Title page for etd-0623108-143752


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URN etd-0623108-143752
Author Ruey-shyan Gau
Author's Email Address gau.rueysha@msa.hinet.net
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Department Electrical Engineering
Year 2007
Semester 2
Degree Ph.D.
Type of Document
Language English
Title Research on Global Stability for Some Uncertain Neural Networks with Multiple Time-varying Delays via LMI Approach
Date of Defense 2008-06-13
Page Count 108
Keyword
  • Global Stability
  • Neural Networks
  • linear matrix inequality (LMI) approach
  • Time-varying Delays
  • Abstract In this dissertation, we will investigate the global stability for some uncertain neural networks with multiple time-varying delays. These well-known neural networks include delayed cellular neural networks (DCNNs), delayed bidirectional associative memory neural networks (DBAMNNs), and delayed Cohen-Grossberg neural networks (DCGNNs). Delay-dependent and delay-independent criteria will be proposed to guarantee the robust stability of these uncertain delayed neural networks via linear matrix inequality (LMI) approach. Three types of uncertainties on feedback and delayed feedback matrices in these uncertain delayed neural networks will be considered in this study, namely uncertainties with structured perturbation, norm-bounded unstructured perturbation, and interval perturbation. Some numerical examples will be given to illustrate the effectiveness of our results. Some comparisions are made to show that our results are better than some results in recent literature.
    Advisory Committee
  • Tsu-Tian Lee - chair
  • Jeng Yih Juang - co-chair
  • Chang-Hua Lien - co-chair
  • Jyh-Horng Jeng - co-chair
  • Jer-Guang Hsieh - advisor
  • Files
  • etd-0623108-143752.pdf
  • indicate access worldwide
    Date of Submission 2008-06-23

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