The Kalman filter (KF) is a popular state estimation technique that is utilized in a variety of
applications, including positioning and navigation, sensor networks, battery management …

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

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 investigates the parameter identification problems of the stochastic systems
described by the input‐nonlinear output‐error (IN‐OE) model. This IN‐OE model consists of …

This article proposes a novel identification framework for estimating the parameters of the
controlled autoregressive autoregressive moving average (CARARMA) models with colored …

By using the collected batch data and the iterative search, and based on the filtering
identification idea, this article investigates and proposes a filtered multi‐innovation …

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 …

The controlled autoregressive autoregressive moving average (CARARMA) models are of
popularity to describe the evolution characteristics of dynamical systems. To overcome the …

This paper studies the parameter estimation problems of feedback nonlinear systems.
Combining the multi‐innovation identification theory with the negative gradient search, we …

This paper addresses the combined estimation issues of the parameters and states for
fractional‐order Hammerstein state space systems with colored noises. An extended state …