This article is concerned with the parameter identification problem of nonlinear dynamic
responses for the linear time‐invariant system by means of an impulse excitation signal and …

The permanent magnet is subject to high-temperature demagnetization under high-torque or
high-speed operating conditions. Accurate estimation of the temperature of the permanent …

Data informativity is a crucial property to ensure the consistency of the prediction error
estimate. This property has thus been extensively studied in the open-loop and in the closed …

In least costly experiment design, the optimal spectrum of an identification experiment is
determined in such a way that the cost of the experiment is minimized under some accuracy …

Abstract For Linear Time-Invariant (LTI) systems, Frequency Response Functions (FRFs)
facilitate dynamics analysis, controller design, and parametric modeling, while many …

Linear dynamical models play an important role in many engineering fields, including
simulation, analysis, optimization and control of complex systems and processes. This role is …

This paper has proposed a parameter estimation method for a laser welding process
inherently highly nonlinear as a result of the highly nonlinear inputs and outputs of the …

The dynamic behavior of the hydraulic actuator in a system for regulating the electrode's
position is crucial for the operation of a Ladle Furnace. This work aims to identify, model, and …

This work presents a control-oriented identification scheme for efficient control design and
stability analysis of nonlinear systems. Neural networks are used to identify a discrete-time …

Mathematical models have a crucial place in every engineering field. They can be used for
several purposes such as the design of a controller, the prediction, the health monitoring of a …