The sampled-data systems have been extensively applied to practical engineering because
the digital signal shows great advantages in data transmission, storage and exchange. As a …

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 considers the parameter estimation problem of nonlinear models, which are
related to the impulse or step response functions of linear time-invariant (LTI) dynamical …

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 …

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 …

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 …

Hammerstein structure is commonly used for describing nonlinear dynamic characteristics,
and its identification is a basic premise of nonlinear system analysis and control. This paper …

Prediction based on time series has a wide range of applications. Due to the complex
nonlinear and random distribution of time series data, the performance of learning prediction …