@inproceedings{5f8c36db791346399a5fd561b4dd2da0,
title = "On Robust Exponential stability of a class of attractor neural networks",
abstract = "Robust Exponential stability of continuous-time attractor neural networks with delays is discussed. A new sufficient condition ensuring existence and uniqueness of periodic solution for a general class of interval dynamical systems are obtained. Discrete-time analogue of the continuous-time systems with periodic input is formulated and we study their dynamical characteristics. The robust exponential stability and periodicity of the continuous-time systems is preserved by the discrete-time analogue without any restriction imposed on the uniform discretization step-size.",
keywords = "Discrete-time analogue, Periodic solution, Robust, Stability",
author = "Changyin Sun and Shi Zhang",
year = "2005",
language = "英语",
isbn = "008045108X",
series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",
pages = "94--99",
booktitle = "Proceedings of the 16th IFAC World Congress, IFAC 2005",
note = "16th Triennial World Congress of International Federation of Automatic Control, IFAC 2005 ; Conference date: 03-07-2005 Through 08-07-2005",
}