Noise-Resistant Discrete-Time Neural Dynamics for Computing Time-Dependent Lyapunov Equation
Z-type neural dynamics, which is a powerful calculating tool, is widely used to compute various time-dependent problems. Most Z-type neural dynamics models are usually investigated in a noise-free situation. However, noises will inevitably exist in the implementation process of a neural dynamics mod...
Main Authors: | Qiuhong Xiang, Weibing Li, Bolin Liao, Zhiguan Huang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8425977/ |
Similar Items
-
Complex Noise-Resistant Zeroing Neural Network for Computing Complex Time-Dependent Lyapunov Equation
by: Bolin Liao, et al.
Published: (2022-08-01) -
Solution Estimates for the Discrete Lyapunov Equation in a Hilbert Space and Applications to Difference Equations
by: Michael Gil’
Published: (2019-02-01) -
Quadratic forms as Lyapunov functions in the study of stability of solutions to difference equations
by: Alexander O. Ignatyev, et al.
Published: (2011-02-01) -
Lyapunov inequalities for time scales
by: Ridenhour Jerry, et al.
Published: (2002-01-01) -
Lyapunov Instability for Discontinuous Differential Equations
by: Iguer Luis Domini dos Santos
Published: (2021-12-01)