Wang, Z.S. and Zhang, H.G. and Jiang, B. (2011) LMI-Based Approach for Global Asymptotic Stability Analysis of Recurrent Neural Networks with Various Delays and Structures. IEEE Transactions on Neural Networks, 22, 1032-1045.
https://doi.org/10.1109/TNN.2011.2131679

has been cited by the following article:

• TITLE: Synchronization of Stochastic Memristive Neural Networks with Retarded and Advanced Argument

  AUTHORS: Renxiang Xian

  KEYWORDS: Synchronization, Memristive Neural Networks, Random Disturbance, Time-Delay Feedback, Adaptive Control, Retarded and Advanced System

  JOURNAL NAME: Journal of Intelligent Learning Systems and Applications, Vol.13 No.1, February 26, 2021

  ABSTRACT: In this paper, we discuss the driving-response synchronization problem for two memristive neural networks with retarded and advanced arguments under the condition of additional noise. The control law is related to the linear time-delay feedback term, and the discontinuous feedback term. Moreover, the random different equation is used to prove the stability of this theory. At the end, the simulation results verify the correctness of the theoretical results.