A generalized Sylvester equation is a special formulation containing the Sylvester equation,
the Lyapunov equation and the Stein equation, which is often encountered in various fields …

Various zeroing neural network (ZNN) models have been investigated to address the
tracking control of robot manipulators for the capacity of parallel processing and nonlinearity …

Aiming at time-variant problems solving, a special type of recurrent neural networks, termed
zeroing neural network (ZNN), has been proposed, developed, and validated since 2001 …

Due to the property of multiple solutions, redundant robot manipulators are usually required
to simultaneously achieve multiple objectives in complex applications. The research of …

In engineering fields, time‐varying matrix inversion (TVMI) issue is often encountered.
Zeroing neural network (ZNN) has been extensively employed to resolve the TVMI problem …

In this article, a noise-suppression variable-parameter zeroing neural network (NSVPZNN)
is proposed to handle the dynamic Sylvester equation. Differing from the previous zeroing …

In the previous work, a finite-time zeroing neural network (ZNN) has been established to find
the accurate solution of Lyapunov equation in the presence of no noises. In order to further …

This paper proposes a complex number representation method for dynamically recording
robot positions and develops an optimization strategy for measuring and minimizing inter …

In this work, a new zeroing neural network (ZNN) using a versatile activation function (VAF)
is presented and introduced for solving time-dependent matrix inversion. Unlike existing …

Sylvester equation is often applied to various fields, such as mathematics and control
systems due to its importance. Zeroing neural network (ZNN), as a systematic design …