Step and relay feedback tests have been widely used for model identification in the process
industry. The corresponding identification methods developed in the past three decades are …

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 …

In this paper, a new Newton iterative identification method is presented for estimating the
parameters of a second-order dynamic system utilizing the obtained data from the step …

Industrial Process Identification and Control Design is devoted to advanced identification
and control methods for the operation of continuous-time processes both with and without …

In this study, the authors consider the parameter estimation problem of the response signal
from a highly non‐linear dynamical system. The step response experiment is taken for …

The impulse signal is an instant change signal in very short time. It is widely used in signal
processing, electronic technique, communication and system identification. This paper …

This paper presents a new approach to identify continuous-time systems with arbitrary time-
delay from irregularly sampled input–output data. It is based on the separable nonlinear …

Modelling of real physical systems having long memory transients and infinite dimensional
structures using fractional-order dynamic models has significantly attracted interest over the …

This article presents a new design of experiment approach based on an evolving neuro-
fuzzy model. The input of the process is proposed by a space-filling method that uses a …

Bed temperature control, being of great significance for the safety, durability and NOx
reduction of circulating fluidized bed (CFB) boiler, is nowadays becoming increasingly …