A key to the analysis and design of a dynamic system is to establish a suitable mathematical
model of the system. This paper investigates the parameter optimization problem of a class …

This article mainly studies the iterative parameter estimation problems of a class of nonlinear
systems. Based on the auxiliary model identification idea, this article utilizes the estimated …

This article considers the parameter identification problem of multiple‐input single‐output
Hammerstein nonlinear systems. Applying the data filtering technique, the input–output data …

For the parameter estimation problem of an input nonlinear controlled autoregressive
moving average system with variable‐gain nonlinearity, this article gives an analytical form …

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

Document image enhancement methods are often used to improve the accuracy and
efficiency of automated document analysis and recognition tasks such as character …

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

The non‐Gaussian characteristic of the impulsive noise significantly degrades the
performance of the‐norm‐based identification algorithms. To overcome the negative effects …

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 …