Many control techniques rely on the mathematical models of the systems to be controlled.
This paper copes with the modelling problem of dynamical systems aiming to develop highly …

This paper considers the parameter identification problems of a Volterra nonlinear system. In
order to overcome the excessive calculation amount of the Volterra systems, a hierarchical …

Signal modeling is an important technique in many engineering applications. This paper is
concerned about signal modeling problem for the sine multi-frequency signals or periodic …

It is significant to fit a Gaussian function with the observation data for artificial intelligence or
other engineering fields. Considering the influence of noises, this article proposes a …

This paper considers the parameter identification problems of the input nonlinear output-
error (IN-OE) systems, that is the Hammerstein output-error systems. In order to overcome …

This article researches the filtering‐based parameter estimation issues for a class of
multivariate control systems with colored noise. A filtering‐based recursive generalized …

This article deals with the problems of the parameter estimation for feedback nonlinear
controlled autoregressive systems (ie, feedback nonlinear equation‐error systems). The …

The simultaneous parameter and state estimation for a multi-input multi-output (MIMO) state
space system from a set of measurement data is taken into account in this paper. Firstly, in …

This article deals with the parameter identification of the generalized time‐varying systems.
The time‐varying parameter vector can be expressed as a coefficient matrix multiplied by a …

This article investigates the parameter estimation problems of Hammerstein‐Wiener
nonlinear systems with non‐uniform sampling. The over‐parameterization identification …