Journal of Lanzhou University of Technology ›› 2020, Vol. 46 ›› Issue (5): 158-165.

• Scientific • Previous Articles     Next Articles

Fixed-time control synchronization of stochastic memristive neural networks with time-varying delays

PU Hao1, HUANG Jiang-wen2, QIN Jin1, WANG Zheng-wei1, WANG Xing1   

  1. 1. School of Mathematics, Zunyi Normal College, Zunyi 563006, China;
    2. School of Mathematics and Statistics, Southwest University, Chongqing 400715, China
  • Received:2019-09-16 Online:2020-10-28 Published:2020-11-06

Abstract: The fixed-time control synchronization of stochastic memristive neural networks with time-varying delays is studied. Based on the set-valued mapping, stochastic differential inclusion theory, fixed-time stability theory, Lyapunov function, I$\hat{t}$o's formula and some inequality methods, under the appropriate feedback control ui(t) which related to delay τ, statistics perturbation term and transition jump Ti, some new sufficient condition is obtained for fixed time control synchronization.

Key words: Memristive neural network, fixed-time synchronization, switching jumps, stochastic perturbations, time-varying delays, p-norm

CLC Number: