Adaptive stochastic synchronization of delayed reaction–diffusion neural networks

Synchronization control of stochastic delayed neural networks

In this paper, synchronization control of stochastic neural networks with time-varying delays has been considered. A novel control method is given using the Lyapunov functional method and linear matrix inequality (LMI) approach. Several sufficient conditions have been derived to ensure the global asymptotical stability in mean square for the error system, and thus the drive system synchronize w...

Adaptive H1 Anti-Synchronization for Time-Delayed Chaotic Neural Networks

In this paper, an adaptive H∞ control scheme is developed to study the antisynchronization behavior of time-delayed chaotic neural networks with unknown parameters. This adaptive H∞ anti-synchronization controller is designed based on LyapunovKrasovskii theory and an analytic expression of the controller with its adaptive laws of parameters is shown. The proposed synchronization method guarante...

Adaptive almost surely asymptotically synchronization for stochastic delayed neural networks with Markovian switching

*Correspondence: [email protected]; [email protected] 2College of Information Science and Technology, Donghua University, Shanghai, 201620, P.R. China Full list of author information is available at the end of the article Abstract In this paper, the problem of the adaptive almost surely asymptotically synchronization for stochastic delayed neural networks with Markovian switching is conside...

Stochastic delayed neural networks

Pinning synchronization of delayed neural networks.

This paper investigates adaptive pinning synchronization of a general weighted neural network with coupling delay. Unlike recent works on pinning synchronization which proposed the possibility that synchronization can be reached by controlling only a small fraction of neurons, this paper aims to answer the following question: Which neurons should be controlled to synchronize a neural network? B...