Delay-range-dependent exponential stability criteria and decay estimation for switched Hopfield neural networks of neutral type |
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Authors: | Guangdeng Zong Jia Liu Yunxi Zhang Linlin Hou |
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Institution: | 1. Research Institute of Automation, Qufu Normal University, Qufu, Shandong 273165, People’s Republic of China;2. College of Information Technology Science, Nankai University, Tianjin 300071, People’s Republic of China |
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Abstract: | This paper is concerned with the problem of delay-range-dependent global exponential stability and decay estimation for a class of switched Hopfield neural networks (SHNNs) of neutral type. An average dwell time method is introduced into switched Hopfield neural networks. By constructing a new Lyapunov–Krasovskii functional and designing a switching law, some criteria are proposed for guaranteeing exponential stability for a given system, while the exponential decay estimation is explicitly developed for the states. A numerical example is provided to demonstrate the effectiveness of the main results. |
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