James S. Welsh

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 41

Top Topics

Nonlinear Systems

Frequency Domain

Gaussian Process

Statistical Analysis

Top Venues

IEEE Control. Syst. Lett.

Publications

Rodrigo A. González, Koen Classens, Cristian R. Rojas, James S. Welsh, Tom Oomen
Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-Time System Identification. IEEE Control. Syst. Lett. 8 (2024)
Rodrigo A. González, Koen Classens, Cristian R. Rojas, James S. Welsh, Tom Oomen
Identification of Additive Continuous-time Systems in Open and Closed-loop. CoRR (2024)
Rodrigo A. González, Koen Classens, Cristian R. Rojas, James S. Welsh, Tom Oomen
Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-time System Identification. CoRR (2024)
Rodrigo A. González, Siqi Pan, Cristian R. Rojas, James S. Welsh
Consistency analysis of refined instrumental variable methods for continuous-time system identification in closed-loop. CoRR (2024)
Rodrigo A. González, Siqi Pan, Cristian R. Rojas, James S. Welsh
Consistency analysis of refined instrumental variable methods for continuous-time system identification in closed-loop. Autom. 166 (2024)
Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh
Refined instrumental variable methods for unstable continuous-time systems in closed-loop. Int. J. Control 96 (10) (2023)
Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh
Parsimonious Identification of Continuous-Time Systems: A Block-Coordinate Descent Approach. CoRR (2023)
Augustus Elton, Rodrigo A. González, James S. Welsh, Cristian R. Rojas, Minyue Fu
Parametric Continuous-Time Blind System Identification. CDC (2023)
Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh
On the Relation between Discrete and Continuous-time Refined Instrumental Variable Methods. CoRR (2023)
Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh
On the Relation Between Discrete and Continuous-Time Refined Instrumental Variable Methods. IEEE Control. Syst. Lett. 7 (2023)
Morris Vysma, James S. Welsh, Derek R. Laver
Computationally Efficient Simulation of Calcium Signaling in Cardiomyocytes. IEEE Trans. Biomed. Eng. 70 (4) (2023)
Siqi Pan, James S. Welsh, Rodrigo A. González, Cristian R. Rojas
Consistency analysis and bias elimination of the Instrumental-Variable-based State Variable Filter method. Autom. 144 (2022)
Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh
Theoretical and practical aspects of the convergence of the SRIVC estimator for over-parameterized models. Autom. 142 (2022)
Indriani Puspitasari Astono, James S. Welsh, Christopher W. Rowe, Phillip Jobling
Objective quantification of nerves in immunohistochemistry specimens of thyroid cancer utilising deep learning. PLoS Comput. Biol. 18 (2) (2022)
Siqi Pan, Rodrigo A. González, James S. Welsh, Cristian R. Rojas
Corrigendum to "Consistency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems" [Automatica 113 (2020) 108767]. Autom. 136 (2022)
Augustus Elton, Phuong T. H. Nguyen, James S. Welsh
Evaluation of controller autotuning in a wind energy conversion system. ISGT Asia (2021)
Siqi Pan, James S. Welsh, Rodrigo A. González, Cristian R. Rojas
Consistency Analysis of the Closed-loop SRIVC Estimator. CoRR (2021)
Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh
The SRIVC algorithm for continuous-time system identification with arbitrary input excitation in open and closed loop. CDC (2021)
Siqi Pan, Quoc Chi Nguyen, Van Thuat Nguyen, James S. Welsh
Continuous-time System Identification of a Flexible Cantilever Beam. CCTA (2021)
Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh
Consistent identification of continuous-time systems under multisine input signal excitation. Autom. 133 (2021)
Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh
Consistent identification of continuous-time systems under multisine input signal excitation. CoRR (2020)
Siqi Pan, James S. Welsh, Rodrigo A. González, Cristian R. Rojas
Efficiency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems. Autom. 121 (2020)
Siqi Pan, James S. Welsh, Rodrigo A. González, Cristian R. Rojas
Efficiency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems. CoRR (2020)
Xiao-Li Hu, James S. Welsh
Continuous-Time Model Identification From Filtered Sampled Data: Error Analysis. IEEE Trans. Autom. Control. 65 (10) (2020)
Siqi Pan, Rodrigo A. González, James S. Welsh, Cristian R. Rojas
Consistency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems. Autom. 113 (2020)
Jeremy Stoddard, James S. Welsh
Improved Nonlinear Model Predictive Control with Volterra-Laguerre Models. ACC (2019)
Jeremy Stoddard, Georgios Birpoutsoukis, Johan Schoukens, James S. Welsh
Gaussian process regression for the estimation of generalized frequency response functions. Autom. 106 (2019)
Jeremy Stoddard, Georgios Birpoutsoukis, John Lataire, James S. Welsh
Frequency domain response under arbitrary excitation for fading memory nonlinear systems. Autom. 107 (2019)
Siqi Pan, Rodrigo A. González, James S. Welsh, Cristian R. Rojas
Consistency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems. CoRR (2019)
Fayeem Aziz, Aaron S. W. Wong, James S. Welsh, Stephan K. Chalup
Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise. CoRR (2018)
Marion Gilson, James S. Welsh, Hugues Garnier
A Frequency Localizing Basis Function-Based IV Method for Wideband System Identification. IEEE Trans. Control. Syst. Technol. 26 (1) (2018)
Rodrigo A. González, Cristian R. Rojas, James S. Welsh
An asymptotically optimal indirect approach to continuous-time system identification. CDC (2018)
Jeremy Stoddard, James S. Welsh
Data-Driven Modeling of a Coupled Electric Drives System Using Regularized Basis Function Volterra Kernels. ICIRA (1) (2018)
Indriani Puspitasari Astono, James S. Welsh, Stephan K. Chalup
Adjacent Network for Semantic Segmentation of Liver CT Scans. BIBE (2018)
Huong Ha, James S. Welsh, Mazen Alamir
Useful redundancy in parameter and time delay estimation for continuous-time models. Autom. 95 (2018)
Huong Ha, James S. Welsh, Cristian R. Rojas, Bo Wahlberg
An analysis of the SPARSEVA estimate for the finite sample data case. Autom. 96 (2018)
Fayeem Aziz, Aaron S. W. Wong, James S. Welsh, Stephan K. Chalup
Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise. ICONIP (7) (2018)
Rodrigo A. González, Cristian R. Rojas, James S. Welsh
An asymptotically optimal indirect approach to continuous-time system identification. CoRR (2018)
Jeremy Stoddard, James S. Welsh, Håkan Hjalmarsson
EM-Based Hyperparameter Optimization for Regularized Volterra Kernel Estimation. IEEE Control. Syst. Lett. 1 (2) (2017)
Huong Ha, James S. Welsh
Parameter and delay estimation of continuous-time models utilizing multiple filtering. CDC (2016)
Jeremy Stoddard, Robert van Eerdewijk, James S. Welsh, Aaron Camp, Alan M. Brichta
Using indirect inference to identify models of vestibular nerve response in an isolated inner ear. AuCC (2016)
Luke P. Simmons, James S. Welsh
Unscented Kalman Filter based finger tracking utilising magnetoresistive sensors. ACC (2015)
Huong Ha, James S. Welsh
Model order selection for continuous time instrumental variable methods using regularization. CDC (2015)
Luke P. Simmons, James S. Welsh
Particle filter based finger tracking utilising magnetoresistive sensors. AIM (2014)
Mikhail V. Konnik, James S. Welsh
High-level numerical simulations of noise in CCD and CMOS photosensors: review and tutorial. CoRR (2014)
Bo Wahlberg, James S. Welsh, Lennart Ljung
Identification of wiener systems with process noise is a nonlinear errors-in-variables problem. CDC (2014)
Huong Ha, James S. Welsh
Ensuring stability in continuous time system identification instrumental variable method for over-parameterized models. CDC (2014)
Xiao-Li Hu, James S. Welsh
Necessary and sufficient convergence conditions of the instrumental variable method for identification. Autom. 49 (9) (2013)
Marion Gilson, James S. Welsh, Hugues Garnier
Frequency-domain instrumental variable based method for wide band system identification. ACC (2013)
Luke P. Simmons, James S. Welsh
Compact human-machine interface using surface electromyography. AIM (2013)
Cristian R. Rojas, Juan C. Agüero, James S. Welsh, Graham C. Goodwin, Arie Feuer
Robustness in Experiment Design. IEEE Trans. Autom. Control. 57 (4) (2012)
Jason Kulk, James S. Welsh
Measuring impacts using Support Vector Machines on a standing humanoid robot. IJCNN (2012)
Xiao-Li Hu, James S. Welsh
Bias analysis of continuous-time model identification from filtered sample output data. CDC (2012)
Graham C. Goodwin, Adrian M. Medioli, Willy Sher, Ljubo B. Vlacic, James S. Welsh
Emulation-Based Virtual Laboratories: A Low-Cost Alternative to Physical Experiments in Control Engineering Education. IEEE Trans. Educ. 54 (1) (2011)
Jason Kulk, James S. Welsh
Using redundant fitness functions to improve optimisers for humanoid robot walking. Humanoids (2011)
Jason Kulk, James S. Welsh
Evaluation of walk optimisation techniques for the NAO robot. Humanoids (2011)
Jason Kulk, James S. Welsh
A NUPlatform for Software on Articulated Mobile Robots. ISoLA Workshops (2011)
Cristian R. Rojas, Märta Barenthin, James S. Welsh, Håkan Hjalmarsson
The cost of complexity in system identification: The Output Error case. Autom. 47 (9) (2011)
Mazen Alamir, James S. Welsh, Graham C. Goodwin
Synaptic plasticity based model for epileptic seizures. Autom. 47 (6) (2011)
Galina Mirzaeva, James S. Welsh, Terrence J. Summers, Robert Eric Betz
Frequency Analysis of Experimental Waveforms for DC Motors in Digging Applications. IAS (2010)
Cristian R. Rojas, Märta Barenthin, James S. Welsh, Håkan Hjalmarsson
The Cost of Complexity in System Identification: Frequency Function Estimation of Finite Impulse Response Systems. IEEE Trans. Autom. Control. 55 (10) (2010)
Mazen Alamir, James S. Welsh, Graham C. Goodwin
Redundancy versus multiple starting points in nonlinear system related inverse problems. Autom. 45 (4) (2009)
Cristian R. Rojas, James S. Welsh, Juan C. Agüero
Fundamental Limitations on the Variance of Estimated Parametric Models. IEEE Trans. Autom. Control. 54 (5) (2009)
Cristian R. Rojas, Juan C. Agüero, James S. Welsh, Graham C. Goodwin
On the equivalence of least costly and traditional experiment design for control. Autom. 44 (11) (2008)
Mazen Alamir, James S. Welsh, Graham C. Goodwin
On useful redundancy in experiment design for nonlinear system identification. CDC (2008)
Cristian R. Rojas, James S. Welsh, Graham C. Goodwin, Arie Feuer
Robust optimal experiment design for system identification. Autom. 43 (6) (2007)
Juan C. Agüero, James S. Welsh, Osvaldo J. Rojas
On the Optimality of Binary-Open-Loop Experiments to Identify Hammerstein Systems. ACC (2007)
Cristian R. Rojas, James S. Welsh, Graham C. Goodwin
A Receding Horizon Algorithm to Generate Binary Signals with a Prescribed Autocovariance. ACC (2007)
James S. Welsh, Graham C. Goodwin, Arie Feuer
Evaluation and comparison of robust optimal experiment design criteria. ACC (2006)
Graham C. Goodwin, Hernan Haimovich, Daniel E. Quevedo, James S. Welsh
A moving horizon approach to Networked Control system design. IEEE Trans. Autom. Control. 49 (9) (2004)
Daniel E. Quevedo, Graham C. Goodwin, James S. Welsh
Minimizing down-link traffic in networked control systems via optimal control techniques. CDC (2003)
James S. Welsh, Graham C. Goodwin
Frequency localising basis functions for wide-band identification. ECC (2003)
Graham C. Goodwin, James S. Welsh
Bias issues in closed loop identification with application to adaptive control. Commun. Inf. Syst. 2 (4) (2002)
Graham C. Goodwin, James S. Welsh
Self excited closed loop parametric estimation in the presence of noise undermodelling. ACC (2002)
James S. Welsh, Graham C. Goodwin
Finite sample properties of indirect nonparametric closed-loop identification. IEEE Trans. Autom. Control. 47 (8) (2002)
James S. Welsh, Graham C. Goodwin
Analysis of a self tuning iteration in the presence of noise undermodelling. CDC (2001)