Abstract
This paper is concerned with the delay-dependent exponential robust filtering problem for switched Hopfield neural networks with time-delay. A new delay-dependent switched exponential robust filter is proposed that results in an exponentially stable filtering error system with a guaranteed robust performance. The design of the switched exponential robust filter for these types of neural networks can be achieved by solving a linear matrix inequality (LMI), which can be easily facilitated using standard numerical packages. An illustrative example is given to demonstrate the effectiveness of the proposed filter.
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Communicated by Emilio Frazzoli.
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Ahn, C.K. Linear Matrix Inequality Optimization Approach to Exponential Robust Filtering for Switched Hopfield Neural Networks. J Optim Theory Appl 154, 573–587 (2012). https://doi.org/10.1007/s10957-012-0008-7
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DOI: https://doi.org/10.1007/s10957-012-0008-7