Stability analysis for switched Hopfield neural networks with time delay
β Scribed by Jie Lian; Kai Zhang; Zhi Feng
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 585 KB
- Volume
- 33
- Category
- Article
- ISSN
- 0143-2087
- DOI
- 10.1002/oca.1005
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π SIMILAR VOLUMES
In this paper, the global stability problem of uncertain Takagi-Sugeno (T-S) fuzzy Hopfield neural networks with time delays (TSFHNNs) is considered. A novel LMI-based stability criterion is obtained by using Lyapunov functional theory to guarantee the asymptotic stability of TSFHNNs. Here, we choos
This paper is concerned with delay-dependent stability analysis for uncertain Tagaki-Sugeno (T-S) fuzzy Hopfield neural networks (UFHNNs) with time-varying delay. By decomposing the delay interval into multiple equidistant subintervals, Lyapunov-Krasovskii functionals (LKFs) are constructed on these
The problem of stochastic robust stability of a class of stochastic Hopfield neural networks with time-varying delays and parameter uncertainties is investigated in this paper. The parameter uncertainties are time-varying and norm-bounded. The time-delay factors are unknown and time-varying with kno