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Bao, H., Park, J. and Cao, J. (2016) Exponential Synchronization of Coupled Stochastic Memristor-Based Neural Networks with Time-Varying Probabilistic Delay Coupling and Impulsive Delay. IEEE Transactions on Neural Networks and Learning Systems, 27, 190-201.
https://doi.org/10.1109/TNNLS.2015.2475737

has been cited by the following article:

• TITLE: Fixed-Time and Finite-Time Synchronization for a Class of Output-Coupling Complex Networks via Continuous Control

  AUTHORS: Zhiwei Li

  KEYWORDS: Output-Coupling Complex Networks, Fixed-Time Synchronization, Finite-Time Synchronization, Continuous Controller

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.12 No.10, October 18, 2019

  ABSTRACT: This paper mainly investigates the finite-time and fixed-time synchronization problem for a class of general output-coupling complex networks with output feedback nodes. The fixed-time and finite-time synchronization protocols are presented based on continuous controller strategies which can efficaciously eliminate chattering phenomenon existing in some previous results. Several sufficient conditions ensuring fixed-time and finite-time synchronization are derived by employing Lyapunov stability theory, linear matrix inequality (LMI) and adaptive technique. Furthermore, aimed at the model of this article, we study the problem of adaptive coupling strength in fixed-time synchronization which is rarely involved in previous results. Finally, several numerical examples are given to illustrate the effectiveness of our results.