We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
New Results on Passivity for Discrete-Time Stochastic Neural Networks with Time-Varying Delays.
- Authors
Kang, Wei; Cheng, Jun; Cheng, Xiangyang
- Abstract
The problem of passivity analysis for discrete-time stochastic neural networks with time-varying delays is investigated in this paper. New delay-dependent passivity conditions are obtained in terms of linear matrix inequalities. Less conservative conditions are obtained by using integral inequalities to aid in the achievement of criteria ensuring the positiveness of the Lyapunov-Krasovskii functional. At last, numerical examples are given to show the effectiveness of the proposed method.
- Subjects
PASSIVITY-based control; DISCRETE-time systems; STOCHASTIC analysis; ARTIFICIAL neural networks; TIME-varying systems
- Publication
Mathematical Problems in Engineering, 2015, Vol 2015, p1
- ISSN
1024-123X
- Publication type
Article
- DOI
10.1155/2015/341839