This article reviews and investigates several basic recursive parameter identification
methods for a general stochastic system with colored noise (ie, output-error autoregressive …

Safety and reliability are absolutely vital for sophisticated Railway Point Machines (RPMs).
Hence, various kinds of sensors and transducers are deployed on RPMs as much as …

Least squares is an important method for solving linear fitting problems and quadratic
optimization problems. This paper explores the properties of the least squares methods and …

For equation‐error autoregressive moving average systems, that is, Box–Jenkins systems,
this paper presents a filtered auxiliary model generalized extended stochastic gradient …

This paper studies the parameter identification problem for a large-scale multivariable
systems. In terms of the identification obstacle causing by huge amounts of parameters of …

This article investigates the parameter identification problems of the stochastic systems
described by the input‐nonlinear output‐error (IN‐OE) model. This IN‐OE model consists of …

Contactless fault diagnosis is one of the most important technique for fault identification of
equipment. Based on the idea of contactless fault diagnosis, this paper presents a sound …

Multiple-input multiple-output (MIMO) systems have extensive applications in industrial
processes and systems engineering. This letter applies the filtering identification idea to …

This article proposes a novel identification framework for estimating the parameters of the
controlled autoregressive autoregressive moving average (CARARMA) models with colored …

This paper mainly investigates the issue of parameter identification for the fractional‐order
input nonlinear output error autoregressive (IN‐OEAR) model. In order to avoid the problem …