Dec 29, 2022 · Superior to conventional discretization methods, a general linear six-step (LSS) method with the seventh-order precision and five variable ...

For conveniently practical use, a discrete model is naturally desired. Superior to conventional discretization methods, a general linear six-step. (LSS) method ...

Inverse-Free DZNN Models for Solving Time-Dependent Linear System via High-Precision Linear Six-Step Method · Min Yang, Yunong Zhang, Haifeng Hu · Published in ...

Inverse-Free DZNN Models for Solving Time-Dependent Linear System via High-Precision Linear Six-Step Method. IEEE Trans. Neural Netw. Learn. Syst. Pub Date ...

In this paper, a general five-step discrete-time zeroing neural dynamics (DTZND) model is proposed to solve linear time-varying matrix equation with unknown ...

A novel inverse-free zeroing neural network for solving time-variant nonlinear optimization is proposed in this paper. •. Detailed theoretical analyses ...

Time-varying matrix pseudoinverse (TVMP) problem has been investigated by many researchers in recent years, but a new class of matrix termed Zhang matrix ...

Inverse-Free DZNN Models for Solving Time-Dependent Linear System via High-Precision Linear Six-Step Method. Time-dependent linear system (TDLS) is usually ...

This paper proposes two complex-valued zeroing neural network (Cv-ZNN) models for solving dynamic complex time-variant linear equations.

This article concentrates on designing new discrete ZNN models appropriately for computing the FMPs of all matrices of full rank, including the Zhang matrix ...