Abstract
This paper deals with the finite-time stability problem for switched static neural networks with time-varying delay. Firstly, the concept of finite-time stability is extended to switched static neural networks. Secondly, based on Lyapunov-like functional method, a sufficient criterion is derived, which can guarantee the finite-time stability of the considered systems. Moreover, the obtained conditions can be simplified into linear matrix inequalities conditions for convenient use. Finally, a numerical example is given to show the effectiveness of the proposed results.
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Wu, Y., Cao, J. (2014). Finite-Time Stability of Switched Static Neural Networks. In: Zeng, Z., Li, Y., King, I. (eds) Advances in Neural Networks – ISNN 2014. ISNN 2014. Lecture Notes in Computer Science(), vol 8866. Springer, Cham. https://doi.org/10.1007/978-3-319-12436-0_18
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DOI: https://doi.org/10.1007/978-3-319-12436-0_18
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