A novel nonzero functional method to extended dissipativity analysis for neural networks with Markovian jumps
Wenlong Xue,
Yufeng Tian,
Zhenghong Jin
Abstract:<abstract><p>This paper explored the topic of extended dissipativity analysis for Markovian jump neural networks (MJNNs) that were influenced by time-varying delays. A distinctive Lyapunov functional, distinguished by a non-zero delay-product types, was presented. This was achieved by combining a Wirtinger-based double integral inequality with a flexible matrix set. This novel methodology addressed the limitations of the slack matrices found in earlier research. As a result, a fresh condition for e… Show more
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