What is it about?
The research is on the stochastic stability problem for neutral-type markovian jump neural networks with additive time-varying delasy
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Why is it important?
To obtain less conservative delay-dependent stability condition, this paper introduce an important and novel inequality about reciprocally convex combination to deal with the delayed dynamic systems with two and more delays.
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This page is a summary of: Stochastic stability analysis for neutral-type Markov jump neural networks with additive time-varying delays via a new reciprocally convex combination inequality, International Journal of Systems Science, March 2019, Taylor & Francis, DOI: 10.1080/00207721.2019.1586005.
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