A delay-dependent approach to robust passivity analysis for takagi-sugeno fuzzy uncertain recurrent neural networks with mixed interval time-varying delays

K. H. Tseng, J. S.H. Tsai, C. Y. Lu

研究成果: Article

1 引文 斯高帕斯(Scopus)

摘要

This paper deals with the passivity analysis problem for Takagu-Sugeno (T-S) fuzzy neural networks with mixed interval time-varying delays and uncertain parameters. The time delays comprise discrete and distributed interval time-varying delays and the uncertain parameters are norm-bounded. Delay-dependent sufficient conditions for the passivity problem are obtained by using Lyapunov-Krasovskii functional approach and linear matrix inequality (LMI) technique. The important feature of the results lies in that it does not make use of upper bounds to introduce some degree of conservativeness. Two illustrative examples are exploited in order to illustrate the effectiveness of the proposed design procedures.

原文English
頁(從 - 到)415-433
頁數19
期刊International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems
21
發行號3
DOIs
出版狀態Published - 2013 六月 1

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Information Systems
  • Artificial Intelligence

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