Performance Analyses of Four-Instant Discretization Formulas With Application to Generalized-Sylvester-Type Future Matrix Equation

Performance Analyses of Four-Instant Discretization Formulas With Application to Generalized-Sylvester-Type Future Matrix Equation

For solving generalized-Sylvester-type future matrix equation (GS-type FME) effectively, the continuous zeroing neural network (ZNN) model should be discretized by appropriate discretization formula. In this paper, theoretical upper bound of truncation errors of four-instant discretization formulas...

Full description

Bibliographic Details
Main Authors: Zhangqiang Yin, Kang Liu, Yuanhang Chen, Rui Xue, Jian Li, Yang Shi
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Four-instant discretization formulas
higher-order derivative elimination
theoretical upper bound
generalized-Sylvester-type future matrix equation
zeroing neural network
Online Access:https://ieeexplore.ieee.org/document/8873617/

Internet

https://ieeexplore.ieee.org/document/8873617/

Similar Items