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20182021
most citedConsistency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems

3 citations · 4 across the 2 of their papers we have counts for

collaborators

6 papers

eess.SY20211 cited

Consistency Analysis of the Closed-loop SRIVC Estimator

Siqi Pan, James S. Welsh, Rodrigo A. Gonzalez +1

The Consistency of the Closed-Loop Simplified Refined Instrumental Variable method for Continuous-time system (CLSRIVC) is analysed based on sampled data. It is proven that the CLS…

eess.SY2020

Consistent identification of continuous-time systems under multisine input signal excitation

Rodrigo A. González, Cristian R. Rojas, Siqi Pan +1

For many years, the Simplified Refined Instrumental Variable method for Continuous-time systems (SRIVC) has been widely used for identification. The intersample behaviour of the in…

eess.SY2020

Efficiency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems

Siqi Pan, James S. Welsh, Rodrigo A. González +1

In this paper, we derive the asymptotic Cramér-Rao lower bound for the continuous-time output error model structure and provide an analysis of the statistical efficiency of the Sim…

eess.SY20193 cited

Consistency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems

Siqi Pan, Rodrigo A. González, James S. Welsh +1

In this paper, we analyse the consistency of the Simplified Refined Instrumental Variable method for Continuous-time systems (SRIVC). It is well known that the intersample behaviou…

cs.LG2018

Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise

Fayeem Aziz, Aaron S. W. Wong, James S. Welsh +1

This study presents the results of a series of simulation experiments that evaluate and compare four different manifold alignment methods under the influence of noise. The data was…

eess.SP2018

Volterra Kernel Identification using Regularized Orthonormal Basis Functions

Jeremy G. Stoddard, James S. Welsh

The Volterra series is a powerful tool in modelling a broad range of nonlinear dynamic systems. However, due to its nonparametric nature, the number of parameters in the series inc…