, 2020 .

Nonlinear predictive control via neural networks

Visakan Kadirkamanathan, Steve A. Billings, Guo-Ping Liu, 1996 .

Gas turbine engine condition monitoring using statistical and neural network methods

Visakan Kadirkamanathan, G. G. Kulikov, V. C. Patel, 1996 .

Parameter estimation of railway vehicle dynamic model using rao-blackwellised particle filter

Visakan Kadirkamanathan, Ping Li, Roger Goodall, 2003, 2003 European Control Conference (ECC).

Metaparametric Neural Networks for Survival Analysis

Visakan Kadirkamanathan, J. Mark Wilkinson, Fabio Luis de Mello, 2021, IEEE Transactions on Neural Networks and Learning Systems.

50 Years of international journal of systems science: a review of the past and trends for the future

Zeshui Xu, Visakan Kadirkamanathan, Xinxin Wang, 2020, Int. J. Syst. Sci..

Simultaneous and Sequential Control Design for Discrete-Time Switched Linear Systems Using Semi-Definite Programming

Visakan Kadirkamanathan, Paul A. Trodden, Andrew R. Mills, 2021, 2021 American Control Conference (ACC).

A perturbation signal based data-driven Gaussian process regression model for in-process part quality prediction in robotic countersinking operations

Visakan Kadirkamanathan, Mateo Leco, V. Kadirkamanathan, 2021, Robotics Comput. Integr. Manuf..

Conditional StyleGAN modelling and analysis for a machining digital twin

Visakan Kadirkamanathan, Evgeny Zotov, Ashutosh Tiwari, 2021, Integr. Comput. Aided Eng..

Enhanced Primary Droop Controller for Meshed DC Micro-Grids with Overvoltage Protection

Visakan Kadirkamanathan, George C. Konstantopoulos, Andrei-Constantin Braitor, 2021, 2021 29th Mediterranean Conference on Control and Automation (MED).

In-flight Novelty Detection with Convolutional Neural Networks pdf

Visakan Kadirkamanathan, Andrew R Mills, Adam Hartwell, 2021, ArXiv.

CycleStyleGAN-Based Knowledge Transfer for a Machining Digital Twin

Visakan Kadirkamanathan, Evgeny Zotov, V. Kadirkamanathan, 2021, Frontiers in Artificial Intelligence.

Stable sequential identification of continuous nonlinear dynamical systems by growing radial basis function networks

Visakan Kadirkamanathan, Steve A. Billings, Guo-Ping Liu, 1996 .

Multiobjective criteria for neural network structure selection and identification of nonlinear systems using genetic algorithms

Visakan Kadirkamanathan, Guo-Ping Liu, V. Kadirkamanathan, 1999 .

Robust Identification with Neural Networks Using Multiobjective Criteria

Visakan Kadirkamanathan, Guo-Ping Liu, V. Kadirkamanathan, 1995 .

Multiple Gaussian process models for direct time series forecasting

Visakan Kadirkamanathan, Tomohiro Hachino, V. Kadirkamanathan, 2011 .

Recursive nonlinear identification using multiple model algorithm

Visakan Kadirkamanathan, V. Kadirkamanathan, 1995, Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing.

Inferring the variation of climatic and glaciological contributions to West Greenland iceberg discharge in the twentieth century

Visakan Kadirkamanathan, Steve A. Billings, Yifan Zhao, 2016 .

A Self-Organized Multiple Model Approach for Neural-Adaptive Control of Jump Nonlinear Systems

Visakan Kadirkamanathan, Simon G. Fabri, S. Fabri, 1998 .

The Neutrophil's Eye-View: Inference and Visualisation of the Chemoattractant Field Driving Cell Chemotaxis In Vivo

Sean R. Anderson, Visakan Kadirkamanathan, Stephen A. Billings, 2012, PloS one.

Stability Analysis of the Particle Dynamics in

Visakan Kadirkamanathan, Peter J. Fleming, Kirusnapillai Selvarajah, 2006 .

BAYESIAN INFERENCE FOR BASIS FUNCTION SELECTION IN NONLINEAR SYSTEM IDENTIFICATION USING GENETIC ALGORITHMS

Visakan Kadirkamanathan, V. Kadirkamanathan, 1996 .

Nonlinear system identification using wavelet networks

Visakan Kadirkamanathan, Stephen A. Billings, Guo-Ping Liu, 1998, Int. J. Syst. Sci..

Adaptive gain scheduling with modular models

Visakan Kadirkamanathan, Simon G. Fabri, 1998 .

Nonlinear identification via variable wavelet networks

Visakan Kadirkamanathan, Guo-Ping Liu, Stephen A. Billings, 1999 .

Modelling Conflict Dynamics with Spatiotemporal Data

Visakan Kadirkamanathan, Guido Sanguinetti, Andrew Zammit-Mangion, 2013 .

On-line identification of nonlinear systems using volterra polynomial basis function neural networks

Visakan Kadirkamanathan, Stephen A. Billings, Guo-Ping Liu, 1997 .

Recursive structure estimation for nonlinear identification with modular networks

Visakan Kadirkamanathan, Simon G. Fabri, 1998, Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378).

Hitler: Diagnosis of a Destructive Prophet

Visakan Kadirkamanathan, V. Kadirkamanathan, 1999 .

Sepsis Patient Outcome Prediction Using Machine Learning

Visakan Kadirkamanathan, Karl Heinz Kienitz, Marcus Henrique Victor Júnior, 2019, XXVI Brazilian Congress on Biomedical Engineering.

Repelled from the wound, or randomly dispersed? Reverse migration behaviour of neutrophils characterized by dynamic modelling

Sean R. Anderson, Visakan Kadirkamanathan, Stephen A. Billings, 2012, Journal of The Royal Society Interface.

Drift-Diffusion Analysis of Neutrophil Migration during Inflammation Resolution in a Zebrafish Model

Sean R. Anderson, Visakan Kadirkamanathan, Stephen A. Billings, 2012, Advances in hematology.

Analysis of immune cell function using in vivo cell shape analysis and tracking

Visakan Kadirkamanathan, Stephen A. Billings, Constantino Carlos Reyes-Aldasoro, 2009 .