Autonomous vehicle control systems are unavoidably influenced by diverse noise
perturbations from the unpredictable external environment and internal system. In this …

Extensive research has been conducted in dynamic mathematical problems and real-time
industrial control applications, leading to the emergence of zeroing neural dynamics (ZND) …

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 …

Zeroing neural network (ZNN) has been applied to various time-varying problems solving,
and numerous ZNN models have been developed in recent years, such as power-type …

Most schemes of trajectory tracking control of redundant manipulators consider only the
position of the end-effector with little regard for its orientation, and reduce the feasible region …

Finding dynamic Moore–Penrose inverses (DMPIs) in real-time is a challenging problem
due to the time-varying nature of the inverse. Traditional numerical methods for static Moore …

The problem of solving algebraic Riccati equations (AREs) and certain linear matrix
equations which arise from the ARE frequently occur in applied and pure mathematics …

The hyperpower family of iterative methods with arbitrary convergence order is one of the
most used methods for estimating matrix inverses and generalized inverses, whereas the …

Many researchers have investigated the time-varying (TV) matrix pseudoinverse problem in
recent years, for its importance in addressing TV problems in science and engineering. In …

Zeroing neural network (ZNN) is an effective means of handling the dynamic Lyapunov
equation. However, the conventional ZNN's convergence speed relies heavily on its initial …