The Kalman filter (KF) is a popular state estimation technique that is utilized in a variety of
applications, including positioning and navigation, sensor networks, battery management …

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 estimation problem of nonlinear models, which are
related to the impulse or step response functions of linear time-invariant (LTI) dynamical …

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 …

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 …

This article considers the parameter estimation for a fractional‐order nonlinear finite impulse
response system with colored noise. For the fractional‐order systems, the challenge and …

Variable‐gain nonlinearity is a piecewise‐linear characteristic to describe the process with
different gains in different input regions. This article studies the parameter estimation issue …

This paper studies the problem of parameter estimation for the multifrequency sine signals,
which have multiple characteristic parameters such as the amplitudes, phases, and …