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 …

Abstract The fact that Unmanned Aerial Vehicles (UAVs) move in a specific path and that the
camera in the gimbal system mounted on the UAV adhere to the right target attracts the …

This paper considers the parameter estimation problems of two-input single-output
Hammerstein finite impulse response systems. A hierarchical least squares algorithm is …

This article considers the parameter estimation problems of block‐oriented nonlinear
systems. By using the key term separation, the system output is represented as a linear …

For the parameter estimation problem of an input nonlinear controlled autoregressive
moving average system with variable‐gain nonlinearity, this article gives an analytical form …

This article focuses on the parameter estimation problem of the input nonlinear system
where an input variable‐gain nonlinear block is followed by a linear controlled …

This paper considers the parameter and order estimation for multiple-input single-output
nonlinear systems. Since the orders of the system are unknown, a high-dimensional …

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 …

In battery management system (BMS), equivalent-circuit model (ECM) is commonly used to
simulate battery dynamics. However, there always is a contradiction between model …

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 …