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 …

With the development of artificial intelligence and the broad application of sensors, human
activity recognition (HAR) technologies based on noninvasive environmental sensors have …

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 …

The primary method of endoscopic image mosaics seamlessly mosaics several continuous
and overlapping endoscopic images to have a broader vision and clearer images. The key …

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 considers the parameter identification problems of a Volterra nonlinear system. In
order to overcome the excessive calculation amount of the Volterra systems, a hierarchical …

A key to the analysis and design of a dynamic system is to establish a suitable mathematical
model of the system. This paper investigates the parameter optimization problem of a class …

This article focuses on the parameter estimation for a class of nonlinear systems, that is,
multi‐input single‐output or two‐input single‐output Hammerstein finite impulse response …

This article studies the identification problem of the nonlinear sandwich systems. For the
sandwich system, because there are inner variables which cannot be measured in the …

Abstract Simultaneous Localization and Mapping (SLAM) is a key problem in the field of
Artificial Intelligence and mobile robotics that addresses the problem of localization and …