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In this paper, a class of BAM type Cohen-Grossberg neural networks with distributed delays are investigated. Some sufficient conditions about exponential stability of the distributed delays dynamic systems are obtained on time scales. The results extend and improve some recent works for neural networks with no impulses.
A class of impulsive neural networks with distributed delays is studied in this paper. With assuming global Lipschitz conditions on the activation functions, applying idea of vector Lyapunov function, combining Young inequality and Halanay differential inequality with delay, sufficient conditions are obtained for the existence of unique and global exponential stable equilibrium of the distributed...
In this paper we study the globally exponential stability of a class of neural networks with time-varying delays. Applying idea of vector Lyapunov function, Young inequality and Halanay differential inequality with delay, the sufficient conditions for the existence and globally exponential stability of the equilibrium point are obtained.
This paper investigates the problem of robust H∞ fault-tolerant control for a class of uncertain nonlinear networked control system (NCSs) with external disturbance. A T-S fuzzy model is employed to represent the nonlinear controlled plant in the NCSs. Both networked-induced delay and packet dropout in transmission are addressed. By using Lyapunov-Krasovskii functional, introducing some slack matrices,...
In this paper , With assumption of global Lipschitz conditions on the activation functions, by Lyapunov function and Halanay differential inequality with delay, we study a class of cellular neural networks with distributed delays and large impulses. It obtained a sufficient condition for globally exponential stability of the equilibrium point.
In this paper, with assuming global Lipschitz conditions on the activation functions, applying idea of vector Lyapunov function, Young inequality and Halanay differential inequality with delay, the global exponential stability of the equilibrium point for a class of cellular neural networks with distributed delays and large impulses is investigated, the sufficient conditions for globally exponential...
In this paper, the main purpose is to study the global exponential stability of the equilibrium point for a class of cellular neural networks with impulses and distributed delays. With the assumption of global Lipschitz conditions on the activation function, applying idea of vector Lyapunov function, combining Halanay differential inequality with delay, a sufficient condition for globally exponential...
The main purpose of this paper is to study the globally exponential stability of the equilibrium point for a class of impulsive neural networks with time-varying delays. Without assuming global Lipschitz conditions on the activation functions, applying idea of vector Lyapunov function, combining Halanay differential inequality with delay, the sufficient conditions for globally exponential stability...
The main purpose of this paper is to study the globally exponential stability of the equilibrium point for a class of cellular neural networks with distributed delays and large impulses. With assuming global Lipschitz conditions on the activation functions, applying idea of vector Lyapunov function, combining Halanay differential inequality with delay, the sufficient conditions for globally exponential...
In this paper, a model of impulsive BAMs neural networks is first formulated. We investigate impulsive effects on the stability of BAMs neural networks with delays and obtain some sufficient conditions ensuring exponential stability of the impulsive delay system.The results extend and improve some recent works for impulsive neural networks as well as non-impulsive neural networks.
The problem of robust fault-tolerant control for networked control systems (NCSs) is discussed in this paper. The uncertainty of network-induced delays is converted to the uncertainty of the parameter matrix, and in order to eliminate the effect of the asynchronism the states are transformed into the augmented states. Based on Lyapunov stability theory and linear matrix inequality (LMI), the sufficient...
We propose and analyze a handoff scheme with channel borrowing in integrated wireless mobile networks. Channels in each cell are divided into two parts and pre-allocated to real-time and non-real-time services. Each type of service is allowed to borrow channels from the other under certain conditions. A non-real-time service call can borrow an unused channel assigned to real-time service but it can...
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