Finite-Time Convergence and Robustness Analysis of Two Nonlinear Activated ZNN Models for Time-Varying Linear Matrix Equations

Finite-Time Convergence and Robustness Analysis of Two Nonlinear Activated ZNN Models for Time-Varying Linear Matrix Equations

Based on zeroing neural network (ZNN), this paper designs two nonlinear activated ZNN (NAZNN) models for time-varying linear matrix equation through taking two new activation functions into consideration. The purpose of constructing the novel models is to solve the problem of time-varying linear mat...

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Bibliographic Details
Main Authors: Lin Xiao, Lei Jia, Yongsheng Zhang, Zeshan Hu, Jianhua Dai
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Time-varying linear matrix equation
zeroing neural network (ZNN)
activation functions
finite-time convergence
steady state residual error
Online Access:https://ieeexplore.ieee.org/document/8840832/

Internet

https://ieeexplore.ieee.org/document/8840832/

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