Delay-Dependent Stability Analysis for Neutral Type Neural Networks with Uncertain Parameters and Time-Varying Delay

نویسندگان

  • Qingqing Wang
  • Shouming Zhong
چکیده

In this paper, delay-dependent stability analysis for neutral type neural networks with uncertain paramters and time-varying delay is studied. By constructing new Lyapunov-Krasovskii functional and dividing the delay interval into multiple segments, a novel sufficient condition is established to guarantee the globally asymptotically stability of the considered system. Finally, a numerical example is provided to illustrate the usefulness of the proposed main results. Keywords—Neutral type neural networks, Time-varying delay, Stability, Linear matrix inequality(LMI).

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تاریخ انتشار 2014