As a prerequisite of accurate process analysis, prediction and optimization, the precise
identification of process dynamic characteristics is of great significance. Traditional …

This paper develops a biased compensation recursive least squares-based threshold
algorithm for a time-delay rational model. The time-delay rational model is transformed into …

Two identification methods based on the redundant rules are proposed for a class of
systems with unknown time-delays. One is the recursive least squares based redundant …

This paper addresses both the problems of identification and state estimation of the class of
nonlinear fractional systems. Using the combined state and parameter estimation approach …

This paper proposes a ridge regression based least squares algorithm (LS-RR) and a three
stage lasso regression based least squares algorithm (TS-LS-LR) for a rational model with …

In this work, a new method is proposed to identify systems in the form of first and second-
order continuous time-delayed (CTD) models where time-delay and rational parameters are …

In this paper, the identification of a time delay Hammerstein system is considered. Based on
a normalized Gaussian white input, a cross-correlation function increment method is …

The multimodel approach is a powerful and practical tool to deal with analysis, modeling,
observation, emulation and control of complex systems. In the modeling framework, we …

In this paper, we apply a hierarchical identification principle to identify simultaneously the
unknown time delay and dynamic parameters of discrete-time delay systems. In our …

Time delay dynamic systems are widely existed due to sensors, actuators or other reasons.
In this paper, a time delay FIR system is considered to model linear dynamic systems. The …