This paper discusses the importance and relevance of direct continuous-time system
identification and how this relates to the solution for model identification problems in …

The problem of identification of linear continuous-time (CT) state–space (SS) models directly
from time-domain data is considered. Given multi-sine waves as excitation signals, this …

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 …

Aiming at the problem of difficult identification of parameters in fractional non-homogeneous
Hammerstein-Wiener nonlinear MISO time-delay continuous systems, an algorithm that can …

Due to advancing technology, systems in engineering are becoming increasingly complex
and interconnected. Despite the ubiquity of systems that can be modelled as interconnected …

The equivalence of continuous-/discrete-time autoregressive-moving average (ARMA)
systems is considered in this paper. For the integer-order cases, the interrelations between …

The invariant-subspace based (ISP) system identification method is developed when the
excitation signal is periodic and the measured data are obtained from irregular samplings …

This article proposes a novel system identification method based on the notion of invariant
subspace. It is shown that when the system input and output asymptotically converge onto …

This paper deals with the nonlinear minimum mean-squared error estimation problem by
using a quaternion widely linear model. On the basis of the information supplied by a …

Existing parameter estimation methods for continuous-time systems (CTSs) primarily filter
the signal and transform differential equations into linear regression equations (LREs); …