Accelerated Adaptive Gradient Neural Dynamics Models for Solving Time-Variant Lyapunov Equation and Their Applications
The time-variant Lyapunov equation (TVLE) has played an important role in many fields due to its ubiquity and many neural dynamics models have been developed to obtain the online solution of the TVLE. In prevalent methods, the gradient neural dynamics (GND) models suffer from the large residual erro...
Main Authors: | Qinrou Li, Yuyuan Zhuang, Lilan Zou, Guancheng Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10078873/ |
Similar Items
-
A gradient-based iterative algorithm for solving coupled Lyapunov equations of continuous-time Markovian jump systems
by: Wang Kun, et al.
Published: (2019-10-01) -
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) -
A Lyapunov Function For Logistic Equation On Time Scales
by: Veysel Fuat Hatipoğlu
Published: (2018-12-01) -
Existence of Ψ Bounded Solutions for a Lyapunov Matrix Dierential Equation
by: Diamandescu Aurel
Published: (2014-12-01) -
Solution Estimates for the Discrete Lyapunov Equation in a Hilbert Space and Applications to Difference Equations
by: Michael Gil’
Published: (2019-02-01)