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James S. Welsh
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2020 – today
- 2025
- [j33]Rodrigo A. González, Koen Classens, Cristian R. Rojas, James S. Welsh, Tom Oomen:
Identification of additive continuous-time systems in open and closed loop. Autom. 173: 112013 (2025) - 2024
- [j32]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: 111697 (2024) - [j31]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: 388-393 (2024) - [i12]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 abs/2401.01263 (2024) - [i11]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 abs/2404.08955 (2024) - [i10]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 abs/2404.09071 (2024) - 2023
- [j30]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: 2233-2238 (2023) - [j29]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): 2527-2541 (2023) - [j28]Morris Vysma
, James S. Welsh
, Derek R. Laver
:
Computationally Efficient Simulation of Calcium Signaling in Cardiomyocytes. IEEE Trans. Biomed. Eng. 70(4): 1298-1309 (2023) - [c33]Augustus Elton, Rodrigo A. González
, James S. Welsh, Cristian R. Rojas, Minyue Fu:
Parametric Continuous-Time Blind System Identification. CDC 2023: 1474-1479 - [i9]Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh
:
Parsimonious Identification of Continuous-Time Systems: A Block-Coordinate Descent Approach. CoRR abs/2304.03259 (2023) - [i8]Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh:
On the Relation between Discrete and Continuous-time Refined Instrumental Variable Methods. CoRR abs/2305.19676 (2023) - 2022
- [j27]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: 109946 (2022) - [j26]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: 110355 (2022) - [j25]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: 110511 (2022) - [j24]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) - 2021
- [j23]Rodrigo A. González, Cristian R. Rojas, Siqi Pan
, James S. Welsh
:
Consistent identification of continuous-time systems under multisine input signal excitation. Autom. 133: 109859 (2021) - [c32]Siqi Pan
, Quoc Chi Nguyen, Van Thuat Nguyen, James S. Welsh
:
Continuous-time System Identification of a Flexible Cantilever Beam. CCTA 2021: 868-873 - [c31]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: 3004-3009 - [c30]Augustus Elton, Phuong T. H. Nguyen, James S. Welsh
:
Evaluation of controller autotuning in a wind energy conversion system. ISGT Asia 2021: 1-5 - [i7]Siqi Pan, James S. Welsh, Rodrigo A. González, Cristian R. Rojas:
Consistency Analysis of the Closed-loop SRIVC Estimator. CoRR abs/2103.12338 (2021) - 2020
- [j22]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: 108767 (2020) - [j21]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: 109196 (2020) - [j20]Xiao-Li Hu
, James S. Welsh
:
Continuous-Time Model Identification From Filtered Sampled Data: Error Analysis. IEEE Trans. Autom. Control. 65(10): 4005-4015 (2020) - [i6]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 abs/2002.00518 (2020) - [i5]Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh:
Consistent identification of continuous-time systems under multisine input signal excitation. CoRR abs/2005.02662 (2020)
2010 – 2019
- 2019
- [j19]Jeremy Stoddard
, Georgios Birpoutsoukis, Johan Schoukens, James S. Welsh
:
Gaussian process regression for the estimation of generalized frequency response functions. Autom. 106: 161-167 (2019) - [j18]Jeremy Stoddard
, Georgios Birpoutsoukis, John Lataire, James S. Welsh
:
Frequency domain response under arbitrary excitation for fading memory nonlinear systems. Autom. 107: 327-332 (2019) - [c29]Jeremy Stoddard
, James S. Welsh
:
Improved Nonlinear Model Predictive Control with Volterra-Laguerre Models. ACC 2019: 1014-1019 - [i4]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 abs/1910.00166 (2019) - 2018
- [j17]Huong Ha
, James S. Welsh
, Mazen Alamir
:
Useful redundancy in parameter and time delay estimation for continuous-time models. Autom. 95: 455-462 (2018) - [j16]Huong Ha
, James S. Welsh
, Cristian R. Rojas, Bo Wahlberg:
An analysis of the SPARSEVA estimate for the finite sample data case. Autom. 96: 141-149 (2018) - [j15]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): 329-335 (2018) - [c28]Indriani Puspitasari Astono, James S. Welsh
, Stephan K. Chalup
:
Adjacent Network for Semantic Segmentation of Liver CT Scans. BIBE 2018: 35-40 - [c27]Rodrigo A. González, Cristian R. Rojas, James S. Welsh
:
An asymptotically optimal indirect approach to continuous-time system identification. CDC 2018: 638-643 - [c26]Jeremy Stoddard
, James S. Welsh
:
Data-Driven Modeling of a Coupled Electric Drives System Using Regularized Basis Function Volterra Kernels. ICIRA (1) 2018: 475-485 - [c25]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: 74-85 - [i3]Rodrigo A. González, Cristian R. Rojas, James S. Welsh:
An asymptotically optimal indirect approach to continuous-time system identification. CoRR abs/1803.08449 (2018) - [i2]Fayeem Aziz, Aaron S. W. Wong, James S. Welsh, Stephan K. Chalup:
Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise. CoRR abs/1809.06992 (2018) - 2017
- [j14]Jeremy Stoddard
, James S. Welsh
, Håkan Hjalmarsson
:
EM-Based Hyperparameter Optimization for Regularized Volterra Kernel Estimation. IEEE Control. Syst. Lett. 1(2): 388-393 (2017) - 2016
- [c24]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: 15-20 - [c23]Huong Ha
, James S. Welsh
:
Parameter and delay estimation of continuous-time models utilizing multiple filtering. CDC 2016: 1205-1210 - 2015
- [c22]Luke P. Simmons, James S. Welsh
:
Unscented Kalman Filter based finger tracking utilising magnetoresistive sensors. ACC 2015: 5128-5133 - [c21]Huong Ha
, James S. Welsh
:
Model order selection for continuous time instrumental variable methods using regularization. CDC 2015: 771-776 - 2014
- [c20]Luke P. Simmons, James S. Welsh
:
Particle filter based finger tracking utilising magnetoresistive sensors. AIM 2014: 560-565 - [c19]Huong Ha
, James S. Welsh
:
Ensuring stability in continuous time system identification instrumental variable method for over-parameterized models. CDC 2014: 2597-2602 - [c18]Bo Wahlberg, James S. Welsh
, Lennart Ljung:
Identification of wiener systems with process noise is a nonlinear errors-in-variables problem. CDC 2014: 3328-3333 - [i1]Mikhail V. Konnik, James S. Welsh:
High-level numerical simulations of noise in CCD and CMOS photosensors: review and tutorial. CoRR abs/1412.4031 (2014) - 2013
- [j13]Xiao-Li Hu
, James S. Welsh
:
Necessary and sufficient convergence conditions of the instrumental variable method for identification. Autom. 49(9): 2693-2703 (2013) - [c17]Luke P. Simmons, James S. Welsh
:
Compact human-machine interface using surface electromyography. AIM 2013: 206-211 - [c16]Marion Gilson, James S. Welsh
, Hugues Garnier:
Frequency-domain instrumental variable based method for wide band system identification. ACC 2013: 1663-1668 - 2012
- [j12]Cristian R. Rojas, Juan C. Agüero
, James S. Welsh
, Graham C. Goodwin
, Arie Feuer:
Robustness in Experiment Design. IEEE Trans. Autom. Control. 57(4): 860-874 (2012) - [c15]Xiao-Li Hu, James S. Welsh
:
Bias analysis of continuous-time model identification from filtered sample output data. CDC 2012: 208-213 - [c14]Jason Kulk, James S. Welsh
:
Measuring impacts using Support Vector Machines on a standing humanoid robot. IJCNN 2012: 1-8 - 2011
- [j11]Mazen Alamir
, James S. Welsh
, Graham C. Goodwin
:
Synaptic plasticity based model for epileptic seizures. Autom. 47(6): 1183-1192 (2011) - [j10]Cristian R. Rojas, Märta Barenthin, James S. Welsh
, Håkan Hjalmarsson
:
The cost of complexity in system identification: The Output Error case. Autom. 47(9): 1938-1948 (2011) - [j9]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): 48-55 (2011) - [c13]Jason Kulk, James S. Welsh
:
Evaluation of walk optimisation techniques for the NAO robot. Humanoids 2011: 306-311 - [c12]Jason Kulk, James S. Welsh
:
Using redundant fitness functions to improve optimisers for humanoid robot walking. Humanoids 2011: 312-317 - [c11]Jason Kulk, James S. Welsh
:
A NUPlatform for Software on Articulated Mobile Robots. ISoLA Workshops 2011: 31-45 - 2010
- [j8]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): 2298-2309 (2010) - [c10]Galina Mirzaeva
, James S. Welsh
, Terrence J. Summers
, Robert Eric Betz
:
Frequency Analysis of Experimental Waveforms for DC Motors in Digging Applications. IAS 2010: 1-8
2000 – 2009
- 2009
- [j7]Mazen Alamir
, James S. Welsh
, Graham C. Goodwin
:
Redundancy versus multiple starting points in nonlinear system related inverse problems. Autom. 45(4): 1052-1057 (2009) - [j6]Cristian R. Rojas, James S. Welsh
, Juan C. Agüero
:
Fundamental Limitations on the Variance of Estimated Parametric Models. IEEE Trans. Autom. Control. 54(5): 1077-1081 (2009) - 2008
- [j5]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): 2706-2715 (2008) - [c9]Mazen Alamir
, James S. Welsh
, Graham C. Goodwin
:
On useful redundancy in experiment design for nonlinear system identification. CDC 2008: 5494-5499 - 2007
- [j4]Cristian R. Rojas, James S. Welsh
, Graham C. Goodwin
, Arie Feuer:
Robust optimal experiment design for system identification. Autom. 43(6): 993-1008 (2007) - [c8]Cristian R. Rojas, James S. Welsh
, Graham C. Goodwin
:
A Receding Horizon Algorithm to Generate Binary Signals with a Prescribed Autocovariance. ACC 2007: 122-127 - [c7]Juan C. Agüero
, James S. Welsh
, Osvaldo J. Rojas:
On the Optimality of Binary-Open-Loop Experiments to Identify Hammerstein Systems. ACC 2007: 2271-2276 - 2006
- [c6]James S. Welsh
, Graham C. Goodwin, Arie Feuer:
Evaluation and comparison of robust optimal experiment design criteria. ACC 2006: 1-6 - 2004
- [j3]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): 1427-1445 (2004) - [c5]Daniel E. Quevedo
, Graham C. Goodwin, James S. Welsh:
Design issues arising in a networked control system architecture. CCA 2004: 450-455 - 2003
- [c4]Daniel E. Quevedo
, Graham C. Goodwin, James S. Welsh:
Minimizing down-link traffic in networked control systems via optimal control techniques. CDC 2003: 1200-1205 - [c3]James S. Welsh
, Graham C. Goodwin:
Frequency localising basis functions for wide-band identification. ECC 2003: 376-381 - 2002
- [j2]Graham C. Goodwin, James S. Welsh:
Bias issues in closed loop identification with application to adaptive control. Commun. Inf. Syst. 2(4): 349-370 (2002) - [j1]James S. Welsh
, Graham C. Goodwin:
Finite sample properties of indirect nonparametric closed-loop identification. IEEE Trans. Autom. Control. 47(8): 1277-1292 (2002) - [c2]Graham C. Goodwin, James S. Welsh
:
Self excited closed loop parametric estimation in the presence of noise undermodelling. ACC 2002: 3331-3336 - 2001
- [c1]James S. Welsh, Graham C. Goodwin:
Analysis of a self tuning iteration in the presence of noise undermodelling. CDC 2001: 739-744
Coauthor Index

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last updated on 2025-03-04 21:15 CET by the dblp team
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