Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Shixian Luo"'
Publikováno v:
Neurocomputing. 286:41-50
The issue of exponential synchronization of stochastic time-delayed memristor-based neural networks via distributed impulsive control is considered. Based on the characteristics of memristor, the corresponding drive and response stochastic memristor-
Publikováno v:
International Journal of Applied and Computational Mathematics. 5
Based on the LaSalle invariant principle of stochastic differential delay equations and Wirtinger’s inequality as well as periodically intermittent control and impulsive control schemes, several sufficient conditions ensuring the synchronization of
Autor:
Shixian Luo, Yan Jiang
Publikováno v:
Circuits, Systems, and Signal Processing. 36:1426-1444
In this paper, we focus on the synchronization problem of delayed stochastic neural networks via periodically intermittent control. Two cases of time-varying bounded delay are considered: one is that the time-varying delay without any constraints on
Publikováno v:
Nonlinear Analysis: Hybrid Systems. 17:111-127
The H ∞ synchronization problem for complex dynamical networks with coupling delays and external disturbance via distributed impulsive control is studied. Two types of time-varying coupling delays are considered: the delays without any restriction
Publikováno v:
2016 12th World Congress on Intelligent Control and Automation (WCICA).
This paper presents a new impulsive synchronization criterion of two identical reaction-diffusion neural networks with discrete and unbounded distributed delays. The new criterion is established by applying an impulse-time-dependent Lyapunov function
Publikováno v:
IEEE transactions on neural networks and learning systems. 27(12)
This paper presents a new impulsive synchronization criterion of two identical reaction–diffusion neural networks with discrete and unbounded distributed delays. The new criterion is established by applying an impulse-time-dependent Lyapunov functi