Improved delay-dependent stability analysis for uncertain stochastic hopfield neural networks with time-varying delays
โ Scribed by Chen, Y.; Xue, A.; Zhao, X.; Zhou, S.
- Book ID
- 117811494
- Publisher
- The Institution of Engineering and Technology
- Year
- 2009
- Tongue
- English
- Weight
- 180 KB
- Volume
- 3
- Category
- Article
- ISSN
- 1751-8644
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๐ SIMILAR VOLUMES
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
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