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  • Title: Stability and dissipativity analysis of distributed delay cellular neural networks.
    Author: Feng Z, Lam J.
    Journal: IEEE Trans Neural Netw; 2011 Jun; 22(6):976-81. PubMed ID: 21558058.
    Abstract:
    In this brief, the problems of delay-dependent stability analysis and strict (Q,S,ℜ)-α-dissipativity analysis are investigated for cellular neural networks (CNNs) with distributed delay. First, by introducing an integral partitioning technique, two new forms of Lyapunov-Krasovskii functionals are constructed, and improved distributed delay-dependent stability conditions are established in terms of linear matrix inequalities. Based on this criterion, a new sufficient delay and α-dependent condition is given to guarantee that the CNNs with distributed delay are strictly (Q,S,ℜ)-α-dissipative. The results developed in this brief can tolerate larger allowable delay than existing ones in the literature, which is demonstrated by several examples.
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