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This study is concerned with the robust energytopeak (l_{2}–l_{∞}) filtering problem for a class of uncertain linear discretetime networked control systems with timevarying delays and randomly missing data. The system matrices are assumed to reside in a convex polytope, and the timevarying delays appearing in system states are assumed to lie in a given interval. Moreover, the random data missing is supposed to satisfy the Bernoulli random binary distribution. The authors' goal is to design a fullorder filter such that the filtering error dynamic system is exponentially meansquare stable for all admissible time delays and randomly missing data while a prescribed l_{2}–l_{∞} performance is achieved. Sufficient delay and parameterdependent conditions for the existence of the filter and for the solvability of the addressed problem are given in terms of a set of linear matrix inequalities. Finally, simulation examples and comparison studies are provided to demonstrate the effectiveness of the proposed approach.
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