State estimation of neural networks with two Markovian jumping parameters and multiple time delays

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• 作者：Jiaojiao Ren^a ; ^b ; ^{jiaojiaoren06@163.com} ; Xinzhi Liu^b ; Hong Zhu^a ; Shouming Zhong^c ; Kaibo Shi^d
• 刊名：Journal of the Franklin Institute
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：354
• 期：2
• 页码：812-833
• 全文大小：668 K
• 卷排序：354

文摘

The problem of state estimation for neural networks with two different Markovian jumping parameters is studied. The Markovian jumping parameters in connection weight matrices and discrete time-varying delay are assumed to be different. Leakage delay is added to the considered model. Matrix decomposition method and Wirtinger-based integral inequality are introduced to obtain a less conservative condition. An appropriate Lyapunov–Krasovskii function is constructed which contains more mode-dependent Lyapunov matrices.