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
✦ LIBER ✦
Robust H∞ filter design for uncertain stochastic Markovian jump Hopfield neural networks with mode-dependent time-varying delays
✍ Scribed by Zhuang, Guangming; Lu, Junwei; Zhang, Minsong
- Book ID
- 121420732
- Publisher
- Elsevier Science
- Year
- 2014
- Tongue
- English
- Weight
- 570 KB
- Volume
- 127
- Category
- Article
- ISSN
- 0925-2312
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## Abstract This paper deals with the problem of robust __H__~∞~ filter design for Markovian jump systems with norm‐bounded time‐varying parameter uncertainties and mode‐dependent distributed delays. Both the state and the measurement equations are assumed to be with distributed delays. Sufficient
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