Visakan Kadirkamanathan
Orcid: 0000-0002-4243-2501Affiliations:
- University of Sheffield, Department of Automatic Control and Systems Engineering, UK
According to our database1,
Visakan Kadirkamanathan
authored at least 129 papers
between 1990 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on zbmath.org
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on orcid.org
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on id.loc.gov
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on d-nb.info
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Bibliography
2024
Interpretable Deep Learning for Nonlinear System Identification Using Frequency Response Functions With Ensemble Uncertainty Quantification.
IEEE Access, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
Estimation of potential field environments from heterogeneous behaviour of sensing agents.
IET Signal Process., January, 2023
Integrated Identification of the Nonlinear Autoregressive Models With Exogenous Inputs (NARX) for Engineering Systems Design.
IEEE Trans. Control. Syst. Technol., 2023
Control of Isolated AC Microgrids with Constant Power Loads: A Set Invariance Approach.
Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023
Proceedings of the International Symposium on Image and Signal Processing and Analysis, 2023
A distributed multi-disciplinary design optimization benchmark test suite with constraints and multiple conflicting objectives.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Proceedings of the Evolutionary Multi-Criterion Optimization, 2023
2022
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., 2022
Supervised-distributed control with joint performance and communication optimisation.
Int. J. Control, 2022
Stability analysis of DC micro-grids with CPLs under novel decentralized primary and distributed secondary control.
Autom., 2022
Toward scalable benchmark problems for multi-objective multidisciplinary optimization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
2021
Current-Limiting Droop Control Design and Stability Analysis for Paralleled Boost Converters in DC Microgrids.
IEEE Trans. Control. Syst. Technol., 2021
A perturbation signal based data-driven Gaussian process regression model for in-process part quality prediction in robotic countersinking operations.
Robotics Comput. Integr. Manuf., 2021
50 Years of international journal of systems science: a review of the past and trends for the future.
Int. J. Syst. Sci., 2021
Integr. Comput. Aided Eng., 2021
Frontiers Artif. Intell., 2021
Simultaneous and Sequential Control Design for Discrete-Time Switched Linear Systems Using Semi-Definite Programming.
IEEE Control. Syst. Lett., 2021
Enhanced Primary Droop Controller for Meshed DC Micro-Grids with Overvoltage Protection.
Proceedings of the 29th Mediterranean Conference on Control and Automation, 2021
2020
IEEE Trans. Control. Syst. Technol., 2020
A data-driven approach for predicting printability in metal additive manufacturing processes.
J. Intell. Manuf., 2020
JointCalc: A web-based personalised patient decision support tool for joint replacement.
Int. J. Medical Informatics, 2020
A Temporal-to-Spatial Neural Network for Classification of Hand Movements from Electromyography Data.
CoRR, 2020
Inspection by exception: A new machine learning-based approach for multistage manufacturing.
Appl. Soft Comput., 2020
Novel droop control design for overvoltage protection of DC microgrids with a constant power load.
Proceedings of the 28th Mediterranean Conference on Control and Automation, 2020
Towards a Digital Twin with Generative Adversarial Network Modelling of Machining Vibration.
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020
2019
Uncertainty and Disturbance Estimator-Based Controller Equipped With a Time-Delayed Filter to Improve the Voltage Quality of Inverters.
IEEE Trans. Ind. Electron., 2019
Uncertainty and Disturbance Estimator Based Controller Equipped With a Multiple-Time-Delayed Filter to Improve the Voltage Quality of Inverters.
IEEE Trans. Ind. Electron., 2019
A Bayesian framework to estimate part quality and associated uncertainties in multistage manufacturing.
Comput. Ind., 2019
Proceedings of the 17th European Control Conference, 2019
sParEGO - A Hybrid Optimization Algorithm for Expensive Uncertain Multi-objective Optimization Problems.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019
2018
Optimized synthesis of cost-effective, controllable oil system architectures for turbofan engines.
Syst. Eng., 2018
J. Control. Sci. Eng., 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. Ind. Electron., 2017
CoRR, 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
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. Syst. Sci., 2016
Autonomous crowds tracking with box particle filtering and convolution particle filtering.
Autom., 2016
Estimation and Identification of Spatio-Temporal Models with Applications in Engineering, Healthcare and Social Science.
Annu. Rev. 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 Networks Learn. 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. Syst. Sci., 2015
An efficient TOF-SIMS image analysis with spatial correlation and alternating non-negativity-constrained least squares.
Bioinform., 2015
Proceedings of the 14th European Control Conference, 2015
2013
NeuroImage, 2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
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 Process., 2012
Structure detection and parameter estimation for NARX models in a unified EM framework.
Autom., 2012
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
Neural Comput., 2011
2010
Lead Optimization Using Matched Molecular Pairs: Inclusion of Contextual Information for Enhanced Prediction of hERG Inhibition, Solubility, and Lipophilicity.
J. Chem. Inf. Model., 2010
An iterative Kalman smoother/least-squares algorithm for the identification of delta-ARX models.
Int. J. Syst. Sci., 2010
Parameter estimation and inference for stochastic reaction-diffusion systems: application to morphogenesis in D. melanogaster.
BMC Syst. Biol., 2010
2009
IEEE Trans. Signal Process., 2009
IEEE Trans. Signal Process., 2009
J. Chem. Inf. Model., 2009
Int. J. Syst. Sci., 2009
Modified variational Bayes EM estimation of hidden Markov tree model of cell lineages.
Bioinform., 2009
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 10th European Control Conference, 2009
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 Process., 2008
2007
IEEE Trans. Signal Process., 2007
Metabolic Flux Estimation-A Self-Adaptive Evolutionary Algorithm with Singular Value Decomposition.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007
IEEE Trans. Biomed. Eng., 2007
Signal Process., 2007
Concurr. Comput. Pract. Exp., 2007
Modelling and identification of non-linear deterministic systems in the delta-domain.
Autom., 2007
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007
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
Proceedings of the Advances in Intelligent Web Mastering, Proceedings of the 5th Atlantic Web Intelligence Conference - AWIC 2007, Fontainebleau, France, June 25, 2007
2006
IEEE Trans. Signal Process., 2006
IEEE Trans. Evol. Comput., 2006
Multiple H<sup>∞</sup> 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.
Simul. Model. Pract. Theory, 2006
Analysis of fast-sampled non-linear systems: Generalised frequency response functions for delta-operator models.
Signal Process., 2006
Markov Chain Monte Carlo Algorithm based metabolic flux distribution analysis on <i>Corynebacterium glutamicum</i>.
Bioinform., 2006
Energy Efficient Sink Node Placement in Sensor Networks Using Particle Swarm Optimization.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2006
2005
Comput. Chem. Eng., 2005
Proceedings of the Applications of Evolutionary Computing, 2005
Proceedings of the 2005 IEEE International Conference on Services Computing (SCC 2005), 2005
2004
Proceedings of the Scientific Applications of Grid Computing, First International Workshop, 2004
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004
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. Ind. Electron., 2003
Proceedings of the Global Telecommunications Conference, 2003
Parameter estimation of railway vehicle dynamic model using rao-blackwellised particle filter.
Proceedings of the 7th European Control Conference, 2003
2002
Int. J. Syst. Sci., 2002
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. Syst. Man Cybern. Part C, 2001
Design of a pH control system using fuzzy non-uniform grid scheduling and evolutionary programming.
Appl. Soft Comput., 2001
Proceedings of the IEEE International Conference on Acoustics, 2001
Particle filtering based multiple-model approach to fault diagnosis in nonlinear stochastic systems.
Proceedings of the 6th European Control Conference, 2001
2000
A sequential Monte Carlo filtering approach to fault detection and isolation in nonlinear systems.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000
Particle filters for recursive model selection in linear and nonlinear system identification.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000
1999
IEEE Trans. Syst. Man Cybern. Part C, 1999
Int. J. Syst. Sci., 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
Autom., 1998
1997
Proceedings of the Artificial Neural Networks, 1997
1996
IEEE Trans. Neural Networks, 1996
1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
1994
Proceedings of IAPR Workshop on Machine Vision Applications, 1994
1993
Neural Comput., 1993
1992
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992
1991
Proceedings of the 1991 International Conference on Acoustics, 1991
Proceedings of the 1991 International Conference on Acoustics, 1991
1990
Proceedings of the Advances in Neural Information Processing Systems 3, 1990