The identification of state-space models of bilinear systems is studied in this paper. The
parameters to be identified of the considered system are coupled with the unknown states …

The rational fraction system is a special nonlinear system, the existence of the denominator
polynomial leads to the difficulty of identifying rational fraction models. Inspired by the …

This paper presents a novel reduced-order algorithm for identifying rational models. From
the Arnoldi process, an orthonormal basis of the Krylov subspace is constructed. Based on …

This article proposes several second‐order optimization methods for time‐delay ARX model.
Since the time‐delay in the information vector makes the traditional identification algorithms …

The relationship between the parameters and the states of state-space systems is nonlinear,
which makes the identification problems of state-space systems complicated. This paper …

Volatility is an important issue for companies, policy-makers, and researches.
Autoregressive conditional heteroscedasticity (ARCH) and generalized ARCH (GARCH) …

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 …

This paper focuses on the parameter estimation problem of multivariate output-error
autoregressive systems. Based on the data filtering technique and the auxiliary model …

This study proposes two improved gradient descent parameter estimation algorithms for
rational state-space models with time-delay. These two algorithms, based on intelligent …

We consider the range-based localization problem, which involves estimating an object's
position by using sensors, hoping that as the number of sensors increases, the estimate …