James S. Welsh

According to our database1, James S. Welsh authored at least 60 papers between 2001 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Objective quantification of nerves in immunohistochemistry specimens of thyroid cancer utilising deep learning.
PLoS Comput. Biol., 2022

Consistency analysis and bias elimination of the Instrumental-Variable-based State Variable Filter method.
Autom., 2022

Corrigendum to "Consistency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems" [Automatica 113 (2020) 108767].
Autom., 2022

Theoretical and practical aspects of the convergence of the SRIVC estimator for over-parameterized models.
Autom., 2022

2021
Consistency Analysis of the Closed-loop SRIVC Estimator.
CoRR, 2021

Consistent identification of continuous-time systems under multisine input signal excitation.
Autom., 2021

Evaluation of controller autotuning in a wind energy conversion system.
Proceedings of the 2021 IEEE PES Innovative Smart Grid Technologies, 2021

The SRIVC algorithm for continuous-time system identification with arbitrary input excitation in open and closed loop.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Continuous-time System Identification of a Flexible Cantilever Beam.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021

2020
Continuous-Time Model Identification From Filtered Sampled Data: Error Analysis.
IEEE Trans. Autom. Control., 2020

Efficiency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems.
Autom., 2020

Consistency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems.
Autom., 2020

2019
Gaussian process regression for the estimation of generalized frequency response functions.
Autom., 2019

Frequency domain response under arbitrary excitation for fading memory nonlinear systems.
Autom., 2019

Improved Nonlinear Model Predictive Control with Volterra-Laguerre Models.
Proceedings of the 2019 American Control Conference, 2019

2018
A Frequency Localizing Basis Function-Based IV Method for Wideband System Identification.
IEEE Trans. Control. Syst. Technol., 2018

An analysis of the SPARSEVA estimate for the finite sample data case.
Autom., 2018

Useful redundancy in parameter and time delay estimation for continuous-time models.
Autom., 2018

Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Data-Driven Modeling of a Coupled Electric Drives System Using Regularized Basis Function Volterra Kernels.
Proceedings of the Intelligent Robotics and Applications - 11th International Conference, 2018

An asymptotically optimal indirect approach to continuous-time system identification.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Adjacent Network for Semantic Segmentation of Liver CT Scans.
Proceedings of the 18th IEEE International Conference on Bioinformatics and Bioengineering, 2018

2017
EM-Based Hyperparameter Optimization for Regularized Volterra Kernel Estimation.
IEEE Control. Syst. Lett., 2017

2016
Parameter and delay estimation of continuous-time models utilizing multiple filtering.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Using indirect inference to identify models of vestibular nerve response in an isolated inner ear.
Proceedings of the Australian Control Conference, AuCC 2016, Newcastle, 2016

2015
Model order selection for continuous time instrumental variable methods using regularization.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Unscented Kalman Filter based finger tracking utilising magnetoresistive sensors.
Proceedings of the American Control Conference, 2015

2014
High-level numerical simulations of noise in CCD and CMOS photosensors: review and tutorial.
CoRR, 2014

Identification of wiener systems with process noise is a nonlinear errors-in-variables problem.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Ensuring stability in continuous time system identification instrumental variable method for over-parameterized models.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Particle filter based finger tracking utilising magnetoresistive sensors.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2014

2013
Necessary and sufficient convergence conditions of the instrumental variable method for identification.
Autom., 2013

Frequency-domain instrumental variable based method for wide band system identification.
Proceedings of the American Control Conference, 2013

Compact human-machine interface using surface electromyography.
Proceedings of the 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2013

2012
Robustness in Experiment Design.
IEEE Trans. Autom. Control., 2012

Measuring impacts using Support Vector Machines on a standing humanoid robot.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Bias analysis of continuous-time model identification from filtered sample output data.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Emulation-Based Virtual Laboratories: A Low-Cost Alternative to Physical Experiments in Control Engineering Education.
IEEE Trans. Educ., 2011

The cost of complexity in system identification: The Output Error case.
Autom., 2011

Synaptic plasticity based model for epileptic seizures.
Autom., 2011

A NUPlatform for Software on Articulated Mobile Robots.
Proceedings of the Leveraging Applications of Formal Methods, Verification, and Validation, 2011

Using redundant fitness functions to improve optimisers for humanoid robot walking.
Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

Evaluation of walk optimisation techniques for the NAO robot.
Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

2010
The Cost of Complexity in System Identification: Frequency Function Estimation of Finite Impulse Response Systems.
IEEE Trans. Autom. Control., 2010

Frequency Analysis of Experimental Waveforms for DC Motors in Digging Applications.
Proceedings of the Annual Meeting of the IEEE Industry Applications Society, 2010

2009
Fundamental Limitations on the Variance of Estimated Parametric Models.
IEEE Trans. Autom. Control., 2009

Redundancy versus multiple starting points in nonlinear system related inverse problems.
Autom., 2009

2008
On the equivalence of least costly and traditional experiment design for control.
Autom., 2008

On useful redundancy in experiment design for nonlinear system identification.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Robust optimal experiment design for system identification.
Autom., 2007

A Receding Horizon Algorithm to Generate Binary Signals with a Prescribed Autocovariance.
Proceedings of the American Control Conference, 2007

On the Optimality of Binary-Open-Loop Experiments to Identify Hammerstein Systems.
Proceedings of the American Control Conference, 2007

2006
Evaluation and comparison of robust optimal experiment design criteria.
Proceedings of the American Control Conference, 2006

2004
A moving horizon approach to Networked Control system design.
IEEE Trans. Autom. Control., 2004

2003
Frequency localising basis functions for wide-band identification.
Proceedings of the 7th European Control Conference, 2003

Minimizing down-link traffic in networked control systems via optimal control techniques.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002
Finite sample properties of indirect nonparametric closed-loop identification.
IEEE Trans. Autom. Control., 2002

Bias issues in closed loop identification with application to adaptive control.
Commun. Inf. Syst., 2002

Self excited closed loop parametric estimation in the presence of noise undermodelling.
Proceedings of the American Control Conference, 2002

2001
Analysis of a self tuning iteration in the presence of noise undermodelling.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001


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