2022
DOI: 10.1002/rnc.6379
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Exponential synchronization of stochastic coupled neural networks with Markovian switching via event‐triggered control

Abstract: This article reports on exponential synchronization for stochastic coupled neural networks (NNs) with mixed time‐varying delays, stochastic coupling strength, and Markovian switching. In order to reduce the amount of data transmission and save network resources, an event‐triggered control method is provided in this study. When the triggered condition can be met, the data can be transmitted so that the master and slave systems with limited resources and bandwidth can realize synchronization. By the Lyapunov sta… Show more

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Cited by 4 publications
(4 citation statements)
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“…Theorem 5. Under Assumptions (A1) and (A2) and condition (28), the delayed coupled NNs (1) with controller (5) can be synchronized to the target system (2) in a fixed time, if there exist a constant 𝜆 such that…”
Section: Fts and Ec In The Sense Of Vector 2-norm And ∞-Normmentioning
confidence: 99%
See 3 more Smart Citations
“…Theorem 5. Under Assumptions (A1) and (A2) and condition (28), the delayed coupled NNs (1) with controller (5) can be synchronized to the target system (2) in a fixed time, if there exist a constant 𝜆 such that…”
Section: Fts and Ec In The Sense Of Vector 2-norm And ∞-Normmentioning
confidence: 99%
“…In Theorems 1,3, and 5, different conditions are obtained in different norm senses. It is obvious that condition ( 6) is more conservative than (28). Additionally, compared to Theorems 1 and 3, Theorem 5 is obtained using ∞-norm, which only focuses on the maximum value in the absolute value of the error vector 𝜛(t) and does not require the calculation of all dimensions in the error vector.…”
Section: Fts and Ec In The Sense Of Vector 2-norm And ∞-Normmentioning
confidence: 99%
See 2 more Smart Citations