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Simple criteria for sector root clustering of uncertain systems with multiple time delays

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  • Sun, Yeong-Jeu
  • Gau, Ruey-Shyan
  • Hsieh, Jer-Guang

Abstract

In this paper, simple delay-dependent criteria are proposed for the sector root clustering and stability of uncertain systems with multiple time delays. A numerical example is provided to illustrate the use of our main results.

Suggested Citation

  • Sun, Yeong-Jeu & Gau, Ruey-Shyan & Hsieh, Jer-Guang, 2009. "Simple criteria for sector root clustering of uncertain systems with multiple time delays," Chaos, Solitons & Fractals, Elsevier, vol. 39(1), pages 65-71.
    • Handle: RePEc:eee:chsofr:v:39:y:2009:i:1:p:65-71
    DOI: 10.1016/j.chaos.2007.01.129
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    References listed on IDEAS

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    1. Tu, Fenghua & Liao, Xiaofeng, 2005. "Estimation of exponential convergence rate and exponential stability for neural networks with time-varying delay," Chaos, Solitons & Fractals, Elsevier, vol. 26(5), pages 1499-1505.
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    5. Zhang, Hongbin & Li, Chunguang & Liao, Xiaofeng, 2005. "A note on the robust stability of neural networks with time delay," Chaos, Solitons & Fractals, Elsevier, vol. 25(2), pages 357-360.
    6. Liu, Jiang, 2005. "Global exponential stability of Cohen–Grossberg neural networks with time-varying delays," Chaos, Solitons & Fractals, Elsevier, vol. 26(3), pages 935-945.
    7. Li, Yongkun, 2005. "Global exponential stability of BAM neural networks with delays and impulses," Chaos, Solitons & Fractals, Elsevier, vol. 24(1), pages 279-285.
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