Robust Stability Analysis for Delayed BAM Neural Networks

  • Yijing Wang
  • Zhiqiang Zuo
Conference paper

DOI: 10.1007/978-3-540-71629-7_11

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4432)
Cite this paper as:
Wang Y., Zuo Z. (2007) Robust Stability Analysis for Delayed BAM Neural Networks. In: Beliczynski B., Dzielinski A., Iwanowski M., Ribeiro B. (eds) Adaptive and Natural Computing Algorithms. ICANNGA 2007. Lecture Notes in Computer Science, vol 4432. Springer, Berlin, Heidelberg

Abstract

The problem of robust stability for a class of uncertain bidirectional associative memory neural networks with time delays is investigated in this paper. A more general Lyapunov-Krasovskii functional is proposed to derive a less conservative robust stability condition within the framework of linear matrix inequalities. A numerical example is given to illustrate the effectiveness of the proposed method.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Yijing Wang
    • 1
  • Zhiqiang Zuo
    • 1
  1. 1.School of Electrical Engineering & Automation, Tianjin University, Tianjin, 300072China

Personalised recommendations