Affiliations: School of Mathematics Physics and Statistics, Shanghai University of Engineering Science, Shanghai, PR China
Correspondence:
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Corresponding author. Wenxia Cui, School of Mathematics Physics and Statistics, Shanghai University of Engineering Science, Shanghai 201620, PR China. E-mail: cuiwx423@163.com.
Abstract: This paper mainly considers the finite-time synchronization problem of fuzzy inertial cellular neural networks (FICNNs) with time-varying delays. By constructing the suitable Lyapunov functional, and using integral inequality techniques, several sufficient criteria have been proposed to ensure the finite-time synchronization for the addressed (FICNNs). Without applying the known finite-time stability theorem, which is widely used to solve the finite-time synchronization problems for (FICNNs). In this paper, the proposed method is relatively convenient to solve finite-time synchronization problem of the addressed system, this paper extends the research works on the finite-time synchronization of (FICNNs). Finally, numerical simulations illustrated verify the effectiveness of the proposed results.
Keywords: Finite-time synchronization, complex networks, time-varying delays, integral inequality
