Global μ-synchronization of impulsive pantograph neural networks.
basic_science · Level V
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- Record sourced from PubMed, PMID 32763762.
- Also identified by DOI 10.1016/j.neunet.2020.07.004.
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Abstract
This paper investigates the problem of global μ-synchronization of impulsive pantograph neural networks. In this paper, new concept of ν-asymptotic periodic impulsive interval T<sub>asy</sub><sup>ν</sup> is proposed for pantograph networks. By employing the Lyapunov method combined with the mathematical analysis approach for impulsive systems, some useful criteria are derived to guarantee the global μ-synchronization of coupled pantograph neural networks when the asymptotic logarithmic periodic impulsive interval T<sub>asy</sub><sup>ln</sup><∞ and T<sub>asy</sub><sup>ln</sup>=∞, respectively. Especially when T<sub>asy</sub><sup>ln</sup>=∞, as long as the networks are unstable, impulsive control cannot achieve synchronization regardless of the size of the impulse gain. Numerical simulations are exploited to illustrate our theoretical results.
Medical subject headings
- Neural Networks, Computer