Hammerstein structure is commonly used for describing nonlinear dynamic characteristics,
and its identification is a basic premise of nonlinear system analysis and control. This paper …

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

Compared with the systems with white noise disturbances, the parameter identification of the
systems with colored noises (ie, correlated noises) is more difficult. In this letter, we use the …

In practical applications, many processes have nonlinear characteristics that require
nonlinear models for accurate description. However, constructing such models and …

In this paper, we use the maximum likelihood principle and the negative gradient search
principle to study the identification issues of the multivariate equation‐error systems whose …

This article is aimed to study the parameter identification of the ExpARX system. To
overcome the computational complexity associated with a large number of feature …

This article considers the parameter estimation problems for the controlled autoregressive
systems interfered by moving average noises. A recursive extended gradient algorithm with …

This article considers the parameter identification problems of stochastic systems which
described by the finite impulse response moving average model. Since the system is …

In electrocardiograms (ECGs), multiple forms of encryption and preservation formats create
difficulties for data sharing and retrospective disease analysis. Additionally, photography …

Nonlinear systems widely exist in real‐word applications and the research for these systems
has enjoyed a long and fruitful history, including the system identification community …