This paper studies the generalized time-varying systems identification problem by means of
a time-varying parameter expression. The basic idea is to propose an extended stochastic …

This article reviews and investigates several basic recursive parameter identification
methods for a general stochastic system with colored noise (ie, output-error autoregressive …

Least squares is an important method for solving linear fitting problems and quadratic
optimization problems. This paper explores the properties of the least squares methods and …

For equation‐error autoregressive moving average systems, that is, Box–Jenkins systems,
this paper presents a filtered auxiliary model generalized extended stochastic gradient …

This paper studies the parameter identification problem for a large-scale multivariable
systems. In terms of the identification obstacle causing by huge amounts of parameters of …

This article focuses on the parameter estimation issues for a fractional‐order nonlinear
system with autoregressive noise. In the process, the challenge and difficulty are to identify …

This paper focuses on the identification of a multivariable controlled autoregressive-like
(CAR-like) system. A joint identification algorithm of stochastic gradient and least squares is …

This paper mainly investigates the issue of parameter identification for the fractional‐order
input nonlinear output error autoregressive (IN‐OEAR) model. In order to avoid the problem …

In this paper, the attitude control of the quadrotor system under external disturbance is
studied. A novel adaptive sliding mode control (ASMC) based on the linear extended state …

Bilinear system is a special class of nonlinear system. This paper is concerned with the
identification problem of the bilinear systems in the state–space form. By treating the …