Stochastically exponential synchronization for Markov jump neural networks with time-varying delays via event-triggered control scheme

Stochastically exponential synchronization for Markov jump neural networks with time-varying delays via event-triggered control scheme

Abstract This paper focuses on the stochastically exponential synchronization problem for one class of neural networks with time-varying delays (TDs) and Markov jump parameters (MJPs). To derive a tighter bound of reciprocally convex quadratic terms, we provide an improved reciprocally convex combin...

Full description

Bibliographic Details
Main Authors: Xiaoman Liu, Haiyang Zhang, Jun Yang, Hao Chen
Format: Article
Language:English
Published: SpringerOpen 2021-01-01
Series:Advances in Difference Equations
Subjects:
Stochastically exponential synchronization
Markov jump neural networks
Time-varying delays
Event-triggered control scheme
Reciprocally convex combination inequality
Online Access:https://doi.org/10.1186/s13662-020-03109-7

Internet

https://doi.org/10.1186/s13662-020-03109-7

Similar Items