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Can I read Globally Exponential Stability Conditions for Cellular Neural Networks with Time-varying Delays on EtoBox?
Globally Exponential Stability Conditions for Cellular Neural Networks with Time-varying Delays by Dongming Zhou; Jinde Cao is a Mathematics article available to read on EtoBox.
What is Globally Exponential Stability Conditions for Cellular Neural Networks with Time-varying Delays about?
In this paper, the problems of global exponential stability for cellular neural networks (CNN) with time-varying delays are studied. Several sufficient conditions guaranteeing the network's global exponential stability are established. These results can easily be used to design and verify globally stable networks. Furthermore, the results presented here are independent of the form of specific delays and have important significance in both theory and applications.
Who reads Globally Exponential Stability Conditions for Cellular Neural Networks with Time-varying Delays?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- Dongming Zhou; Jinde Cao
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0096-3003)
- Published
- 2002
- Language
- EN
- Field
- Mathematics (Physical Sciences)