l2-l∞ Filtering for Discrete Time-Delay Markovian Jump Neural Networks

نویسندگان

  • Jianping ZHOU
  • Zhen WANG
  • Deming YUAN
  • Hao SHEN
چکیده

This paper considers the l2-l∞ filter problem for discrete time-delay Markovian jump neural networks. Attention is focused on the design of a reduced-order filter to guarantee stochastic stability and a prescribed l2-l∞ performance for the filtering error system. In terms of linear matrix inequalities (LMIs), a delay-dependent sufficient condition for the solvability of the addressed problem is presented. When these LMIs are feasible, an explicit expression for the desired reduced-order filter is given. A numerical example is provided to show the effectiveness of the proposed results. Streszczenie. W artykule analizuje się problem filtru l2-l∞ dla dyskretnego opóźnienia czasowego sieci neuronowej ze skokiem Markova. Szczególną uwagę zwrócono na projekt filtru zredukowanego rzędu dla zagwarantowania stochastycznej stabilności. Zaprezentowano wystarczające warunki dla rozwiązywalności układu przy liniowej macierzy nierówności LMIs. (Filtrowanie l2-l∞ dla dyskretnego opóźnienia czasowego sieci neuronowej ze skokiem Markova)

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تاریخ انتشار 2011