L2 −l∞ Filtering for Time-delayed Switched Hopfield Neural Networks
نویسندگان
چکیده
This paper investigates the delay-dependent L2 − L∞ filtering problem for time-delayed switched Hopfield neural networks. A new type of L2−L∞ filter is proposed such that the filtering error system is asymptotically stable with guaranteed L2 − L∞ performance. The criterion is formulated in terms of linear matrix inequalities (LMIs), which can be checked readily by using certain types of standard numerical packages. A numerical example illustrates the effectiveness of the proposed L2 − L∞ filter.
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