This paper studies the problem of asymptotically stability for neural networks with time-varying delays.By establishing a suitable Lyapunov-Krasovskii function and several novel sufficient conditions are obtained to guarantee the asymptotically stability of the considered system. Finally,two numerical examples are given to illustrate the effectiveness of the proposed main results
This paper presents new sufficient conditions for the uniqueness and exponential stability of the eq...
In this paper, utilizing the Lyapunov functional method and combining linear matrix inequality (LMI)...
This paper derives a new sufficient condition for the exponential stability of the equilibrium point...
This paper studies the problem of globally asymptotic stability analysis for neural networks wit...
This paper considers the problem of stability analysis for neural networks with time-varying delays....
AbstractThe problem of delay-dependent asymptotic stability criteria for neural networks (NNs) with ...
We study the dynamical behavior of a class of neural network models with time-varying delays. By con...
This paper concerned the problem of delay-dependent asymptotic stability for neural networks with ti...
This paper discusses stability of neural networks (NNs) with time-varying delay. Delay-fractioning L...
This paper investigates the problem of global asymptotic stability for a class of neural networks wi...
This paper presents sufficient conditions for global asymptotic/exponential stability of neural netw...
This paper presents sufficient conditions for global asymptotic/exponential stability of neural netw...
This brief deals with the problem of global asymptotic stability for a class of delayed neural netwo...
This paper presents a new sufficient condition for the uniqueness and global asymptotic stability of...
Utilizing the Lyapunov functional method and combining linear matrix inequality (LMI) techniques and...
This paper presents new sufficient conditions for the uniqueness and exponential stability of the eq...
In this paper, utilizing the Lyapunov functional method and combining linear matrix inequality (LMI)...
This paper derives a new sufficient condition for the exponential stability of the equilibrium point...
This paper studies the problem of globally asymptotic stability analysis for neural networks wit...
This paper considers the problem of stability analysis for neural networks with time-varying delays....
AbstractThe problem of delay-dependent asymptotic stability criteria for neural networks (NNs) with ...
We study the dynamical behavior of a class of neural network models with time-varying delays. By con...
This paper concerned the problem of delay-dependent asymptotic stability for neural networks with ti...
This paper discusses stability of neural networks (NNs) with time-varying delay. Delay-fractioning L...
This paper investigates the problem of global asymptotic stability for a class of neural networks wi...
This paper presents sufficient conditions for global asymptotic/exponential stability of neural netw...
This paper presents sufficient conditions for global asymptotic/exponential stability of neural netw...
This brief deals with the problem of global asymptotic stability for a class of delayed neural netwo...
This paper presents a new sufficient condition for the uniqueness and global asymptotic stability of...
Utilizing the Lyapunov functional method and combining linear matrix inequality (LMI) techniques and...
This paper presents new sufficient conditions for the uniqueness and exponential stability of the eq...
In this paper, utilizing the Lyapunov functional method and combining linear matrix inequality (LMI)...
This paper derives a new sufficient condition for the exponential stability of the equilibrium point...