4.7 Article

Further results on state estimation for neural networks of neutral-type with time-varying delay

Journal

APPLIED MATHEMATICS AND COMPUTATION
Volume 208, Issue 1, Pages 69-75

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.amc.2008.11.017

Keywords

Neural networks; Neutral-type; State estimation; LMI; Lyapunov method

Funding

  1. Yeungnam University [208-A-235-109]
  2. National Research Foundation of Korea [과C6B1621] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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In this paper, further result on design problem of state estimator for a class of neural networks of neutral type is presented. A delay-dependent linear matrix inequality (LMI) criterion for existence of the estimator is derived. A numerical simulation is given to show the effectiveness of proposed estimator. (C) 2008 Elsevier Inc. All rights reserved.

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