Robust H∞ filtering for Markovian jumping static neural networks with time-varying delays
2020 ◽
Vol 14
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pp. 174830262093134
Keyword(s):
The problem of robust H∞ filtering for Markovian jumping static neural networks with time-varying delays is considered in this paper. The effect of the activation function on the time delays is comprehensively considered. Based on Wirtinger inequality, a new inequality is quoted to solve the Lyapunov functions with the double-integral terms. Then, a less conservative result on the robust H∞ filtering is obtained, which guarantees the resulting error systems stochastically stable and satisfies a prescribed H∞ performance index. The effectiveness of the developed results is finally demonstrated by numerical examples.
Keyword(s):
2018 ◽
Vol 32
(09)
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pp. 1850116
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Keyword(s):
2020 ◽
Vol 357
(5)
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pp. 2892-2915
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Keyword(s):
2020 ◽
pp. 1-10
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Keyword(s):
2012 ◽
Vol 218
(9)
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pp. 5769-5781
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