Mean square synchronization for stochastic delayed neural networks via pinning impulsive control
Mean square
Lyapunov stability
Square (algebra)
DOI:
10.3934/era.2022161
Publication Date:
2022-06-20T10:31:46Z
AUTHORS (3)
ABSTRACT
<abstract><p>The mean square synchronization for a class of general stochastic delayed neural networks is explored in this paper using pinning impulsive control (PIC). It evident that PIC combines the profits and control. Considering there time delay between allocation execution instructions practice, idea average (AID) brought to describe kind delay. Furthermore, actuality, with internal disturbance are more general. Accordingly, some appropriate criteria derived Lyapunov stability theory Fubini theorem ensure two different cases, namely when controller designed without Finally, numerical examples afforded validate efficiency theoretical results.</p></abstract>
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