A novel noise-tolerant Zhang neural network for time-varying Lyapunov equation
Abstract The Zhang neural network (ZNN) has become a benchmark solver for various time-varying problems solving. In this paper, leveraging a novel design formula, a noise-tolerant continuous-time ZNN (NTCTZNN) model is deliberately developed and analyzed for a time-varying Lyapunov equation, which i...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2020-03-01
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Series: | Advances in Difference Equations |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13662-020-02571-7 |